 From Gradient Clipping to Normalization for Heavy Tailed SGDInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Tight Bounds for Local Glivenko-CantelliInternational Conference on Algorithmic Learning Theory (ALT), 2023 |
 Online Heavy-tailed Change-point detectionConference on Uncertainty in Artificial Intelligence (UAI), 2023 |
 Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCAInternational Conference on Machine Learning (ICML), 2023 |
 Outlier-Robust Sparse Mean Estimation for Heavy-Tailed DistributionsNeural Information Processing Systems (NeurIPS), 2022 |
 Convergence Rates of Stochastic Gradient Descent under Infinite Noise
VarianceNeural Information Processing Systems (NeurIPS), 2021 |
 On Monte-Carlo methods in convex stochastic optimizationThe Annals of Applied Probability (Ann. Appl. Probab.), 2021 |
