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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
Split, count, and share: a differentially private set intersection cardinality estimation protocol
UAI 2023
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health
AAAI 2023
Entropy Regularization for Population Estimation
AAAI 2023
Speeding Up Bellman Ford via Minimum Violation Permutations
ICML 2023
Almost Cost-Free Communication in Federated Best Arm Identification
AAAI 2023
A Distribution Optimization Framework for Confidence Bounds of Risk Measures
ICML 2023
Sampling-based Nyström Approximation and Kernel Quadrature
ICML 2023
Short-lived High-volume Bandits
ICML 2023
Phase Transitions in the Detection of Correlated Databases
ICML 2023
Optimistic Whittle Index Policy: Online Learning for Restless Bandits
AAAI 2023
Best Arm Identification in Multi-Agent Multi-Armed Bandits
ICML 2023
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
IJCAI 2023
Multi-Unit Auctions for Allocating Chance-Constrained Resources
AAAI 2023
GANs as Gradient Flows that Converge
JMLR 2023
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems
NIPS 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
NIPS 2023
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
NIPS 2023
A theory of representation learning gives a deep generalisation of kernel methods
ICML 2023
Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model
AISTATS 2023
DOTE: Rethinking (Predictive) WAN Traffic Engineering
NSDI 2023
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization
NIPS 2023
Optimal Sketching Bounds for Sparse Linear Regression
AISTATS 2023
Moments, Random Walks, and Limits for Spectrum Approximation
COLT 2023
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
NIPS 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
AAAI 2023
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