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 Change-point Algorithm via Model Selection |
2019 | Alexander Greaves-Tunnell, Zaid Harchaoui | A Statistical Investigation of Long Memory in Language and Music |
2019 | Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, and Cho-Jui Hsieh | A unified framework for data poisoning attack to graph-based semi-supervised 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 Quasi-Newton 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 Differentially-Private Learners: Attacks and Defenses |
2019 | S Rajput, H Wang, Z Charles, D Papailiopoulos | DETOX: A Redundancy-based 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 Gram-based 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 | High-dimensional Change-point Detection under Sparse Alternatives |
2019 | Vincent Roulet, Siddhartha Srinivasa, Dmitriy Drusvyatskiy, Zaid Harchaoui | Iterative Linearized Control: Stable Algorithms and Complexity Guarantees |
2019 | Zeyuan Allen-Zhu, 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 low-rank optimization |
2019 | Shengchao Liu, Mehmet Furkan Demirel, Yingyu Liang | N-Gram 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 C-p, 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 | Preference-based 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 p-Norm? |
2019 | Sanjoy Dasgupta, Daniel Hsu, Stefanos Poulis, Xiaojin Zhu | Teaching a black-box 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 Schatten-q 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 Chiu-wai Wong | An improved cutting plane method for convex optimization, convex-concave 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 respondent-driven sampling |
2020 | Zaid Harchaoui, Lang Liu, Soumik Pal | Asymptotics of Entropy-Regularized 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 Nearly-linear 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 | Context-dependent self-exciting 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 high-dimensional self-exciting 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 | End-to-End Learning for Retrospective Change-Point Estimation |
2020 | Zhiyan Ding, Lukas Einkemme and Qin Li | Error analysis of an asymptotic preserving dynamical low-rank integrator for the multi-scale 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 ε-Good Arms in Stochastic Bandits |
2020 | Yassine Laguel, Jerome Malick, Zaid Harchaoui | First-order Optimization for Superquantile-based 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 | Graph-based regularization for regression problems with alignment and highly-correlated designs |
2020 | Meyer Scetbon, Zaid Harchaoui | Harmonic Decompositions of Convolutional Networks |
2020 | Wai-Tong Louis Fan, Brandon Legried & Sebastien Roch | Impossibility of Consistent Distance Estimation from Sequence Lengths Under the TKF91 Model. |
2020 | Wai-Tong Louis Fan, Brandon Legried and Sebastien Roch | Impossibility of phylogeny reconstruction from k-mer counts |
2020 | Lee, C.-p. and Wright, S. J. | Inexact variable metric stochastic block-coordinate descent for regularized optimization |
2020 | Xia, D., Zhang, A. R., and Zhou, Y. | Inference for low-rank tensors–no need to debias |
2020 | Anru Zhang, Yuetian Luo, Garvesh Raskutti, and Ming Yuan | ISLET: Fast and optimal low-rank tensor regression via importance sketching |
2020 | Hui Yuan, Yingyu Liang | Learning Entangled Single-Sample 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 high-dimensional 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 two-layers 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 non-asymptotic concentration of heteroskedastic Wishart-type random matrix |
2020 | Luo, Y. and Zhang, A. R. | Open Problem: Average-Case 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 Over-Parameterization is Sufficient |
2020 | Zhou, Y., Zhang, A. R., Zheng, L., and Wang, Y. | Optimal Ultrahigh-order tensor SVD via tensor-train orthogonal iteration |
2020 | Ru-Yu 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 | Polynomial-Time 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 width-independent |
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 high-order convergence |
2020 | Wang, Jinyi, and Vivak Patel | Reduced-Memory Kalman Based Stochastic Gradient Descent |
