2018  Yuanzhi Li, Yingyu Liang  Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data 
2019  Greg Ongie, Rebecca Willett, Daniel Soudry, and Nathan Srebro  A function space view of bounded norm infinite width relu nets: The multivariate case 
2019  Z. Charles, H. Rosenberg, D. Papailiopoulos  A Geometric Perspective on the Transferability of Adversarial Directions 
2019  Sylvain Arlot, Alain Celisse, Zaid Harchaoui  A Kernel Multiple Changepoint Algorithm via Model Selection 
2019  Alexander GreavesTunnell, Zaid Harchaoui  A Statistical Investigation of Long Memory in Language and Music 
2019  Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, and ChoJui Hsieh  A unified framework for data poisoning attack to graphbased semisupervised learning 
2019  Vincent Roulet, Zaid Harchaoui  An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks 
2019  Hongzhou Lin, Julien Mairal, Zaid Harchaoui  An Inexact Variable Metric Proximal Point Algorithm for Generic QuasiNewton Acceleration 
2019  Xie, Y. and Wright, S. J.  Complexity of proximal augmented Lagrangian for nonconvex optimization with nonlinear equality constraints 
2019  Z Charles, S Rajput, S Wright, D Papailiopoulos  Convergence and Margin of Adversarial Training on Separable Data 
2019  Yuzhe Ma, Xiaojin Zhu, and Justin Hsu  Data Poisoning against DifferentiallyPrivate Learners: Attacks and Defenses 
2019  S Rajput, H Wang, Z Charles, D Papailiopoulos  DETOX: A Redundancybased Framework for Faster and More Robust Gradient Aggregation 
2019  Kit Newton, Qin Li and Andrew Stuart  Diffusive optical tomography in the Bayesian framework 
2019  S Rajput, Z. Feng, Z. Charles, P.L. Loh, D. Papailiopoulos  Does Data Augmentation Lead to Positive Margin? 
2019  Glendening, E., Wright, S. J., and Weinhold, F.  Efficient optimization of natural resonance theory weightings and bond orders by Grambased convex programming 
2019  Owen Levin, Zihang Meng, Vikas Singh, Xiaojin Zhu  Fooling Computer Vision into Inferring the Wrong Body Mass Index 
2019  Farida Enikeeva, Zaid Harchaoui  Highdimensional Changepoint Detection under Sparse Alternatives 
2019  Vincent Roulet, Siddhartha Srinivasa, Dmitriy Drusvyatskiy, Zaid Harchaoui  Iterative Linearized Control: Stable Algorithms and Complexity Guarantees 
2019  Zeyuan AllenZhu, Yuanzhi Li, Yingyu Liang  Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers 
2019  Zhu, Z., Li, X., Wang, M., and Zhang, A.  Learning Markov models via lowrank optimization 
2019  Shengchao Liu, Mehmet Furkan Demirel, Yingyu Liang  NGram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules 
2019  D. Gilton, G. Ongie, and R. Willett  Neumann networks for inverse problems in imaging 
2019  Xuezhou Zhang, Xiaojin Zhu, and Laurent Lessard  Online Data Poisoning Attacks 
2019  Yiding Chen and Xiaojin Zhu  Optimal Adversarial Attack on Autoregressive Models 
2019  Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu  Policy Poisoning in Batch Reinforcement Learning and Control 
2019  Zhang H, Ericksen SS, Lee Cp, Ananiev GE, Wlodarchak N, Yu P, Mitchell JC, Gitter A, Wright SJ, Hoffman FM, Wildman SA, Newton MA  Predicting kinase inhibitors using bioactivity matrix derived informer sets 
2019  Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, and Adish Singla  Preferencebased batch and sequential teaching: Towards a unified view of models 
2019  Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang  Recovery Guarantees for Quadratic Tensors with Limited Observations 
2019  R. M. Willett  Response to “artificial intelligence—the revolution hasn’t happened yet" 
2019  Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha  Robust Attribution Regularization 
2019  Ke Chen, Qin Li, Stephen J. Wright  Schwarz iteration method for elliptic equation with rough media based on random sampling 
2019  Ayon Sen, Xiaojin Zhu, Liam Marshall, Robert Nowak  Should Adversarial Attacks Use Pixel pNorm? 
2019  Sanjoy Dasgupta, Daniel Hsu, Stefanos Poulis, Xiaojin Zhu  Teaching a blackbox learner 
2020  Haotian Jiang, Tarun Kathuria, Yin Tat Lee, Swati Padmanabhan, Zhao Song  A Faster Interior Point Method for Semidefinite Programming 
2020  Luo, Y., Han, R. and Zhang, A. R.  A Schattenq matrix perturbation theory via perturbation projection error bound 
2020  Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian  Acceleration with a Ball Optimization Oracle 
2020  Haotian Jiang, Yin Tat Lee, Zhao Song, Sam Chiuwai Wong  An improved cutting plane method for convex optimization, convexconcave games, and its applications 
2020  Yin Tat Lee, Swati Padmanabhan  An Õ(m/ε3.5)Cost Algorithm for Semidefinite Programs with Diagonal Constraints 
2020  Rungang Han, Rebecca Willett, and Anru Zhang  An optimal statistical and computational framework for generalized tensor estimation 
2020  Wright, S. J. and Lee, C.p.  Analyzing random permutations for cyclic coordinate descent 
2020  Yuling Yan, Bret Hanlon, Sebastien Roch and Karl Rohe  Asymptotic seed bias in respondentdriven sampling 
2020  Zaid Harchaoui, Lang Liu, Soumik Pal  Asymptotics of EntropyRegularized Optimal Transport via Chaos Decomposition 
