Publications

Google Scholar Profiles

Recent Publications

2022
- GenLabel: Mixup Relabeling using Generative Models
  J. Sohn, L. Shang, H. Chen, J. Moon, D. Papailiopoulos, and K. Lee
  ICML 2022
- Permutation-Based SGD: Is Random Optimal?
  S. Rajput, K. Lee, and D. Papailiopoulos
  ICLR 2022
2021
- Pure exploration in kernel and neural bandits
  Y. Zhu, D. Zhou, R. Jiang, Q. Gu, R. Willett, R. Nowak
  NeurIPS 2021
- Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
  J. Katz-Samuels, B. Mason, K. Jamieson, R. Nowak
  NeurIPS 2021
- An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks
  S Rajput, K Sreenivasan, D Papailiopoulos, A Karbasi
  NeurIPS 2021
- Sample Selection for Fair and Robust Training
  Y. Roh, K. Lee, S. Whang, and C. Suh
  NeurIPS 2021
- Gradient Inversion with Generative Image Prior
  J. Kim, J. Jeon, K. Lee, S. Oh, and J. Ok
  NeurIPS 2021
- Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics
  Z. Miao, W. Kong, R. Korlakai Vinayak, W. Sun, and F. Han
- Coded-InvNet for Resilient Prediction Serving Systems
  T. Dinh and K. Lee
  ICML 2021
- Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
  C. Jo and K. Lee
  ICML 2021
- Pufferfish: Communication-efficient Models At No Extra Cost
  H. Wang, S. Agarwal, and D. Papailiopoulos
  MLSys 2021
- Tensor Methods for Nonlinear Matrix Completion
  G Ongie, D Pimentel-Alarcón, L Balzano, R Willett, RD Nowak
  
  SIAM Journal on Mathematics of Data Science 3 (1), 253-279
- Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification
  S. Agarwal, H. Wang, K. Lee, S. Venkataraman, and D. Papailiopoulos
  MLSys 2021
- FairBatch: Batch Selection for Model Fairness
  Y. Roh, K. Lee, S. Whang, and C. Suh
  ICLR 2021
- Banach space representer theorems for neural networks and ridge splines
  R Parhi, RD Nowak
  
  Journal of Machine Learning Research 22 (43), 1-40
2020
- Maximin active learning in overparameterized model classes
  M Karzand, RD Nowak
  
  IEEE Journal on Selected Areas in Information Theory 1 (1), 167-177
- Concentration inequalities for the empirical distribution of discrete distributions: beyond the method of types
  J Mardia, J Jiao, E Tánczos, RD Nowak, T Weissman
  
  Information and Inference: A Journal of the IMA 9 (4), 813-850
- Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient
  A. Pensia, S. Rajput, A. Nagle, H. Vishwakarma, D. Papailiopoulos
  NeurIPS 2020 (spotlight)
- Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
  H. Wang, K. Sreenivasan, S. Rajput, H. Vishwakarma, S. Agarwal, J. Sohn, K. Lee, and D. Papailiopoulos
  NeurIPS 2020
- Bad Global Minima Exist and SGD Can Reach Them
  S. Liu, D. Papailiopoulos, D. Achlioptas
  NeurIPS 2020
- Finding All ϵ -Good Arms in Stochastic Bandits
  B Mason, L Jain, AS Tripathy, R Nowak
  NeuIPS 2020
- Reprogramming GANs via Input Noise Design
  K. Lee, C. Suh, and K. Ramchandran
  ECML PKDD 2020
- Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception
  A Sen, X Zhu, E Marshall, R Nowak
  
  International Conference on Decision and Game Theory for Security 2020
- Robust Outlier Arm Identification
  Y Zhu, S Katariya, R Nowak
  
  ICML 2020
- Estimating the number and effect sizes of non-null hypotheses
  J. Brennan, R. Korlakai Vinayak, K. Jamieson
  ICML 2020
- The role of neural network activation functions
  R Parhi, RD Nowak
  
  IEEE Signal Processing Letters 2020
- Federated Learning with Matched Averaging
  H. Wang, M. Yurochkin, Y. Sun, D. Papailiopoulos, Y. Khazaeni
  ICLR 2020 (oral)
- FR-Train: A mutual information-based approach to fair and robust training
  Y. Roh, K. Lee, S. Whang, and C. Suh
  ICML 2020
- Closing the Convergence Gap of SGD without Replacement
  S. Rajput, A. Gupta, D. Papailiopoulos
  ICML 2020
- Linear bandits with feature feedback
  U Oswal, A Bhargava, R Nowak
  
  AAAI 2020
2019
- DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation?
  S. Rajput, H. Wang, Z. Charles, and D. Papailiopoulos
  NeurIPS 2019
- Maxgap bandit: Adaptive algorithms for approximate ranking
  S Katariya, A Tripathy, R Nowak
  NeurIPS 2019
- Learning nearest neighbor graphs from noisy distance samples
  B Mason, A Tripathy, R Nowak
  NeurIPS 2019
- Maximum Likelihood Estimation for Learning Populations of Parameters
  R. Korlakai Vinayak, W. Kong, G. Valiant, and S. Kakade
  ICML 2019
- Does Data Augmentation Lead to Positive Margin?
  S. Rajput, Z. Feng, Z. Charles, P.-L. Loh, and D. Papailiopoulos
  ICML 2019
- Bilinear bandits with low-rank structure
  KS Jun, R Willett, S Wright, R Nowak
  
  ICML 2019
- The Illusion of Change: Correcting for Bias when Inferring Changes in Sparse, Societal-Scale Data
  G. Cadamuro, R. Korlakai Vinayak, J. Blumenstock, S. Kakade, and J. N. Shapiro
  WWW 2019
- Crash to Not Crash: Learn to Identify Dangerous Vehicles using a Simulator
  H. Kim*, K. Lee*, G. Hwang, and C. Suh
  AAAI 2019 (oral)
<= 2018
- Binary Rating Estimation with Graph Side Information
  K. Ahn, K. Lee, H. Cha, and C. Suh
  NeurIPS 2018
- Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
  K. Lee*, H. Kim*, and C. Suh
  ICLR 2018