stochastic approximation

Random Function Descent NeurIPS 2024 Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024 Single-Trajectory Distributionally Robust Reinforcement Learning ICML 2024 Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024 Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality JMLR 2024 Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024 The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize NeurIPS 2024 Zeroth-order Stochastic Approximation Algorithms for DR-submodular Optimization JMLR 2024 Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start JMLR 2023 HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023 Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NeurIPS 2023 Stochastic Approximation Algorithms for Systems of Interacting Particles NeurIPS 2023 Top-k data selection via distributed sample quantile inference L4DC 2023 A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NeurIPS 2022 A Statistical Online Inference Approach in Averaged Stochastic Approximation NeurIPS 2022 Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NeurIPS 2022 Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape JMLR 2022 Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity ICML 2022 Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch JMLR 2022 Gradient Temporal Difference with Momentum: Stability and Convergence AAAI 2022 Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022 Online Deep Equilibrium Learning for Regularization by Denoising NeurIPS 2022 Optimal and instance-dependent guarantees for Markovian linear stochastic approximation COLT 2022 Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions NeurIPS 2022 State Dependent Performative Prediction with Stochastic Approximation AISTATS 2022