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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
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems?
ICML 2020
Layered Sampling for Robust Optimization Problems
ICML 2020
A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control
L4DC 2020
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling
NIPS 2020
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition
NIPS 2020
NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets
SEMEVAL 2020
Independent Echo Path Modeling for Stereophonic Acoustic Echo Cancellation
INTERSPEECH 2020
Sub-sampling for Efficient Non-Parametric Bandit Exploration
NIPS 2020
On Testing of Samplers
NIPS 2020
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform
NIPS 2020
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method
NIPS 2020
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
NIPS 2020
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration
NIPS 2020
Wasserstein Control of Mirror Langevin Monte Carlo
COLT 2020
Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits
COLT 2020
Adaptive Submodular Maximization under Stochastic Item Costs
COLT 2020
Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo
COLT 2020
Fast Uniform Dispersion of a Crash-prone Swarm
RSS 2020
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints
RSS 2020
Variance reduction for Random Coordinate Descent-Langevin Monte Carlo
NIPS 2020
On the Convergence of Nesterov’s Accelerated Gradient Method in Stochastic Settings
ICML 2020
Random extrapolation for primal-dual coordinate descent
ICML 2020
Noise-Contrastive Estimation for Multivariate Point Processes
NIPS 2020
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming
ICML 2020
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization
ICML 2020
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