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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
BANSAC: A Dynamic BAyesian Network for Adaptive SAmple Consensus
ICCV 2023
On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size
JMLR 2023
VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback
JMLR 2023
A Second-Order Method for Stochastic Bandit Convex Optimisation
COLT 2023
Phase Transitions in the Detection of Correlated Databases
ICML 2023
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
JMLR 2023
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence
JMLR 2023
Statistical Inference and A/B Testing for First-Price Pacing Equilibria
ICML 2023
Optimal Convergence Rates for Distributed Nystroem Approximation
JMLR 2023
Stochastic Optimization under Distributional Drift
JMLR 2023
Adaptive Data Depth via Multi-Armed Bandits
JMLR 2023
ScaleDB: A Scalable, Asynchronous In-Memory Database
OSDI 2023
Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds
JMLR 2023
Least Squares Model Averaging for Distributed Data
JMLR 2023
Improved Powered Stochastic Optimization Algorithms for Large-Scale Machine Learning
JMLR 2023
Regularized online DR-submodular optimization
UAI 2023
Importance Sparsification for Sinkhorn Algorithm
JMLR 2023
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC
JMLR 2023
Online Non-stochastic Control with Partial Feedback
JMLR 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
COLT 2023
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited
UAI 2023
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD
JMLR 2023
Prediction Equilibrium for Dynamic Network Flows
JMLR 2023
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees
JMLR 2023
Meta-learning Control Variates: Variance Reduction with Limited Data
UAI 2023
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