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

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Papers (including subtopics)

The Value of Reward Lookahead in Reinforcement Learning NeurIPS 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024 Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NeurIPS 2024 Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit AAAI 2024 Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem AAAI 2024 Thresholds for Reconstruction of Random Hypergraphs From Graph Projections COLT 2024 TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression ICML 2024 Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers ECCV 2024 Tight Bounds for Local Glivenko-Cantelli ALT 2024 Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions JMLR 2024 Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NeurIPS 2024 Tight Rates for Bandit Control Beyond Quadratics NeurIPS 2024 Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence AAAI 2024 Time-Constrained Robust MDPs NeurIPS 2024 TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization AAAI 2024 Top-K ranking with a monotone adversary COLT 2024 TopoGCL: Topological Graph Contrastive Learning AAAI 2024 Topological Node2vec: Enhanced Graph Embedding via Persistent Homology JMLR 2024 To smooth a cloud or to pin it down: Expressiveness guarantees and insights on score matching in denoising diffusion models UAI 2024 Total Variation Distance Meets Probabilistic Inference ICML 2024 Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts IJCAI 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024 Towards a Similarity-adjusted Surprisal Theory EMNLP 2024 Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation AAAI 2024 Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization IJCAI 2024