2020 | Yilin Zhang, Karl Rohe, Sebastien Roch | Reducing Seed Bias in Respondent-Driven 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 | Second-Order 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 self-concordance 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 Katz-Samuels, 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, Jia-Mian 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 Kernel-Based Change Detection Method to Map Shifts in Phytoplankton Communities Measured by Flow Cytometry |
2021 | O'Neill, M. and Wright, S. J. | A log-barrier Newton-CG method for bound constrained optimization with complexity guarantees |
2021 | Ke Chen, Qin Li, Jianfeng Lu, Stephen J. Wright | A low-rank 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 Dot-product 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 Continuous-Time 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. Foufoula-Georgiou, A. Tejedor, J. T. Randerson, P. Smyth, and S. Wright | Graph-guided regularized regression of pacific ocean climate variables to increase predictive skill of southwestern US winter precipitation |
2021 | Romain Camilleri, Julian Katz-Samuels, Kevin Jamieson | High-Dimensional Experimental Design and Kernel Bandits |
2021 | Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson | Improved Algorithms for Agnostic Pool-based 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, large-scale 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 Robot-Assisted Feeding |
2021 | V. Charisopoulos, Y. Chen, D. Davis, M. Diaz, L. Ding, D. Drusvyatskiy | Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence |
2021 | Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaid Harchaoui | MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended 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 | Score-based Change Detection for Gradient-based 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 decision-dependent distributions |
2021 | Jiaxin Hu, Chanwoo Lee, and Miaoyan Wang | Generalized Tensor Decomposition with features on multiple modes |
2021 | Andrew Wagenmaker, Max Simchowitz, Kevin Jamieson | Task-Optimal Exploration in Linear Dynamical Systems |
2021 | G. Ongie, D. Pimentel-Alarcon, 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. | Trust-region Newton-CG 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 prima-dual accelerated dual averaging for nonsmooth convex finite sums |
2021 | Andrew Wagenmaker, Julian Katz-Samuels, 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 response-dependent missing labels |
2021 | Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian Foster | Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder |
2021 | Changhun Jo, Kangwook Lee | Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information |
2021 | Blake Mason, Ardhendu Tripathy, Robert Nowak | Nearest Neighbor Search Under Uncertainty |
2021 | Kwang-sung 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 Sub-Gaussian 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 | Near-Linear 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 minor-free graph classes |
2021 | L. Einkemmer, Z. Ding and Qin Li | Dynamical Low-Rank 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 Increasing-to-Balancing Label Noise Rates Considered Beneficial |
2021 | Jialu Wang, Yang Liu, Xin Eric Wang | Are Gender-Neutral Queries Really Gender-Neutral?
Mitigating Gender Bias in Image Search |
2021 | Sally Dong, Yin Tat Lee, Guanghao Ye | A nearly-linear 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 ℓ1-regression 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 Private-SGD via JL Projections |
2021 | Yin Tat Lee, Ruoqi Shen, Kevin Tian | Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions. |
2021 | Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz | Numerical Composition of Differential Privacy. |
2021 | Janardhan Kulkarni, Yin Tat Lee, Daogao Liu | Private Non-smooth ERM and SCO in Subquadratic Steps. |
2021 | Yin Tat Lee, Ruoqi Shen, Kevin Tian | Structured Logconcave Sampling with a Restricted Gaussian Oracle. |
2021 | Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Rob Nowak | Practical, Provably-Correct 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 graph-based multi-manifold 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 cross-validated 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 Attribute-Value 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 | Distribution-free 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 sample-efficient overparameterized meta-learning |
