Stochastic Methods
2,991 papers
Papers per year
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23
33
43
70
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84
113
144
173
261
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2000
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Papers
Heavy-tailed linear bandit with Huber regression
UAI 2023
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent
AISTATS 2023
Heuristic Search for Multi-Objective Probabilistic Planning
AAAI 2023
High-dimensional Asymptotics of Denoising Autoencoders
NeurIPS 2023
High Probability Bounds for Stochastic Continuous Submodular Maximization
AISTATS 2023
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
JMLR 2023
History Filtering in Imperfect Information Games: Algorithms and Complexity
NeurIPS 2023
Importance Sparsification for Sinkhorn Algorithm
JMLR 2023
Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
NeurIPS 2023
Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
NeurIPS 2023
Improved dimension dependence of a proximal algorithm for sampling
COLT 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
COLT 2023
Improved Frequency Estimation Algorithms with and without Predictions
NeurIPS 2023
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation
AISTATS 2023
Improved Powered Stochastic Optimization Algorithms for Large-Scale Machine Learning
JMLR 2023
Incremental Aggregated Riemannian Gradient Method for Distributed PCA
AISTATS 2023
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations
JMLR 2023
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
JMLR 2023
Kernel Quadrature with Randomly Pivoted Cholesky
NeurIPS 2023
Kernel QuantTree
ICML 2023
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
NeurIPS 2023
Langevin Quasi-Monte Carlo
NeurIPS 2023
Large deviations rates for stochastic gradient descent with strongly convex functions
AISTATS 2023
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games
AISTATS 2023
Learning and Planning under Uncertainty for Conservation Decisions
AAAI 2023