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)

Data Poisoning to Fake a Nash Equilibria for Markov Games AAAI 2024 DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context UAI 2024 Data subsampling for Poisson regression with pth-root-link NeurIPS 2024 Data Summarization via Bilevel Optimization JMLR 2024 Data Thinning for Convolution-Closed Distributions JMLR 2024 Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning AAAI 2024 Debiased Distribution Compression ICML 2024 Debiasing Evaluations That Are Biased by Evaluations JMLR 2024 Debiasing Synthetic Data Generated by Deep Generative Models NeurIPS 2024 Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers ICML 2024 Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization AAAI 2024 Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024 Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions NeurIPS 2024 Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold ICLR 2024 Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits AAAI 2024 Decentralized Sum-of-Nonconvex Optimization AAAI 2024 Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations CVPR 2024 Decision-Focused Evaluation of Worst-Case Distribution Shift UAI 2024 Decision-Focused Learning with Directional Gradients NeurIPS 2024 Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs AAAI 2024 DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization ICLR 2024 Decomposable Submodular Maximization in Federated Setting ICML 2024 Decomposable Transformer Point Processes NeurIPS 2024 Decomposing Constraint Networks for Calculating c-Representations AAAI 2024 Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning AAAI 2024