stochastic method

Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023 Gibbsian Polar Slice Sampling ICML 2023 Learning GFlowNets From Partial Episodes For Improved Convergence And Stability ICML 2023 Non-Convex Bilevel Optimization with Time-Varying Objective Functions NeurIPS 2023 On the Efficacy of Sampling Adapters ACL 2023 Optimal Shrinkage for Distributed Second-Order Optimization ICML 2023 PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023 Riemannian stochastic optimization methods avoid strict saddle points NeurIPS 2023 Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023 Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms IJCAI 2023 Unconstrained Online Learning with Unbounded Losses ICML 2023 Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization NeurIPS 2022 Constrained Langevin Algorithms with L-mixing External Random Variables NeurIPS 2022 EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NeurIPS 2022 Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method NeurIPS 2022 Learning with little mixing NeurIPS 2022 LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022 SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems NeurIPS 2022 The Semi-random Likelihood of Doctrinal Paradoxes AAAI 2022 Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022 Alternating Direction Method of Multipliers for Quantization AISTATS 2021 Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors ICLR 2021 A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints JMLR 2021 Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback AAAI 2021 Convergence Properties of Stochastic Hypergradients AISTATS 2021