stochastic gradient

Optimal Preconditioning and Fisher Adaptive Langevin Sampling NeurIPS 2023 Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model NeurIPS 2023 Policy Gradient Play with Networked Agents in Markov Potential Games L4DC 2023 Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards NeurIPS 2023 Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization AAAI 2023 Riemannian stochastic optimization methods avoid strict saddle points NeurIPS 2023 Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities NeurIPS 2023 Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis NeurIPS 2023 Stochastic Gradient Succeeds for Bandits ICML 2023 Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels ICML 2023 Tighter Analysis for ProxSkip ICML 2023 Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy ICML 2023 Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? NeurIPS 2023 Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top ICLR 2023 Active Labeling: Streaming Stochastic Gradients NeurIPS 2022 Adam Can Converge Without Any Modification On Update Rules NeurIPS 2022 Adaptive Random Walk Gradient Descent for Decentralized Optimization ICML 2022 A Deep Variational Approach to Clustering Survival Data ICLR 2022 Amortized Proximal Optimization NeurIPS 2022 Anytime Guarantees under Heavy-Tailed Data AAAI 2022 Asynchronous Distributed Optimization with Stochastic Delays AISTATS 2022 Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution JMLR 2022 Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games AAAI 2022 Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments AAAI 2022 Efficient Sampling on Riemannian Manifolds via Langevin MCMC NeurIPS 2022