2020  H. Wang, K. Sreenivasan, S. Rajput, H. Vishwakarma, S. Agarwal, J.Y, Sohn, K. Lee, and D. Papailiopoulos  Attack Of The Tails: Yes, You Really Can Backdoor Federated Learning 
2020  S. Liu, D. Papailiopoulos, D. Achlioptas  Bad Global Minima Exist and SGD Can Reach Them 
2020  Jan van den Brand, Yin Tat Lee, Danupon Nanongkai, Richard Peng, Thatchaphol Saranurak, Aaron Sidford, Zhao Song, Di Wang  Bipartite Matching in Nearlylinear Time on Moderately Dense Graphs 
2020  Sébastien Bubeck, Bo'az Klartag, Yin Tat Lee, Yuanzhi Li, Mark Sellke  Chasing Nested Convex Bodies Nearly Optimally 
2020  Shashank Rajput, Anant Gupta, Dimitris Papailiopoulos  Closing the convergence gap of SGD without replacement 
2020  Sally Dong, Yin Tat Lee, Kent Quanrud  Computing Circle Packing Representations of Planar Graphs 
2020  Mardia, Jay, Jiantao Jiao, Ervin Tánczos, Robert D. Nowak, and Tsachy Weissman  Concentration inequalities for the empirical distribution of discrete distributions: beyond the method of types 
2020  L. Zheng, R. Willett, and G. Raskutti  Contextdependent selfexciting point processes:models, methods, and risk bounds in high dimensions 
2020  G. Ongie, C. Metzler, A. Jalal, A. Dimakis, R. Baraniuk, and R. Willett  Deep learning techniques for inverse problems in imaging 
2020  Zhang, C., Han, R., Zhang, A. R., and Voyles, P. M.  Denoising Atomic Resolution 4D Scanning Transmission Electron Microscopy Data with Tensor Singular Value Decomposition 
2020  D. Wang, Y. Yu, and R. Willett  Detecting abrupt changes in highdimensional selfexciting poisson processes 
2020  D. Gilton, R. Luo, R. Willett, and G. Shakhnarovich  Detection and description of change in visual streams 
2020  Marek Eliás, Michael Kapralov, Janardhan Kulkarni, Yin Tat Lee  Differentially Private Release of Synthetic Graphs 
2020  Corinne Jones, Zaid Harchaoui  EndtoEnd Learning for Retrospective ChangePoint Estimation 
2020  Zhiyan Ding, Lukas Einkemme and Qin Li  Dynamical LowRank Integrator for the Linear Boltzmann Equation: Error Analysis in the Diffusion Limit 
2020  Han, R., Luo, Y., Wang, M., and Zhang, A. R.  Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit 
2020  H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni  Federated Learning with Matched Averaging 
2020  Mason, Blake, Lalit Jain, Ardhendu Tripathy, and Robert Nowak.  Finding All εGood Arms in Stochastic Bandits 
2020  Yassine Laguel, Jerome Malick, Zaid Harchaoui  Firstorder Optimization for Superquantilebased Supervised Learning 
2020  D. Wang, Z. Zhao, R. Willett, and C. Y. Yau  Functional autoregressive processes in reproducing kernel hilbert spaces 
2020  D. Wang, Z. Zhao, Y. Yu, and R. Willett  Functional linear regression with mixed predictors 
2020  Mukherjee, S., Tripathy, A. and Nowak, R  Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms 
2020  Fangzhou Mu, Yin Li, Yingyu Liang  Gradients as Features for Deep Representation Learning 
2020  Y. Li, B. Mark, G. Raskutti, R.Willett, H. Song, and D. Neiman  Graphbased regularization for regression problems with alignment and highlycorrelated designs 
2020  Meyer Scetbon, Zaid Harchaoui  Harmonic Decompositions of Convolutional Networks 
2020  WaiTong Louis Fan, Brandon Legried & Sebastien Roch  Impossibility of Consistent Distance Estimation from Sequence Lengths Under the TKF91 Model. 
2020  WaiTong Louis Fan, Brandon Legried and Sebastien Roch  Impossibility of phylogeny reconstruction from kmer counts 
2020  Lee, C.p. and Wright, S. J.  Inexact variable metric stochastic blockcoordinate descent for regularized optimization 
2020  Xia, D., Zhang, A. R., and Zhou, Y.  Inference for lowrank tensors–no need to debias 
2020  Anru Zhang, Yuetian Luo, Garvesh Raskutti, and Ming Yuan  ISLET: Fast and optimal lowrank tensor regression via importance sketching 
2020  Hui Yuan, Yingyu Liang  Learning Entangled SingleSample Distributions via Iterative Trimming 
2020  Miaoyan Wang and Lexin Li  Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and Its Statistical Optimality 
2020  Naman Agarwal, Sham M. Kakade, Rahul Kidambi, Yin Tat Lee, Praneeth Netrapalli, Aaron Sidford  Leverage Score Sampling for Faster Accelerated Regression and ERM 
2020  W. J. Marais, R. E. Holz, J. S. Reid, and R. M. Willett  Leveraging spatial textures, through machine learning, to identify aerosol and distinct cloud types from multispectral observations 
2020  D. Wang, Y. Yu, A. Rinaldo, and R. Willett  Localizing changes in highdimensional vector autoregressive processes 
2020  Yin Tat Lee, Ruoqi Shen, Kevin Tian  Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo 
2020  Chen, S., Li, Q., Lu, J., and Wright, S. J.  Manifold learning and nonlinear homogenization 
2020  Karzand, Mina, and Robert D. Nowak  MaxiMin Active Learning in Overparameterized Model Classes 
2020  Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Dan Mikulincer  Network size and size of the weights in memorization with twolayers neural networks 
2020  Vincent Roulet, Maryam Fazel, Siddhartha Srinivasa, Zaid Harchaoui  On the Convergence of the ILEQG Algorithm to Stationary Points 
2020  Cai, T. T., Han, R., and Zhang, A. R.  On the nonasymptotic concentration of heteroskedastic Wisharttype random matrix 
