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Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Stochastic Methods
1077 directly classified papers
Papers per year
2005: 2
2006: 5
2007: 7
2008: 12
2009: 6
2010: 18
2011: 18
2012: 29
2013: 28
2014: 38
2015: 33
2016: 37
2017: 44
2018: 58
2019: 78
2020: 102
2021: 117
2022: 126
2023: 117
2024: 156
2025: 43
2026: 3
Papers
On the Double Descent of Random Features Models Trained with SGD
NIPS 2022
Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method
IJCAI 2022
Improved Pure Exploration in Linear Bandits with No-Regret Learning
IJCAI 2022
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
IJCAI 2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
ICML 2022
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization
IJCAI 2022
Truncation Sampling as Language Model Desmoothing
EMNLP 2022
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning
NIPS 2022
Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models
JMLR 2022
Residual-Based Sampling for Online Outlier-Robust PCA
ICML 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
ICML 2022
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization
ICML 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
JMLR 2022
Amortized Proximal Optimization
NIPS 2022
Detached Error Feedback for Distributed SGD with Random Sparsification
ICML 2022
Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression
ICML 2022
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent
ICML 2022
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
ICML 2022
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers
ICML 2022
Scaling Structured Inference with Randomization
ICML 2022
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
ICML 2022
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units
AAAI 2022
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition
NIPS 2022
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification
NIPS 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
NIPS 2022
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