stochastic method

Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization ICML 2025 Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport AAAI 2025 Expected Variational Inequalities ICML 2025 Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Interspeech 2025 Nearly-tight Approximation Guarantees for the Improving Multi-Armed Bandits Problem ALT 2025 Regularized Langevin Dynamics for Combinatorial Optimization ICML 2025 Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025 Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin ICCV 2025 A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization ICML 2024 Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization NeurIPS 2024 Efficient Combinatorial Optimization via Heat Diffusion NeurIPS 2024 Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm JMLR 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity NeurIPS 2024 Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach NeurIPS 2024 No Internal Regret with Non-convex Loss Functions AAAI 2024 Robust Reinforcement Learning with General Utility NeurIPS 2024 Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NeurIPS 2024 Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024 Universal Exact Compression of Differentially Private Mechanisms NeurIPS 2024 Accelerated Stochastic Optimization Methods under Quasar-convexity ICML 2023 A Guide Through the Zoo of Biased SGD NeurIPS 2023 Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation ICML 2023 Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards NeurIPS 2023 Efficient Online Clustering with Moving Costs NeurIPS 2023