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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
Improved Frequency Estimation Algorithms with and without Predictions
NIPS 2023
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
ICML 2023
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment
NIPS 2023
Private Federated Frequency Estimation: Adapting to the Hardness of the Instance
NIPS 2023
Sampling-based Nyström Approximation and Kernel Quadrature
ICML 2023
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
NIPS 2023
Stochastic Generative Flow Networks
UAI 2023
Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds
JMLR 2023
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?
NIPS 2023
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization
ICML 2023
Bayesian Optimization-Based Combinatorial Assignment
AAAI 2023
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
NIPS 2023
Efficient displacement convex optimization with particle gradient descent
ICML 2023
Distributed Algorithms for U-statistics-based Empirical Risk Minimization
JMLR 2023
Subset-Based Instance Optimality in Private Estimation
ICML 2023
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
ICML 2023
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
ICML 2023
Plateau-Reduced Differentiable Path Tracing
CVPR 2023
Robust and private stochastic linear bandits
ICML 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization
ICML 2023
Data Structures for Density Estimation
ICML 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation
JMLR 2023
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
NSDI 2023
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance
ICML 2023
A Fast Algorithm for Computing Prefix Probabilities
ACL 2023
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