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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
Is Sortition Both Representative and Fair?
NIPS 2022
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
NIPS 2022
Maximizing and Satisficing in Multi-armed Bandits with Graph Information
NIPS 2022
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
NIPS 2022
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
NIPS 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
NIPS 2022
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity
NIPS 2022
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
NIPS 2022
Learning Bipartite Graphs: Heavy Tails and Multiple Components
NIPS 2022
Order-Invariant Cardinality Estimators Are Differentially Private
NIPS 2022
Fast Algorithms for Packing Proportional Fairness and its Dual
NIPS 2022
Perfect Sampling from Pairwise Comparisons
NIPS 2022
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions
NIPS 2022
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
NIPS 2022
Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM
NIPS 2022
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces
NIPS 2022
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion
NIPS 2022
Unbiased and Efficient Sampling of Dependency Trees
EMNLP 2022
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity
NIPS 2022
Multi-fidelity Monte Carlo: a pseudo-marginal approach
NIPS 2022
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
CVPR 2022
Score-Based Diffusion meets Annealed Importance Sampling
NIPS 2022
Constrained Langevin Algorithms with L-mixing External Random Variables
NIPS 2022
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction
CVPR 2022
Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of SO(3)
CVPR 2022
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