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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
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
ICML 2022
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
ICML 2022
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
ICML 2022
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
ICML 2022
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
ICML 2022
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond
NIPS 2022
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
ICML 2022
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
ICML 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach
ICML 2022
SIXO: Smoothing Inference with Twisted Objectives
NIPS 2022
Bayesian quantile and expectile optimisation
UAI 2022
High-probability bounds for robust stochastic Frank-Wolfe algorithm
UAI 2022
Stochastic Reweighted Gradient Descent
ICML 2022
An explore-then-commit algorithm for submodular maximization under full-bandit feedback
UAI 2022
Generalized Bayesian quadrature with spectral kernels
UAI 2022
Generalizing Gaussian Smoothing for Random Search
ICML 2022
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
ICML 2022
Causal inference with treatment measurement error: a nonparametric instrumental variable approach
UAI 2022
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
ICML 2022
Global Convergence and Stability of Stochastic Gradient Descent
NIPS 2022
Rotting Infinitely Many-Armed Bandits
ICML 2022
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
NIPS 2022
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff
AISTATS 2022
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs
JMLR 2022
Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations
NIPS 2022
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