Publications

Google Scholar Profiles

• Kangwook Lee
• Ramya Korlakai Vinayak
• Matthew Malloy
• Robert Nowak
• Dimitris Papailopoulos

Recent Publications

• 2021
  • 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