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Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories AISTATS 2023
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games AISTATS 2023
No time to waste: practical statistical contact tracing with few low-bit messages AISTATS 2023
Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback AISTATS 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals AISTATS 2023
Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023
Sampling random graph homomorphisms and applications to network data analysis JMLR 2023
A Faster Sampler for Discrete Determinantal Point Processes AISTATS 2023
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits AISTATS 2023
On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size JMLR 2023
Piecewise Stationary Bandits under Risk Criteria AISTATS 2023
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback AISTATS 2023
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution AISTATS 2023
Online Learning for Traffic Routing under Unknown Preferences AISTATS 2023
Vector Optimization with Stochastic Bandit Feedback AISTATS 2023
Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes AISTATS 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo COLT 2023
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited UAI 2023
Meta-learning Control Variates: Variance Reduction with Limited Data UAI 2023