2020  Luo, Y. and Zhang, A. R.  Open Problem: AverageCase Hardness of Hypergraphic Planted Clique Detection. 
2020  Yiding Chen and Xiaojin Zhu  Optimal attack against autoregressive models by manipulating the environment 
2020  Malloy, M.L., Tripathy, A. and Nowak, R.D  Optimal confidence regions for the multinomial parameter 
2020  A. Pensia, S. Rajput, A. Nagle, H. Vishwakarma, D. Papailiopoulos  Optimal Lottery Tickets via SubsetSum: Logarithmic OverParameterization is Sufficient 
2020  Zhou, Y., Zhang, A. R., Zheng, L., and Wang, Y.  Optimal Ultrahighorder tensor SVD via tensortrain orthogonal iteration 
2020  RuYu Lai and Qin Li  Parameter Reconstruction for general transport equation 
2020  Niao He, Zaid Harchaoui, Yichen Wang, Le Song  Point Process Estimation with Mirror Prox Algorithms 
2020  Brandon Legried, Erin Molloy, Tandy Warnow, and Sebastien Roch  PolynomialTime Statistical Estimation of Species Trees Under Gene Duplication and Loss 
2020  Sen, Ayon, Xiaojin Zhu, Erin Marshall, and Robert Nowak  Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception 
2020  Arun Jambulapati, Yin Tat Lee, Jerry Li, Swati Padmanabhan, Kevin Tian  Positive semidefinite programming: mixed, parallel, and widthindependent 
2020  B. D. Luck, J. L. Drewry, R. D. Shaver, R. M. Willett, and L. F. Ferraretto  Predicting in situ dry matter degradability of chopped and processed corn kernels using image analysis techniques 
2020  Ng, T. L. and Newton, M. A.  Random weighting to approximate posterior inference in LASSO regression 
2020  Gürbüzbalaban, M., Ozdaglar, A., Vanli, N. D., and Wright, S. J.  Randomness and permutations in coordinate descent methods 
2020  Luo, Y., Huang, W., Li, X., and Zhang, A. R.  Recursive importance sketching for rank constrained least squares: Algorithms and highorder convergence 
2020  Wang, Jinyi, and Vivak Patel  ReducedMemory Kalman Based Stochastic Gradient Descent 
2020  Yilin Zhang, Karl Rohe, Sebastien Roch  Reducing Seed Bias in RespondentDriven Sampling by Estimating Block Transition Probabilities 
2020  Krishna Pillutla, Sham M. Kakade Zaid Harchaoui  Robust Aggregation for Federated Learning 
2020  Johnston, Liam, and Vivak Patel  SecondOrder Sensitivity Methods for Robustly Training Recurrent Neural Network Models 
2020  Yingyu Liang, Zhao Song, Mengdi Wang, Lin Yang, Xin Yang  Sketching Transformed Matrices with Applications to Natural Language Processing 
2020  Jan van den Brand, Yin Tat Lee, Aaron Sidford, Zhao Song  Solving tall dense linear programs in nearly linear time 
2020  Cai, T. T., Zhang, A., and Zhou, Y.  Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference 
2020  Max Hill, Brandon Legried and Sebastien Roch  Species tree estimation under joint modeling of coalescence and duplication: sample complexity of quartet methods 
2020  Louis Fan and Sebastien Roch  Statistically consistent and computationally efficient inference of ancestral DNA sequences in the TKF91 model under dense taxon sampling 
2020  Aditi Laddha, Yin Tat Lee, Santosh S. Vempala  Strong selfconcordance and sampling 
2020  Ke Chen, Qin Li, Kit Newton, Steve Wright  Structured random sketching for PDE inverse problems 
2020  Luo, Y. and Zhang, A. R.  Tensor clustering with planted structures: Statistical optimality and computational limits 
2020  Chanwoo Lee and Miaoyan Wang  Tensor denoising and completion based on ordinal observations 
2020  Parhi, Rahul, and Robert D. Nowak  The role of neural network activation functions 
2020  Julian KatzSamuels, Lalit Jain, Zohar Karnin, Kevin Jamieson  An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits 
2020  Blake Mason, Lalit Jain, Ardhendu Tripathy, Robert Nowak  Finding All {\epsilon}Good Arms in Stochastic Bandits 
2020  Yinglun Zhu, Sumeet Katariya, and Robert Nowak  Robust Outlier Arm Identification 
2020  Yinglun Zhu, and Robert Nowak  On Regret with Multiple Best Arms 
2021  Minyi Dai, Mehmet F. Demirel, Yingyu Liang, JiaMian Hu  Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials 
2021  C. Jones, S. Clayton, F. Ribalet, E. V. Armbrust, Z. Harchaoui  A KernelBased Change Detection Method to Map Shifts in Phytoplankton Communities Measured by Flow Cytometry 
2021  O'Neill, M. and Wright, S. J.  A logbarrier NewtonCG method for bound constrained optimization with complexity guarantees 
2021  Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright  A lowrank Schwarz method for radiative transfer equation with heterogeneous scattering coefficient 
2021  Luo, Y., Raskutti, G., Yuan, M., and Zhang, A. R.  A sharp blockwise tensor perturbation bound for orthogonal iteration 
2021  Meyer Scetbon, Zaid Harchaoui  A Spectral Analysis of Dotproduct Kernels 
2021  Yassine Laguel, Krishna Pillutla, Jérôme Malick, Zaid Harchaoui  A Superquantile Approach to Federated Learning with Heterogeneous Devices 
2021  D. Davis, D. Drusvyatskiy  Active strict saddles in nonsmooth optimization 
2021  Vivak Patel, Mohammad Jahangoshahi, and Daniel Adrian Maldonado  An Implicit Representation and Iterative Solution of Randomly Sketched Linear Systems 
2021  Chanwoo Lee, Miaoyan Wang  Beyond the Signs: Nonparametric Tensor Completion via Sign Series 
2021  Vivak Patel, Mohammad Jahangoshahi, and Daniel Adrian Maldonado  Convergence of Adaptive, Randomized, Iterative Linear Solvers 
2021  Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh  FairBatch: Batch Selection for Model Fairness 
2021  Samuel Ainsworth, Kendall Lowrey, John Thickstun, Zaid Harchaoui, Siddhartha Srinivasa  Faster Policy Learning with ContinuousTime Gradients 
2021  D. Davis, D. Drusvyatskiy, L. Xiao, J. Zhang  From low probability to high confidence in stochastic optimization 
2021  A. Stevens, R. Willett, A. Mamalakis, E. FoufoulaGeorgiou, A. Tejedor, J. T. Randerson, P. Smyth, and S. Wright  Graphguided regularized regression of pacific ocean climate variables to increase predictive skill of southwestern US winter precipitation 
