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  Error analysis of an asymptotic preserving dynamical lowrank integrator for the multiscale radiative transfer equation 
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  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  Alacaoglu, A., Cevher, V., and Wright, S. J.  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 
2022  Subhojyoti Mukherjee, Ardhendu Tripathy, Robert Nowak  Chernoff Sampling for Active Testing and Extension to Active Regression 
2022  Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert Nowak, Lalit Jain  Nearly Optimal Algorithms for Level Set Estimation 
2022  Subhojyoti Mukherjee  Safety Aware Changepoint Detection for Piecewise iid Bandits 
2022  Subhojyoti Mukherjee, Josiah P Hanna, Robert Nowak  ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling 
2022  Benjamin Teo, Jeffrey P. Rose, Paul Bastide, Cécile Ané  Accounting for withinspecies variation in continuous trait evolution on a phylogenetic network 
2022  T. Bui, Qin Li and L. ZepedaNunez  Bridging and Improving Theoretical and Computational Electrical Impedance Tomography via Data Completion 
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