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Papers
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent
AAAI 2025
Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation
AISTATS 2025
Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
AISTATS 2025
Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise
NeurIPS 2024
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference
AAAI 2024
The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
NeurIPS 2024
Stochastic Gradient Succeeds for Bandits
ICML 2023
Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning
AISTATS 2020
Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go?
AISTATS 2018
Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions
AISTATS 2015
Variance Reduced Stochastic Gradient Descent with Neighbors
NeurIPS 2015