stochastic optimization

Efficient Variance Reduction for Meta-learning ICML 2022 End-to-end Stochastic Optimization with Energy-based Model NeurIPS 2022 Enhanced Bilevel Optimization via Bregman Distance NeurIPS 2022 Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization NeurIPS 2022 Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability NeurIPS 2022 Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods NeurIPS 2022 Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning AISTATS 2022 Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NeurIPS 2022 Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization NeurIPS 2022 Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022 First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces NeurIPS 2022 Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers ICML 2022 Gradient-Free Method for Heavily Constrained Nonconvex Optimization ICML 2022 Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization NeurIPS 2022 High-probability bounds for robust stochastic Frank-Wolfe algorithm UAI 2022 Implicit Parameter-free Online Learning with Truncated Linear Models ALT 2022 Iterative Double Sketching for Faster Least-Squares Optimization ICML 2022 Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots ICML 2022 KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints JMLR 2022 KOALA: A Kalman Optimization Algorithm with Loss Adaptivity AAAI 2022 Large-scale Optimization of Partial AUC in a Range of False Positive Rates NeurIPS 2022 Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence ICML 2022 Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs ICLR 2022 Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression NeurIPS 2022 Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients NeurIPS 2022