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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
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization
NIPS 2021
On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond
NIPS 2021
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization
NIPS 2021
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits
NIPS 2021
Slice Sampling Reparameterization Gradients
NIPS 2021
Locally differentially private estimation of functionals of discrete distributions
NIPS 2021
Never Go Full Batch (in Stochastic Convex Optimization)
NIPS 2021
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
NIPS 2021
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
NIPS 2021
Improved Guarantees for Offline Stochastic Matching via new Ordered Contention Resolution Schemes
NIPS 2021
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
NIPS 2021
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
NIPS 2021
The Complexity of Sparse Tensor PCA
NIPS 2021
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
NIPS 2021
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
NIPS 2021
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs
NIPS 2021
Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds
NIPS 2021
Bandit Phase Retrieval
NIPS 2021
On the Second-order Convergence Properties of Random Search Methods
NIPS 2021
Mirror Langevin Monte Carlo: the Case Under Isoperimetry
NIPS 2021
Fast and accurate randomized algorithms for low-rank tensor decompositions
NIPS 2021
Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits
NIPS 2021
Faster Non-asymptotic Convergence for Double Q-learning
NIPS 2021
Regret Bounds for Gaussian-Process Optimization in Large Domains
NIPS 2021
A Faster Decentralized Algorithm for Nonconvex Minimax Problems
NIPS 2021
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