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Stochastic Methods

2,991 papers

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Papers

Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests ICML 2023 Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization ICML 2023 Networked Restless Bandits with Positive Externalities AAAI 2023 Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations NeurIPS 2023 Non-Convex Bilevel Optimization with Time-Varying Objective Functions NeurIPS 2023 Nonparametric Extensions of Randomized Response for Private Confidence Sets ICML 2023 Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization NeurIPS 2023 No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution AISTATS 2023 No time to waste: practical statistical contact tracing with few low-bit messages AISTATS 2023 NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques AAAI 2023 Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage NeurIPS 2023 On a Class of Gibbs Sampling over Networks COLT 2023 On a Voter Model with Context-Dependent Opinion Adoption IJCAI 2023 On Biased Compression for Distributed Learning JMLR 2023 One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems ACL 2023 On Error and Compression Rates for Prototype Rules AAAI 2023 On Learning Rates and Schrödinger Operators JMLR 2023 Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback AISTATS 2023 Online Learning for Traffic Routing under Unknown Preferences AISTATS 2023 Online Model Adaptation with Feedforward Compensation CoRL 2023 Online Nonstochastic Control with Adversarial and Static Constraints ICML 2023 Online Non-stochastic Control with Partial Feedback JMLR 2023 Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval JMLR 2023 On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size JMLR 2023 On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms NeurIPS 2023