2021  Romain Camilleri, Julian KatzSamuels, Kevin Jamieson  HighDimensional Experimental Design and Kernel Bandits 
2021  Julian KatzSamuels, Jifan Zhang, Lalit Jain, Kevin Jamieson  Improved Algorithms for Agnostic Poolbased Active Classification 
2021  Yifang Chen, Simon S. Du, Kevin Jamieson  Improved Corruption Robust Algorithms for Episodic Reinforcement Learning 
2021  Kumar, P., Rawlings, J.B., and Wright, S.J.  Industrial, largescale model predictive control with structured neural networks 
2021  Ethan K. Gordon, Sumegh Roychowdhury, Tapomayukh Bhattacharjee, Kevin Jamieson, Siddhartha S. Srinivasa  Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in RobotAssisted Feeding 
2021  V. Charisopoulos, Y. Chen, D. Davis, M. Diaz, L. Ding, D. Drusvyatskiy  Lowrank matrix recovery with composite optimization: good conditioning and rapid convergence 
2021  Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaid Harchaoui  MAUVE: HumanMachine Divergence Curves for Evaluating OpenEnded Text Generation 
2021  D. Gilton, G. Ongie, and R. Willett  Model adaptation for inverse problems in imaging 
2021  Chanwoo Lee, Lexin Li, Hao Helen Zhang, and Miaoyan Wang  Nonparametric Trace Regression in High Dimensions via Sign Series Representation 
2021  Ding, Z., Li, Q., Lu, J., and Wright, S.J.  Random coordinate Langevin Monte Carlo 
2021  Ding, Z., Li, Q., Lu, J., and Wright, S. J.  Random coordinate underdamped Langevin Monte Carlo 
2021  Chen, K., Li, Q., Lu, J., and Wright, S.J.  Random sampling and efficient algorithms for multiscale PDEs 
2021  Ke Chen, Qin Li, Jianfeng Lu, Steve Wright  Randomized sampling for basis functions construction in generalized finite element methods 
2021  Lang Liu, Joseph Salmon, Zaid Harchaoui  Scorebased Change Detection for Gradientbased Learning Machines 
2021  Daren Wang, Kevin Lin, and Rebecca Willett  Statistically and computationally efficient change point localization in regression settings 
2021  Patel, Vivak and Shushu Zhang  Stochastic Gradient Descent on Nonconvex Functions with General Noise Models 
2021  D.Drusvyatskiy, L. Xiao  Stochastic optimization with decisiondependent distributions 
2021  Jiaxin Hu, Chanwoo Lee, and Miaoyan Wang  Generalized Tensor Decomposition with features on multiple modes 
2021  Andrew Wagenmaker, Max Simchowitz, Kevin Jamieson  TaskOptimal Exploration in Linear Dynamical Systems 
2021  G. Ongie, D. PimentelAlarcon, L. Balzano, R. Nowak, and R. Willett  Tensor methods for nonlinear matrix completion 
2021  Curtis, F. E., Robinson, D. P., Royer, C. W., and Wright, S. J.  Trustregion NewtonCG with strong second order complexity guarantees for nonconvex optimization 
2021  Böhm, A. and Wright, S.J.  Variable smoothing for weakly convex composite functions 
2021  Song, C., Wright, S.J. and Diakonikolas, J.  Variance reduction via primadual accelerated dual averaging for nonsmooth convex finite sums 
2021  Andrew Wagenmaker, Julian KatzSamuels, Kevin Jamieson  Experimental Design for Regret Minimization in Linear Bandits 
2021  Jifan Zhang, Kevin Jamieson  Learning to Actively Learn: A Robust Approach 
2021  Davis Gilton, Gregory Ongie, Rebecca Willett  Deep Equilibrium Architectures for Inverse Problems in Imaging 
2021  Hyebin Song, Garvesh Raskutti, Rebecca Willett  Prediction in the presence of responsedependent missing labels 
2021  Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian Foster  Datadriven Cloud Clustering via a Rotationally Invariant Autoencoder 
2021  Changhun Jo, Kangwook Lee  DiscreteValued Latent Preference Matrix Estimation with Graph Side Information 
2021  Blake Mason, Ardhendu Tripathy, Robert Nowak  Nearest Neighbor Search Under Uncertainty 
2021  Kwangsung Jun, Lalit Jain, Blake Mason, Housam Nassif  Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits 
2021  Chanwoo Lee, Miaoyan Wang  Smooth tensor estimation with unknown permutations 
2021  Jasper C.H. Lee, Paul Valiant  Optimal SubGaussian Mean Estimation in R 
2021  Nan Chen and Yingda Li  BAMCAFE: A Bayesian machine learning advanced forecast ensemble method for complex turbulent systems with partial observations 
2021  Suman K. Bera and Noujan Pashanasangi and C. Seshadhri  NearLinear Time Homomorphism Counting in Bounded Degeneracy Graphs: The Barrier of Long Induced Cycles 
2021  Noujan Pashanasangi and C. Seshadhri  Faster and Generalized Temporal Triangle Counting, via Degeneracy Ordering 
2021  Akash Kumar and C. Seshadhri and Andrew Stolman  Random walks and forbidden minors III: $\text{poly}\left(d\varepsilon ^{1}\right)$time partition oracles for minorfree graph classes 
2021  L. Einkemmer, Z. Ding and Qin Li  Dynamical LowRank Integrator for the Linear Boltzmann Equation: Error Analysis in the Diffusion Limit 
2021  Z. Ding and Qin Li  Langevin Monte Carlo: random coordinate descent and variance reduction 
2021  Reilly Raab and Yang Liu  Unintended Selection: Persistent Qualification Rate Disparities and Interventions 
2021  Yang Liu and Jialu Wang  Can Less be More? When IncreasingtoBalancing Label Noise Rates Considered Beneficial 
2021  Jialu Wang, Yang Liu, Xin Eric Wang  Are GenderNeutral Queries Really GenderNeutral?
Mitigating Gender Bias in Image Search 
2021  Sally Dong, Yin Tat Lee, Guanghao Ye  A nearlylinear time algorithm for linear programs with small treewidth: a multiscale representation of robust central path. 
2021  He Jia, Aditi Laddha, Yin Tat Lee, Santosh S. Vempala  Reducing isotropy and volume to KLS: an o*(n3ψ2) volume algorithm. 
2021  Jan van den Brand, Yin Tat Lee, Yang P. Liu, Thatchaphol Saranurak, Aaron Sidford, Zhao Song, Di Wang  Minimum cost flows, MDPs, and ℓ1regression in nearly linear time for dense instances. 
2021  Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat  Fast and Memory Efficient Differentially PrivateSGD via JL Projections 
2021  Yin Tat Lee, Ruoqi Shen, Kevin Tian  Lower Bounds on Metropolized Sampling Methods for WellConditioned Distributions. 
2021  Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz  Numerical Composition of Differential Privacy. 
