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Methodology
← Optimization
Mathematics & Optimization
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Optimization
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Stochastic Methods
2788 directly classified papers
Papers per year
2000: 1
2002: 2
2003: 5
2004: 1
2005: 2
2006: 10
2007: 13
2008: 16
2009: 15
2010: 23
2011: 33
2012: 43
2013: 69
2014: 77
2015: 82
2016: 112
2017: 144
2018: 173
2019: 265
2020: 292
2021: 316
2022: 314
2023: 353
2024: 307
2025: 98
2026: 22
Papers
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
ICML 2022
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization
ICML 2022
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
NIPS 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
Score-Based Diffusion meets Annealed Importance Sampling
NIPS 2022
Langevin Monte Carlo for Contextual Bandits
ICML 2022
Accurate Quantization of Measures via Interacting Particle-based Optimization
ICML 2022
Delay-Adaptive Step-sizes for Asynchronous Learning
ICML 2022
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
ICML 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
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
ICML 2022
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
ICML 2022
Iterative Double Sketching for Faster Least-Squares Optimization
ICML 2022
Bayesian Optimization under Stochastic Delayed Feedback
ICML 2022
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
NIPS 2022
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
ICML 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
ICML 2022
Fenrir: Physics-Enhanced Regression for Initial Value Problems
ICML 2022
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound
ICML 2022
Asymptotics of smoothed Wasserstein distances in the small noise regime
NIPS 2022
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity
NIPS 2022
Fast Algorithms for Packing Proportional Fairness and its Dual
NIPS 2022
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