2021 | Yue Sun, Maryam Fazel | Learning optimal controllers by policy gradient: Global optimality via convex parameterization |
2022 | Ho-Nguyen, 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 Physics-based Nonlinear Dynamical Interpolation of Lagrangian Ice Floe Measurements via Data-Driven 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 Near-Cliques in c-Closed Graphs |
2022 | Andrew Stolman, Caleb Levy, C. Seshadhri, and Aneesh Sharma | Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community Labeling |
2022 | Z. DIng, S. Chen, Qin Li, and S.J. Wright | Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis |
2022 | Alacaoglu, A., Cevher, V., and Wright, S. J. | On the Complexity of a Practical Primal-Dual Coordinate Method |
2022 | K Chen, S Chen, Qin Li, J Lu, SJ Wright | Low-rank 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 two-layer 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 Newton-CG Algorithms With Complexity Guarantees |
2022 | Y Xie, SJ Wright | Complexity of projected Newton methods for bound-constrained optimization |
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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 within-species variation in continuous trait evolution on a phylogenetic network |
2022 | T. Bui, Qin Li and L. Zepeda-Nunez | Bridging and Improving Theoretical and Computational Electrical Impedance Tomography via Data Completion |
2022 | Jasper C.H. Lee, Paul Valiant | Optimal Sub-Gaussian Mean Estimation in Very High Dimensions |
2022 | Shivam Gupta, Jasper C.H. Lee, Eric Price, Paul Valiant | Finite-Sample Maximum Likelihood Estimation of Location |
2022 | Jialu Wang, Yang Liu, Xin Eric Wang | Assessing Multilingual Fairness in Pre-trained Multimodal Representations |
2022 | Jan van den Brand, Yu Gao, Arun Jambulapati, Yin Tat Lee, Yang P. Liu, Richard Peng, Aaron Sidford | Faster maxflow via improved dynamic spectral vertex sparsifiers. |
2022 | Maryam Fazel, Yin Tat Lee, Swati Padmanabhan, Aaron Sidford | Computing Lewis Weights to High Precision. |
2022 | Sally Dong, Yu Gao, Gramoz Goranci, Yin Tat Lee, Richard Peng, Sushant Sachdeva, Guanghao Ye | Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time. |
2022 | Julian Katz-Samuels, Julia Nakhleh, Robert Nowak, Yixuan Li | Training OOD Detectors in their Natural Habitats |
2022 | Jifan Zhang, Julian Katz-Samuels, Robert Nowak | GALAXY: Graph-based Active Learning at the Extreme |
2022 | Yinglun Zhu, Julian Katz-Samuels, Robert Nowak | Near Instance Optimal Model Selection for Pure Exploration Linear Bandits |
2022 | Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz | Similarity Search for Efficient Active Learning and Search of Rare Concepts |
2022 | Xufeng Cai, Chaobing Song, Cristobal Guzman, Jelena Diakonikolas | A Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusion Problems, |
2022 | Jimmy Wu, Yatong Chen and Yang Liu | Metric-Fair Classifier Derandomization |
2022 | Jialu Wang, Eric Xin Wang and Yang Liu | Understanding Instance-Level Impact of Fairness Constraints |
2022 | Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, and Tongliang Liu | Estimating Instance-dependent Label-noise Transition Matrix using a Deep Neural Network |
2022 | Brett Sargent, Mohammad Jafari, Giovanny Marquez, Abijeet Singh Mehta, Yao-Hui Sun, Hsin-ya Yang, Kan Zhu, Roslyn Rivkah Isseroff, Min Zhao, and Marcella Gomez | A machine learning based model accurately predicts cellular response to electric fields in multiple cell types |
2022 | Nicolas Garcia Trillos, Matt Jacobs, and Jakwang Kim | The multimarginal optimal transport formulation of adversarial multiclass classification |
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 |
2022 | Yuchen Zeng, Hongxu Chen, Kangwook Lee | Improving Fairness via Federated Learning |
2022 | Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee | LIFT: Language-Interfaced FineTuning for Non-Language Machine Learning Tasks |
2022 | Changhun Jo, Jy-yong Sohn, Kangwook Lee | Breaking Fair Binary Classification with Optimal Flipping Attacks |
2022 | Alacaoglu, A., Lyu, H. | Convergence and Complexity of Stochastic Subgradient Methods with Dependent Data for Nonconvex Optimization |
2022 | Brandon Legried, Erin K. Molloy, Tandy Warnow, and S ebastien Roch | Polynomial-time statistical estimation of species trees under gene duplication and loss |