2021  Janardhan Kulkarni, Yin Tat Lee, Daogao Liu  Private Nonsmooth ERM and SCO in Subquadratic Steps. 
2021  Yin Tat Lee, Ruoqi Shen, Kevin Tian  Structured Logconcave Sampling with a Restricted Gaussian Oracle. 
2021  Julian KatzSamuels, Blake Mason, Kevin Jamieson, Rob Nowak  Practical, ProvablyCorrect Interactive Learning in the Realizable Setting: The Power of True Believers 
2021  Nicolas Garcia Trillos, Pengfei He, and Chenghui Li  Large sample spectral analysis of graphbased multimanifold clustering 
2021  Camilo Garcia Trillos, Nicolas Garcia Trillos  On the regularized risk of distributionally robust learning over deep neural networks 
2021  Leon Bungert, Nicolas Garcia Trillos, Ryan Murray  The Geometry of Adversarial Training in Binary Classification 
2021  Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaid Harchaoui  Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals 
2021  Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaid Harchaoui  MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers 
2021  Joshua Cutler, Dmitriy Drusvyatskiy, Zaid Harchaoui  Stochastic optimization under time drift: iterate averaging, stepdecay schedules, and high probability guarantees 
2021  Lang Liu, Soumik Pal, Zaid Harchaoui  Entropy Regularized Optimal Transport Independence Criterion 
2021  Fan Chen, Sebastien Roch, Karl Rohe, and Shuqi Yu  Estimating graph dimension with crossvalidated eigenvalues 
2021  Varun Embar, Sriram Srinivasan, and Lise Getoor  A Comparison of Statistical Relational Learning and Graph Neural Networks for Aggregate Graph Queries 
2021  Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, and Lise Getoor  A Taxonomy of Weight Learning Methods for Statistical Relational Learning 
2021  arun Embar, Andrey Kan, Bunyamin Sisman, Christos Faloutsos, and Lise Getoor  DiffXtract: Joint Discriminative Product AttributeValue Extraction 
2021  Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, and Robert Nowak  Pure Exploration in Kernel and Neural Bandits 
2021  Parhi, Rahul, and Robert D. Nowak  Banach Space Representer Theorems for Neural Networks and Ridge Splines 
2021  Ran Dai, Hyebin Song, Rina Foygel Barber, Garvesh Raskutti  Convergence guarantee for the sparse monotone single index model 
2021  Byol Kim and Rina Foygel Barber  Black box tests for algorithmic stability 
2021  Yonghoon Lee and Rina Foygel Barber  Distributionfree inference for regression: discrete, continuous, and in between 
2021  Yonghoon Lee and Rina Foygel Barber  Binary classification with corrupted labels 
2021  Julia Lindberg, Carlos Améndola, Jose Israel Rodriguez  Estimating Gaussian mixtures using sparse polynomial moment systems 
2021  Julia Lindberg, Nathan Nicholson, Jose Israel Rodriguez, Zinan Wang  Maximum likelihood degrees of sparse polynomial systems 
2021  Laurentiu G. Maxim, Jose Israel Rodriguez, Botong Wang  Euclidean distance degree of projective varieties 
2021  Yue Sun, Adhyyan Narang, Ibrahim Gulluk, Samet Oymak, Maryam Fazel  Towards sampleefficient overparameterized metalearning 
2021  Yue Sun, Maryam Fazel  Learning optimal controllers by policy gradient: Global optimality via convex parameterization 
2022  HoNguyen, N. and Wright, S. J.  Adversarial classification via distributional robustness with Wasserstein ambiguity 
2022  Gautam Dasarathy, Elchanan Mossel, Robert Nowak and Sebastien Roch  A stochastic Farris transform for genetic data under the multispecies coalescent with applications to data requirements 
2022  Nan Chen,Yingda Li and Honghu Liu  Conditional Gaussian nonlinear system: A fast preconditioner and a cheap surrogate model for complex nonlinear systems 
2022  Jeffrey Covington, Nan Chen, and Monica M Wilhelmus  Bridging Gaps in the Climate Observation Network: A Physicsbased Nonlinear Dynamical Interpolation of Lagrangian Ice Floe Measurements via DataDriven Stochastic Models 
2022  Sabyasachi Basu and Akash Kumar and C. Seshadhri  The complexity of testing all properties of planar graphs, and the role of isomorphism 
2022  Balaram Behera and Edin Husic and Shweta Jain and Tim Roughgarden and C. Seshadhri  {FPT} Algorithms for Finding NearCliques in cClosed Graphs 
2022  Andrew Stolman, Caleb Levy, C. Seshadhri, and Aneesh Sharma  Classic Graph Structural Features Outperform FactorizationBased Graph Embedding Methods on Community Labeling 
2022  Z. DIng, S. Chen, Qin Li, and S.J. Wright  Overparameterization of Deep ResNet: Zero Loss and Meanfield Analysis 
2022  Ahmet Alacaoglu, Volkan Cevher, Stephen J Wright  On the Complexity of a Practical PrimalDual Coordinate Method 
2022  K Chen, S Chen, Qin Li, J Lu, SJ Wright  Lowrank approximation for multiscale PDEs 
2022  S Chen, Z Ding, Qin Li, SJ Wright  A reduced order Schwarz method for nonlinear multiscale elliptic equations based on twolayer neural networks 
2022  C Song, CY Lin, SJ Wright, J Diakonikolas  Coordinate Linear Variance Reduction for Generalized Linear Programming 
2022  Z Yao, P Xu, F Roosta, SJ Wright, MW Mahoney  Inexact NewtonCG Algorithms With Complexity Guarantees 
2022  Y Xie, SJ Wright  Complexity of projected Newton methods for boundconstrained optimization 
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2022  Jimmy Wu, Yatong Chen and Yang Liu  MetricFair Classifier Derandomization 
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2022  Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha  Towards Evaluating the Robustness of Neural Networks Learned by Transduction 
2022  Zhenmei Shi, Jenny Wei, Yingyu Liang  A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features 
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2022  Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jyyong Sohn, Dimitris Papailiopoulos, Kangwook Lee  LIFT: LanguageInterfaced FineTuning for NonLanguage Machine Learning Tasks 
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2022  Ahmet Alacaoglu, Hanbaek Lyu  Convergence of FirstOrder Methods for Constrained Nonconvex Optimization with Dependent Data 
2022  Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zaid Harchaoui  Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates 
2022  Hanbaek Lyu, Christopher Strohmeier, Deanna Needell  Online nonnegative tensor factorization and CPDictionary Learning for Markovian data 
2022  Joowon Lee, Hanbaek Lyu, and Weixin Yao  Interpretable Feature Extraction by Supervised Dictionary Learning for Identification of CancerAssociated Gene Clusters 
2022  Hardeep Bassi, Richard Yim, Rohith Kodukula, Joshua Vendrow, Cherlin Zhu, Hanbaek Lyu  Learning to predict synchronization of coupled oscillators on heterogeneous graphs 
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2022  Max Hill and Sebastien Roch  On the effect of intralocus recombination on tripletbased species tree estimation 
2022  Varun Embar, Sriram Srinivasan, and Lise Getoor  Learning Explainable Templated Graphical Models 
2022  Connor Pryor, Charles Andrew Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, and Lise Getoor  NeuPSL: Neural Probabilistic Soft Logic 
2022  Zhenlin Wang, Andrew Wagenmaker, Kevin Jamieson  Best Arm Identification with Safety Constraints 
2022  Andrew Wagenmaker, Max Simchowitz, Kevin Jamieson  Beyond No Regret: InstanceDependent PAC Reinforcement Learning 
2022  Yifang Chen, Simon S. Du, Kevin Jamieson  Active MultiTask Representation Learning 
2022  Andrew Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson  FirstOrder Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach 
2022  Jennifer Brennan, Lalit Jain, Sofia Garman, Ann E Donnelly, Kevin Jamieson, Erik Scott Wright  Sampleefficient identification of highdimensional antibiotic synergy with a normalized diagonal sampling design 
2022  Damek Davis, Dmitriy Drusvyatskiy, YinTat Lee, Swati Padmanabhan, Guanghao Ye  A gradient sampling algorithm with complexity guarantees for Lipschitz functions in high and low dimensions 
2022  Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff  Multiplayer performative prediction: learning in decision dependent games 
2022  Damek Davis, Dmitriy Drusvyatskiy, Liwei Jiang  Subgradient methods near active manifolds: saddle point avoidance, local convergence, and asymptotic normality 
2022  Yinglun Zhu, and Robert Nowak  Pareto Optimal Model Selection in Linear Bandits 
2022  Yi Ding, Avinash Rao, Hyebin Song, Rebecca Willett, and Henry Hoffman  NURD: NegativeUnlabeled Learning for Online Datacenter Straggler Prediction. 
