Stochastic Methods

AutoStep: Locally adaptive involutive MCMC ICML 2025 Backward Filtering Forward Guiding JMLR 2025 Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs AAAI 2025 Beehive: A Scalable Disaggregated Memory Runtime Exploiting Asynchrony of Multithreaded Programs NSDI 2025 Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis AAAI 2025 Beyond propagation of chaos: A stochastic algorithm for mean field optimization COLT 2025 BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings AAAI 2025 Both Asymptotic and Non-Asymptotic Convergence of Quasi-Hyperbolic Momentum using Increasing Batch Size ACML 2025 Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs COLT 2025 Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies ICML 2025 Clustering Items through Bandit Feedback: Finding the Right Feature out of Many ICML 2025 CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages COLING 2025 CompileAgent: Automated Real-World Repo-Level Compilation with Tool-Integrated LLM-based Agent System ACL 2025 Contextual Bandits with Stage-wise Constraints JMLR 2025 Contextual Linear Bandits with Delay as Payoff ICML 2025 Continuous Diffusive Prediction Network for Multi-Station Weather Prediction IJCAI 2025 Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence AAAI 2025 Counterfactual Online Learning for Open-Loop Monte-Carlo Planning AAAI 2025 Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity JMLR 2025 Decomposing Inconsistencies: Marginal Contributions and Pooling Techniques IJCAI 2025 Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025 Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025 Distribution Estimation under the Infinity Norm JMLR 2025 Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding ACL 2025 Don’t Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters ICML 2025