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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
Least Squares Estimation using Sketched Data with Heteroskedastic Errors
ICML 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
ICML 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
AISTATS 2022
Robustness to Unbounded Smoothness of Generalized SignSGD
NIPS 2022
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
ICML 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes
ICML 2022
Generalizing Gaussian Smoothing for Random Search
ICML 2022
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
NIPS 2022
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
NIPS 2022
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
ICML 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization
ICML 2022
Rotting Infinitely Many-Armed Bandits
ICML 2022
Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards
ICML 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
ICML 2022
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making
ICML 2022
Online Learning for Min Sum Set Cover and Pandora’s Box
ICML 2022
Discrete Probabilistic Inverse Optimal Transport
ICML 2022
The power of first-order smooth optimization for black-box non-smooth problems
ICML 2022
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
ICML 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach
ICML 2022
Sparsity in Partially Controllable Linear Systems
ICML 2022
Adapting to Mixing Time in Stochastic Optimization with Markovian Data
ICML 2022
Streaming Algorithms for High-Dimensional Robust Statistics
ICML 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise
ICML 2022
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
ICML 2022
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