Stochastic Methods

Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning JMLR 2025 Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping ICLR 2025 Offline-to-Online Hyperparameter Transfer for Stochastic Bandits AAAI 2025 On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations JMLR 2025 On the Almost Sure Convergence of the Stochastic Three Points Algorithm ICLR 2025 On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm JMLR 2025 On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent JMLR 2025 On the Vulnerability of Text Sanitization NAACL 2025 Quantum Best Arm Identification with Quantum Oracles AAAI 2025 Relevance Scores Calibration for Ranked List Truncation via TMP Adapter ACL 2025 Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration JMLR 2025 Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations ICLR 2025 Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold AISTATS 2025 SFESS: Score Function Estimators for k-Subset Sampling ICLR 2025 SGD with memory: fundamental properties and stochastic acceleration ICLR 2025 SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method IJCAI 2025 SOREL: A Stochastic Algorithm for Spectral Risks Minimization ICLR 2025 Stability and Generalization for Stochastic (Compositional) Optimizations IJCAI 2025 Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025 Statistical field theory for Markov decision processes under uncertainty JMLR 2025 Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025 Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees AISTATS 2025 Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance ICLR 2025 Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks AISTATS 2025 TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency ACL 2025