conftrace_

Mathematics & Optimization

19,283 papers (0 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (14,850) Mathematics (6,356) Probability (617) Statistics (361) Discrete Mathematics (23)

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

'5

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'25

Papers (including subtopics)

A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem AAAI 2024 A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization ICML 2024 A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NeurIPS 2024 A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton AAAI 2024 A Framework for Bilevel Optimization on Riemannian Manifolds NeurIPS 2024 A Framework for Data-Driven Explainability in Mathematical Optimization AAAI 2024 A General Algorithm for Solving Rank-one Matrix Sensing AISTATS 2024 A General Framework for the Analysis of Kernel-based Tests JMLR 2024 A General Framework for User-Guided Bayesian Optimization ICLR 2024 A Generalized Neural Diffusion Framework on Graphs AAAI 2024 A General Online Algorithm for Optimizing Complex Performance Metrics ICML 2024 A Generic and Flexible Regularization Framework for NeRFs WACV 2024 A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights ICML 2024 Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction NeurIPS 2024 A Global Geometric Analysis of Maximal Coding Rate Reduction ICML 2024 A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NeurIPS 2024 Agnostic Sample Compression Schemes for Regression ICML 2024 A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq IJCAI 2024 A Graph Theoretic Approach for Preference Learning with Feature Information UAI 2024 A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024 A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network NSDI 2024 A Homogenization Approach for Gradient-Dominated Stochastic Optimization UAI 2024 Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses ICML 2024 Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024 Alias-Free Mamba Neural Operator NeurIPS 2024