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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
Faster Double Adaptive Gradient Methods
AAAI 2025
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
JMLR 2025
Backward Filtering Forward Guiding
JMLR 2025
Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity
JMLR 2025
Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients
JMLR 2025
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
JMLR 2025
Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability
JMLR 2025
EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback
JMLR 2025
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization
JMLR 2025
Graph-accelerated Markov Chain Monte Carlo using Approximate Samples
JMLR 2025
Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity
JMLR 2025
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
JMLR 2025
Sampling and Estimation on Manifolds using the Langevin Diffusion
JMLR 2025
Distribution Estimation under the Infinity Norm
JMLR 2025
Contextual Bandits with Stage-wise Constraints
JMLR 2025
Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization
JMLR 2025
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems
JMLR 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
JMLR 2025
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity
AAAI 2025
Toward Robust Neural Reconstruction from Sparse Point Sets
CVPR 2025
Hyperparametric Robust and Dynamic Influence Maximization
AAAI 2025
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
AAAI 2025
Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game
AAAI 2025
Smoothed Online Convex Optimization with Delayed Feedback
IJCAI 2025
Multi-player Multi-armed Bandits with Delayed Feedback
IJCAI 2025
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