2022  Greg Ongie and Rebecca Willett  The Role of Linear Layers in Nonlinear Interpolating Networks 
2022  Ruoxi Jiang and Rebecca Willett  Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification 
2022  Yue Gao, Abby Stevens, Garvesh Raskutti, Rebecca Willett  azy Estimation of Variable Importance for Large Neural Networks 
2022  Daren Wang, Yi Yu, Rebecca Willett  Detecting abrupt changes in highdimensional selfexciting Poisson processes 
2022  Yuming Chen, Daniel SanzAlonso, and Rebecca Willett  Autodifferentiable Ensemble Kalman Filters 
2022  Punit Gandhi, Lily Liu, and Mary Silber  A PulsedPrecipitation Model of Dryland Vegetation Pattern Formation_x0003_ 
2022  Ni, Z., Prasad, A., Chen, S., Halberg, R.B., Arkin, L.M., Drolet, B.A., Newton, M.A. and Kendziorski, C.  SpotClean adjusts for spot swapping in spatial transcriptomics data 
2022  Yu, P., Ericksen, S., Gitter, A. and Newton, M.A.  Bayes optimal informer sets for early‐stage drug discovery 
2022  Ng, T.L. and Newton, M.A.  Random weighting in LASSO regression 
2022  Parhi, Rahul, and Robert D. Nowak  What kinds of functions do deep neural networks learn? Insights from variational spline theory 
2022  Parhi, Rahul, and Robert D. Nowak  Nearminimax optimal estimation with shallow ReLU neural networks 
2022  Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas  Robust Sparse Mean Estimation via Sum of Squares 
2022  Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan Tibshirani  Permutation tests using arbitrary permutation distributions. 
2022  Rina Foygel Barber, Mathias Drton, Nils Sturma, and Luca Weihs  Halftrek criterion for identifiability of latent variable models 
2022  Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan Tibshirani  Conformal prediction beyond exchangeability 
2022  Zhimei Ren and Rina Foygel Barber  Derandomized Knockoffs: Leveraging Evalues for False Discovery Rate Control 
2022  Michael Bian and Rina Foygel Barber  Trainingconditional coverage for distributionfree predictive inference. (Code. 
2022  Timothy Duff, Anton Leykin, Jose Israel Rodriguez  ugeneration: solving systems of polynomials equationbyequation 
2022  Laurentiu G. Maxim, Jose Israel Rodriguez, Botong Wang, Lei Wu  Logarithmic cotangent bundles, ChernMather classes, and the HuhSturmfels Involution conjecture 
2022  Emil Horobet, Jose Israel Rodriguez  Data loci in algebraic optimization 
2022  Laurentiu G. Maxim, Jose Israel Rodriguez, Botong Wang  A Morse theoretic approach to nonisolated singularities and applications to optimization 
2022  Adhyyan Narang, Omid Sadeghi, Lillian J Ratliff, Maryam Fazel, Jeff Bilmes  Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity 
2022  Mitas Ray, Lillian J Ratliff, Dmitriy Drusvyatskiy, Maryam Fazel  Decisiondependent risk minimization in geometrically decaying dynamic environments 
2022  Sarah Dean, Mihaela Curmei, Lillian J Ratliff, Jamie Morgenstern, Maryam Fazel  Multilearner risk reduction under endogenous participation dynamics 
2022  Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S Du  Learning in Congestion Games with Bandit Feedback 
2022  Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian Ratliff  Learning in Stochastic Monotone Games with DecisionDependent Data 
2022  Vincent Roulet, Siddhartha Srinivasa, Maryam Fazel, Zaid Harchaoui  Complexity Bounds of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control 
2022  Vincent Roulet, Siddhartha Srinivasa, Maryam Fazel, Zaid Harchaoui  Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates 
2022  Yang Zheng, Yue Sun, Maryam Fazel, Na Li  Escaping Highorder Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control 
2022  Yue Sun, Samet Oymak, Maryam Fazel  System Identification via Nuclear Norm Regularization 
2022  Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J Ratliff  Multiplayer performative prediction: Learning in decisiondependent games 
2022  Dohyun Kwon, Ying Fan, and Kangwook Lee
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2022  K. D. Levin and B. Betancourt  Fast Generation of Exchangeable Sequence of Clusters Data 
2022  Vivak Patel  Stopping criteria for, and strong convergence of, stochastic gradient descent on BottouCurtisNocedal functions 
2022  Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado  Block Adaptive Randomized Linear System Solvers 
2022  Vivak Patel, Shushu Zhang, Bowen Tian  Global Convergence and Stability of Stochastic Gradient Descent 
2022  Nathaniel Pritchard, Vivak Patel  Towards Practical Largescale Randomized Iterative Least Squares Solversthrough Uncertainty Quantification 
2022  Nathaniel Pritchard, Vivak Patel  Residual Tracking and Stopping for Iterative Random Sketching 
2022  Vivak Patel, Albert Berahas  Gradient descent in the absence of global Lipschitz continuity of the gradients 
2022  Andrew Wagenmaker, Kevin Jamieson  InstanceDependent NearOptimal Policy Identification in Linear MDPs via Online Experiment Design 
2022  Zhaoqi Li, Lillian Ratliff, Houssam Nassif, Kevin Jamieson, Lalit Jain  Instanceoptimal PAC Algorithms for Contextual Bandits 
2022  Yunyi Shen, Sameer Deshpande  On the posterior contraction of the multivariate spikeandslab LASSO 
2022  Yunyi Shen, Claudia SolisLemus, Sameer Deshpande  Sparse Gaussian chain graphs with the spikeandslab LASSO 
2022  Bo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu  BOME! Bilevel Optimization Made Easy: A Simple FirstOrder Approach 
2022  Alex Hayes, Mark Fredrickson, Keith Levin  Estimating networkmediated causal effects via spectral embeddings 
2022  Greg Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak  One for All: Simultaneous Metric and Preference Learning over Multiple Users 
2022  Ilias Diakonikolas, Daniel Kane, Jasper C.H. Lee and Ankit Pensia  OutlierRobust Sparse Mean Estimation for HeavyTailed Distributions 
2022  Ni, Z, Prasad, A, Chen, S, Halberg, RB, Arkin, L, Drolet, B, Newton, MA and Kendziorski,  SpotClean adjusts for spot swapping in spatial transcriptomics data 
2022  Luo, Y. and García Trillos, N.  Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixedrank Matrix Optimization From a Riemannian Perspective 
2022  Mehmet F Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang  Attentive WalkAggregating Graph Neural Networks 
2022  Liwei Jiang, Yudong Chen, and Lijun Ding  Algorithmic Regularization in Modelfree Overparametrized Asymmetric Matrix Factorization 
2022  Ahmet Alacaoglu, Yura Malitsky  Stochastic variance reduction for variational inequality methods 
2022  Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher  A natural actorcritic framework for zerosum Markov games

2022  Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher  On the Convergence of Stochastic PrimalDual Hybrid Gradient 
2022  Yinglun Zhu, Robert Nowak  Efficient Active Learning with Abstention 
2022  Yinglun Zhu, Robert Nowak  Active Learning with Neural Networks: Insights from Nonparametric Statistics 
2023  O'Neill, M. and Wright, S. J.  A Linesearch descent algorithm for strict saddle functions with complexity guarantees 
2023  Jingcheng Xu, Cécile Ané  Identifiability of local and global features of phylogenetic networks from average distances 
