Stochastic Methods

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024 Learning-based rigid tube model predictive control L4DC 2024 Learning Fair Division from Bandit Feedback AISTATS 2024 Leveraging partial stragglers within gradient coding NeurIPS 2024 Lexicographic Optimization: Algorithms and Stability AISTATS 2024 Linear Regression using Heterogeneous Data Batches NeurIPS 2024 Local and Adaptive Mirror Descents in Extensive-Form Games NeurIPS 2024 Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy ICML 2024 Logistic Regression Under Network Dependence JMLR 2024 Low Degree Hardness for Broadcasting on Trees NeurIPS 2024 Marginal Causal Flows for Validation and Inference NeurIPS 2024 Markov Constraint as Large Language Model Surrogate IJCAI 2024 Materials Discovery using Max K-Armed Bandit JMLR 2024 Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach NeurIPS 2024 Memory-Efficient LLM Training with Online Subspace Descent NeurIPS 2024 Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization AAAI 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Model-Based Best Arm Identification for Decreasing Bandits AISTATS 2024 Monte Carlo Tree Search based Space Transfer for Black Box Optimization NeurIPS 2024 Multi-armed bandits with guaranteed revenue per arm AISTATS 2024 Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation Interspeech 2024 Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems ICML 2024 Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization JMLR 2024 Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NeurIPS 2024 New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming ICML 2024