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Methodology
← Optimization
Mathematics & Optimization
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Optimization
›
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
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
AISTATS 2019
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
NIPS 2019
A Universally Optimal Multistage Accelerated Stochastic Gradient Method
NIPS 2019
Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization
ICML 2019
Fast Algorithm for Generalized Multinomial Models with Ranking Data
ICML 2019
Random Shuffling Beats SGD after Finite Epochs
ICML 2019
Better generalization with less data using robust gradient descent
ICML 2019
Nonconvex Variance Reduced Optimization with Arbitrary Sampling
ICML 2019
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization
ICML 2019
Inverse Path Tracing for Joint Material and Lighting Estimation
CVPR 2019
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting
AAAI 2019
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms
AAAI 2019
Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS)
AAAI 2019
Approximate Inference of Outcomes in Probabilistic Elections
AAAI 2019
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
AAAI 2019
Stochastic Submodular Maximization with Performance-Dependent Item Costs
AAAI 2019
Bayesian Optimization under Heavy-tailed Payoffs
NIPS 2019
Efficient Algorithms for Smooth Minimax Optimization
NIPS 2019
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization
JMLR 2019
Stochastic Canonical Correlation Analysis
JMLR 2019
Estimating Entropy of Distributions in Constant Space
NIPS 2019
Learning Hawkes Processes from a handful of events
NIPS 2019
An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM
CVPR 2019
Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction
ACL 2019
An Optimal Private Stochastic-MAB Algorithm based on Optimal Private Stopping Rule
ICML 2019
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