2023  Benjamin Teo, Jeffrey P. Rose, Paul Bastide, Cécile Ané  Accounting for withinspecies variation in continuous trait evolution on a phylogenetic network 
2023  Hanbaek Lyu  Convergence and complexity of block coordinate descent with diminishing radius for nonconvex optimization 
2023  Hanbaek Lyu  Stochastic regularized block majorizationminimization with weakly convex and multiconvex surrogates 
2023  Hanbaek Lyu, Yacoub Kureh, Joshua Vendrow, Mason A. Porter  Learning lowrank latent mesoscale structures in networks 
2023  Hanbaek Lyu, Facundo Memoli, and David Sivakoff  Sampling random graph homomorphisms and applications to network data analysis 
2023  Dohyun Kwon, Hanbaek Lyu  Complexity of block coordinate descent with proximal regularization and applications to Wasserstein CPdictionary learning 
2023  Sameer Deshpande  flexBART: Flexible Bayesian regression trees with categorical predictors 
2023  Rudy Geelen, Stephen Wright, and Karen Willcox  Operator inference for nonintrusive model reduction with quadratic manifolds 
2023  Matteo Croci, Karen Willcox, and Stephen Wright  Multioutput multilevel best linear unbiased estimators via semidefinite programming 
2023  Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, and Robert Nowak  A Fully firstorder method for stochastic bilevel optimization 
2023  Like Hui, Mikhail Belkin, and Stephen Wright  Cut your losses with squentropy 
2023  Xufeng Cai, Chaobing Song, Jelena Diakonikolas, and Stephen Wright  Cyclic block coordinate descent with variance reduction for composite nonconvex optimization 
2023  Changyu Gao and Stephen Wright  Differentially private optimization for smooth nonconvex ERM 
2023  John Fogg, Elizabeth S. Allman, Cécile Ané  PhyloCoalSimulations: A simulator for network multispecies coalescent models, including a new extension for the inheritance of gene flow 
2023  Lauren Frankel, Cécile Ané  Summary tests of introgression are highly sensitive to rate variation across lineages 
2023  Shivam Gupta, Jasper C.H. Lee and Eric Price  Highdimensional Location Estimation via Norm Concentration for Subgamma Vectors 
2023  Shivam Gupta, Jasper C.H. Lee and Eric Price  FiniteSample Symmetric Mean Estimation with Fisher Information Rate 
2023  Ilias Diakonikolas, Daniel Kane, Jasper C.H. Lee, Ankit Pensia and Thanasis Pittas  A Spectral Algorithm for ListDecodable Covariance Estimation in Relative Frobenius Norm 
2023  McCoy, S, Shelef, M, Zheng, Z, and Newton, MA  NOVEL AUTOANTIBODIES AND METHOD TO DETECT SJÖGREN'S DISEASE 
2023  García Trillos, C. and García Trillos, N.  On adversarial robustness and the use of Wasserstein ascentdescent dynamics to enforce it 
2023  García Trillos, N. and Jacobs, M. and Kim, J.  On the existence of solutions to adversarial training in multiclass classification 
2023  Carrillo, J.A. and García Trillos, N. and Li, S. and Zhu, Y.  FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensusbased Optimization 
2023  Hao Yan and Keith Levin  Minimax rates for latent position estimation in the generalized random dot product graph 
2023  Ajinkya Kokandakar, Hyunseung Kang, and Sameer Deshpande  Bayesian causal forests and the 2022 ACIC Data Challenge: Scalability and sensitivity. 
2023  Young Wu, Jeremy McMahan, Xiaojin Zhu, and Qiaomin Xie  Reward Poisoning Attacks on Offline MultiAgent Reinforcement Learning 
2023  Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha.  The Tradeoff between Universality and Label Efficiency of Representations from Contrastive Learning 
2023  Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha.  Stratified Adversarial Robustness with Rejection 
2023  Lijun Ding and Alex L. Wang  Sharpness and wellconditioning of nonsmooth convex formulations in statistical signal recovery 
2023  Ying Fan, Kangwook Lee  Optimizing DDPM Sampling with Shortcut FineTuning 
2023  Young Wu, Jeremy McMahan, Xiaojin Zhu, and Qiaomin Xie  On Faking a Nash Equilibrium 
2023  P Yu, Y Lian, C Zuleger, RJ Albertini, MR Albertini, & MA Newton  Surrogate selection oversamples expanded T cell clonotypes 
2023  Le, Phong V. V., James T. Randerson, Rebecca Willett, Stephen Wright, Padhraic Smyth, Clément Guilloteau, Antonios Mamalakis & Efi FoufoulaGeorgiou  Climatedriven changes in the predictability of seasonal precipitation 
2023  Suzanna Parkinson, Greg Ongie, Rebecca Willett  Linear Neural Network Layers Promote Learning Single and MultipleIndex Models 
2023  Raphael Rossellini, Rina Foygel Barber, Rebecca Willett  Integrating Uncertainty Awareness into Conformalized Quantile Regression 
2023  Yue Gao, Garvesh Raskutti, Rebecca Willett  Fast, Distributionfree Predictive Inference for Neural Networks with Coverage Guarantees. 
2023  Yonghoon Lee, Rina Foygel Barber, Rebecca Willett  Distributionfree inference with hierarchical data 
2023  Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett  Training neural operators to preserve invariant measures of chaotic attractors. 
2023  Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett  Deep Stochastic Mechanics 
2023  Jake A. Soloff, Rina Foygel Barber, Rebecca Willett  Bagging Provides Assumptionfree Stability 
2023  Yuming Chen, Daniel SanzAlonso, Rebecca Willett.  ReducedOrder Autodifferentiable Ensemble Kalman Filters 
2023  Elena Orlova, Haokun Liu, Raphael Rossellini, Benjamin Cash, Rebecca Willett  Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting 
2023  Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie  VISER: A Tractable Solution Concept for Games with Information Asymmetry 
2023  Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos  DistributionIndependent Regression for Generalized Linear Models with Oblivious Corruptions 
2023  Andrew Wagenmaker, Aldo Pacchiano  Leveraging Offline Data in Online Reinforcement Learning 
2023  Andrew Wagenmaker, Dylan Foster  Instance Optimality in Interactive Decision Making: Toward a NonAsymptotic Theory 
2023  Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaid Harchaoui  Influence Diagnostics under Selfconcordance 
2023  Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaid Harchaoui  Stochastic Optimization for Spectral Risk Measures 
2023  Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor  RewardMixing MDP with Few Latent Contexts are Learnable 
2023  C. Liu, D. Drusvyatskiy, M. Belkin, D. Davis, Y.A. Ma  Aiming towards the minimizers: fast convergence of SGD for overparametrized problems 
2023  Dmitriy Drusvyatskiy, Joshua Cutler, Mateo Diaz  Stochastic approximation with decisiondependent distributions: asymptotic normality and optimality 
2023  Arnab Maiti, Kevin Jamieson, Lillian J. Ratliff  Instancedependent Sample Complexity Bounds for Zerosum Matrix Games 
2023  Yiping Wang, Yifang Chen, Simon Du, Kevin Jamieson  Improved Active MultiTask Representation Learning via Lasso 
2023  Andrew Wagenmaker, Guanya Shi, Kevin Jamieson  Optimal Exploration for ModelBased RL in Nonlinear Systems 
2023  Arnab Maiti, Kevin Jamieson, Lillian J. Ratliff  Logarithmic Regret for Matrix Games against an Adversary with Noisy Bandit Feedback 
