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Stochastic Methods

2788 directly classified papers

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Papers

Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems JMLR 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NIPS 2022
Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism JMLR 2022
A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints AISTATS 2022
On the Complexity of Approximating Multimarginal Optimal Transport JMLR 2022
The AIM and EM Algorithms for Learning from Coarse Data JMLR 2022
Stochastic Extragradient: General Analysis and Improved Rates AISTATS 2022
Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches AISTATS 2022
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization NIPS 2022
Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions NIPS 2022
Perfect Sampling from Pairwise Comparisons NIPS 2022
Constrained Langevin Algorithms with L-mixing External Random Variables NIPS 2022
Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances AISTATS 2022
Score-Based Diffusion meets Annealed Importance Sampling NIPS 2022
Asymptotics of smoothed Wasserstein distances in the small noise regime NIPS 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022
Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions NIPS 2022
Multi-fidelity Monte Carlo: a pseudo-marginal approach NIPS 2022
A Variant of Anderson Mixing with Minimal Memory Size NIPS 2022
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes AISTATS 2022