Stochastic Methods

Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin ICCV 2025 Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations ICML 2025 VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change IJCAI 2025 VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations JMLR 2025 When Extragradient Meets PAGE: Bridging Two Giants to Boost Variational Inequalities UAI 2025 Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions AAAI 2025 A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems AAAI 2024 Accelerated Parameter-Free Stochastic Optimization COLT 2024 Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024 Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need ICML 2024 Accelerating Neural Field Training via Soft Mining CVPR 2024 Accelerating Relative Entropy Coding with Space Partitioning NeurIPS 2024 Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint) AAAI 2024 A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent JMLR 2024 Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search AAAI 2024 Adaptive Observation Cost Control for Variational Quantum Eigensolvers ICML 2024 Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions NeurIPS 2024 A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization ICML 2024 Adversarial Schrödinger Bridge Matching NeurIPS 2024 A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution CVPR 2024 A Fast Algorithm for MaxSAT above Half Number of Clauses IJCAI 2024 A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization ICML 2024 A Homogenization Approach for Gradient-Dominated Stochastic Optimization UAI 2024 Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024 Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024