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Papers
Improved Lower Bounds for First-order Stochastic Non-convex Optimization under Markov Sampling
ICML 2025
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
JMLR 2025
Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions
ICML 2024
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction
NeurIPS 2024
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD
COLT 2023