stochastic optimization

Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024 Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases AISTATS 2024 Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024 Stochastic Newton Proximal Extragradient Method NeurIPS 2024 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NeurIPS 2024 Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss NeurIPS 2024 Stochastic Optimization with Arbitrary Recurrent Data Sampling ICML 2024 Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates JMLR 2024 Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity NeurIPS 2024 The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication COLT 2024 Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NeurIPS 2024 Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits NeurIPS 2024 Truncated Variance Reduced Value Iteration NeurIPS 2024 Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024 Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting AISTATS 2024 Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024 Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024 Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction NeurIPS 2024 Variational Linearized Laplace Approximation for Bayesian Deep Learning ICML 2024 Why Do We Need Weight Decay in Modern Deep Learning? NeurIPS 2024 z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning AAAI 2024 (ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits COLT 2024 ℓ_p-Regression in the Arbitrary Partition Model of Communication COLT 2023 Accelerated Stochastic Optimization Methods under Quasar-convexity ICML 2023 Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization NeurIPS 2023