2022 | Max Hill and Sebastien Roch | On the effect of intralocus recombination on triplet-based 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: Instance-Dependent PAC Reinforcement Learning |
2022 | Yifang Chen, Simon S. Du, Kevin Jamieson | Active Multi-Task Representation Learning |
2022 | Andrew Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson | First-Order 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 | Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design |
2022 | Lijun Ding, Dmitriy Drusvyatskiy, Maryam Fazel | Flat minima generalize for low-rank matrix recovery |
2022 | Damek Davis, Dmitriy Drusvyatskiy, Yin-Tat 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: Negative-Unlabeled 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 high-dimensional self-exciting Poisson processes |
2022 | Yuming Chen, Daniel Sanz-Alonso, and Rebecca Willett | Autodifferentiable Ensemble Kalman Filters |
2022 | Punit Gandhi, Lily Liu, and Mary Silber | A Pulsed-Precipitation Model of Dryland Vegetation Pattern Formation |
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 | Near-minimax 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 | Generalized permutation tests |
2022 | Rina Foygel Barber, Mathias Drton, Nils Sturma, and Luca Weihs | Half-trek 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 E-values for False Discovery Rate Control |
2022 | Michael Bian and Rina Foygel Barber | Training-conditional coverage for distribution-free predictive inference. (Code. |
2022 | Timothy Duff, Anton Leykin, Jose Israel Rodriguez | u-generation: solving systems of polynomials equation-by-equation |
2022 | Laurentiu G. Maxim, Jose Israel Rodriguez, Botong Wang, Lei Wu | Logarithmic cotangent bundles, Chern-Mather classes, and the Huh-Sturmfels 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 non-isolated 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 | Decision-dependent risk minimization in geometrically decaying dynamic environments |
2022 | Sarah Dean, Mihaela Curmei, Lillian J Ratliff, Jamie Morgenstern, Maryam Fazel | Multi-learner 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 Decision-Dependent 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 High-order 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 decision-dependent games |
2022 | D. Kwon, Y. Fan, and K. 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 Bottou-Curtis-Nocedal 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 Large-scale 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: Convergence, divergence and limitations of its continuous approximation |
2022 | Andrew Wagenmaker, Kevin Jamieson | Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design |
2022 | Zhaoqi Li, Lillian Ratliff, Houssam Nassif, Kevin Jamieson, Lalit Jain | Instance-optimal PAC Algorithms for Contextual Bandits |
2022 | Sameer Deshpande | A new BART prior for flexible modeling with categorical predictors |
2022 | Yunyi Shen, Sameer Deshpande | On the posterior contraction of the multivariate spike-and-slab LASSO |
2022 | Yunyi Shen, Claudia Solis-Lemus, Sameer Deshpande | Sparse Gaussian chain graphs with the spike-and-slab LASSO |
2022 | Bo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu | BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach |
2023 | O'Neill, M. and Wright, S. J. | A Line-search 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 | Rudy Geelen, Stephen Wright, and Karen Willcox | Operator inference for non-intrusive model reduction with quadratic manifolds |
2023 | Matteo Croci, Karen Willcox, and Stephen Wright | Multi-output multilevel best linear unbiased estimators via semidefinite programming |
2023 | Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, and Robert Nowak | A Fully first-order 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 |
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| Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zaid Harchaoui | Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates |
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| Hanbaek Lyu | Convergence and complexity of block coordinate descent with diminishing radius for nonconvex optimization |
| Hanbaek Lyu | Stochastic regularized block majorization-minimization with weakly convex and multi-convex surrogates |
| Joowon Lee, Hanbaek Lyu, and Weixin Yao | Supervised Dictionary Learning with Auxiliary Covariates |
| 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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