Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
8
13
8
24
100
100
125
139
182
227
311
530
574
599
676
880
1,053
1,491
1,739
1,880
1,904
2,070
2,345
1,785
517
2000
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Papers (including subtopics)
A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem
NeurIPS 2023
A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty
RSS 2023
A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP
ICML 2023
A Second-Order Method for Stochastic Bandit Convex Optimisation
COLT 2023
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
WACV 2023
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization
NeurIPS 2023
A Smooth Binary Mechanism for Efficient Private Continual Observation
NeurIPS 2023
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
NeurIPS 2023
A Statistical Exploration of Text Partition Into Constituents: The Case of the Priestly Source in the Books of Genesis and Exodus
ACL 2023
A Structural Complexity Analysis of Synchronous Dynamical Systems
AAAI 2023
A Study of Students’ Learning of Computing through an LP-Based Integrated Curriculum for Middle Schools
AAAI 2023
A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time
NeurIPS 2023
Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits
NeurIPS 2023
Asymptotic confidence sets for random linear programs
COLT 2023
Asynchronous Communication Aware Multi-Agent Task Allocation
IJCAI 2023
Asynchronous Distributed Bilevel Optimization
ICLR 2023
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees
JMLR 2023
Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling
NeurIPS 2023
A Tale of Sampling and Estimation in Discounted Reinforcement Learning
AISTATS 2023
A theory of representation learning gives a deep generalisation of kernel methods
ICML 2023
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise
ICML 2023
Auditing Fairness by Betting
NeurIPS 2023
Augmented Sparsifiers for Generalized Hypergraph Cuts
JMLR 2023
Augmenting Automated Spectrum Based Fault Localization for Multiple Faults
IJCAI 2023
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty
JMLR 2023