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Mathematics & Optimization

19,283 papers (0 classified directly here)

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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