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Stochastic Methods

2,991 papers

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Papers

A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization AISTATS 2024 An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness NeurIPS 2024 An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024 An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms IJCAI 2024 A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness ICML 2024 An Effective Dynamic Gradient Calibration Method for Continual Learning ICML 2024 An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations NeurIPS 2024 An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024 A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration IJCAI 2024 An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024 An invariant information geometric method for high-dimensional online optimization L4DC 2024 Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing NeurIPS 2024 A non-backtracking method for long matrix and tensor completion COLT 2024 An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization ICML 2024 Approximate Integer Solution Counts over Linear Arithmetic Constraints AAAI 2024 A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers NeurIPS 2024 AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024 A Survey on Multi-player Bandits JMLR 2024 Asynchronous Randomized Trace Estimation AISTATS 2024 Bandit Pareto Set Identification: the Fixed Budget Setting AISTATS 2024 Barely Random Algorithms and Collective Metrical Task Systems NeurIPS 2024 Batched Energy-Entropy acquisition for Bayesian Optimization NeurIPS 2024 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NeurIPS 2024 Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization ICML 2024 Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process ICML 2024