2023  Yu Gui, Rohan Hore, Zhimei Ren, and Rina Foygel Barber  Conformalized survival analysis with adaptive cutoffs. 
2023  YoungJoo Yun and Rina Foygel Barber  Selective inference for clustering with unknown variance 
2023  Yuetian Luo, Zhimei Ren, Rina Foygel Barber  Iterative Approximate CrossValidation 
2023  Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan Tibshirani  De Finetti’s Theorem and Related Results for Infinite Weighted Exchangeable Sequences. 
2023  Yu Gui, Rina Foygel Barber, and Cong Ma  Conformalized matrix completion. 
2023  Max Hill and Sebastien Roch  Inconsistency of tripletbased and quartetbased species tree estimation under intralocus recombination 
2023  Yasamin Tabatabaee, Sebastien Roch, and Tandy Warnow  Statistically consistent rooting of species trees under the multispecies coalescent model 
2023  Zhihan Xiong, Roqui Shen, Qiwen Cui, Maryam Fazel, Simon S. Du  NearOptimal Randomized Exploration for Tabular Markov Decision Processes 
2023  Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du  Offline congestion games: How feedback type affects data coverage requirement 
2023  Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li  On Controller Reduction in Linear Gaussian Control with Performance Bounds 
2023  Omid Sadeghi, Maryam Fazel  Fast FirstOrder Methods for Monotone Strongly DRSubmodular Maximization 
2023  Yuzhen Qin, Yingcong Li , Fabio Pasqualetti, Maryam Fazel, Samet Oymak  Stochastic Contextual Bandits with Long Horizon Rewards 
2023  Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Başar  Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies 
2023  Lijun Ding, Dmitriy Drusvyatskiy, Maryam Fazel, Zaid Harchaoui  Flat Minima Generalize for Lowrank Matrix Recovery 
2023  Omid Sadeghi, Maryam Fazel  Noregret Online Prediction with Strategic Experts 
2023  Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du  A Blackbox Approach for Nonstationary Multiagent Reinforcement Learning 
2023  Avinandan Bose, Mihaela Curmei, Daniel Jiang, Jamie Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel  PreferenceAware Initialization for Multilearner Systems: Algorithm and Analysis. 
2023  Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin Jamieson  A/B Testing and Bestarm Identification for Linear Bandits with Robustness to Nonstationarity 
2023  Bernstein MN, Ni Z, Prasad A, Brown J, Mohanty C, Stewart R, Newton MA, Kendziorski C.  SpatialCorr identifies gene sets with spatially varying correlation structure. 
2023  Ahmet Alacaoglu, Axel Böhm, Yura Malitsky  Beyond the golden ratio for variational inequality algorithms 
2023  Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert Nowak
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2023  Jifan Zhang, Shuai Shao, Saurabh Verma, Robert Nowak
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2023  Shyam Nuggehalli, Jifan Zhang, Lalit Jain, Robert Nowak
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2023  Liu Yang, Kangwook Lee, Robert Nowak, Dimitris Papailiopoulos
 Looped Transformers are Better at Learning Learning Algorithms

2023  Bernardino RomeraParedes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M Pawan Kumar, Emilien Dupont, Francisco JR Ruiz, Jordan S Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, Alhussein Fawzi  Mathematical discoveries from program search with large language models 
2023  Rahul Parhi, Robert D Nowak  Deep learning meets sparse regularization: A signal processing perspective

2023  Jeongyeol Kwon, Dohyun Kwon, Steve Wright, Robert Nowak
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2023  Ronald DeVore, Robert D Nowak, Rahul Parhi, Jonathan W Siegel
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2023  Joseph Shenouda, Rahul Parhi, Robert D. Nowak  A Continuous Transform for Localized Ridgelets

2023  Danica Fliss, Willem Marais, Robert D Nowak
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2023  Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D Nowak, Yixuan Li
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2024  Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert D. Nowak  VectorValued Variation Spaces and Widths Bounds for DNNs: Insights on Weight Decay Regularization 
2024  Cécile Ané, John Fogg, Elizabeth S. Allman, Hector Baños, John A. Rhodes  Anomalous networks under the multispecies coalescent: theory and prevalence 
2024  John A. Rhodes, Hector Baños, Jingcheng Xu, Cécile Ané  Identifying circular orders for blobs in phylogenetic networks 
2024  Benjamin Teo, Paul Bastide, Cécile Ané  Leveraging graphical model techniques to study evolution on phylogenetic networks 
2024  Michael Maxfield, Jingcheng Xu, Cécile Ané  A dissimilarity measure for semidirected networks 
2024  Joseph Shenouda, Yamin Zhou, Robert Nowak  ReLUs are Sufficient for Learning Implicit Neural Representations 
2024  Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D Nowak  Labelbench: A comprehensive framework for benchmarking adaptive labelefficient learning 
2024  Subhojyoti Mukherjee, Qiaomin Xie, Josiah P Hanna, Robert Nowak
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2024  Jeongyeol Kwon, Liu Yang, Robert Nowak, Josiah Hanna
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2024  Nasim Soltani, Jifan Zhang, Batool Salehi, Debashri Roy, Robert Nowak, Kaushik Chowdhury
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2024  Gantavya Bhatt, Yifang Chen, Arnav M Das, Jifan Zhang, Sang T Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey Bilmes, Simon S Du, Kevin Jamieson, Jordan T Ash, Robert D Nowak  An experimental design framework for labelefficient supervised finetuning of large language models 
2024  Ziqian Lin and Kangwook Lee  Dual Operating Modes of InContext Learning 
2024  Jyyong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee  Memorization Capacity for Additive FineTuning 
2024  Yuchen Zeng and Kangwook Lee  The Expressive Power of LowRank Adaptation 
2024  Peizhe Li, Jimmy Vineyard, Seungyeon Oh, Jack Maloney, Amy L. Cochran, and Haley Colgate Kottler  Integrating Local Learning into the TwoStage Markov Task to Separate ModelBased from ModelFree Learning 