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

'10

'15

'20

'25

Papers (including subtopics)

Decentralized Convergence to Equilibrium Prices in Trading Networks AAAI 2025 Decentralized Diffusion Models CVPR 2025 Decentralized Online Learning by Selfish Agents in Coalition Formation IJCAI 2025 Decentralized Optimization with Coupled Constraints ICLR 2025 Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization AAAI 2025 Decision Information Meets Large Language Models: The Future of Explainable Operations Research ICLR 2025 Decision Making in Changing Environments: Robustness, Query-Based Learning, and Differential Privacy COLT 2025 Decision Making in Hybrid Environments: A Model Aggregation Approach COLT 2025 Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets ICML 2025 Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network AAAI 2025 Decomposing Inconsistencies: Marginal Contributions and Pooling Techniques IJCAI 2025 Decouple and Decompose: Scaling Resource Allocation with DeDe OSDI 2025 De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs ICML 2025 Decoupled Search for the Masses: A Novel Task Transformation for Classical Planning (Extended Abstract) IJCAI 2025 Decoupled SGDA for Games with Intermittent Strategy Communication ICML 2025 Decoupling Training-Free Guided Diffusion by ADMM CVPR 2025 Deep Clustering via Probabilistic Ratio-Cut Optimization AISTATS 2025 Deep Generative Model for Mechanical System Configuration Design AAAI 2025 Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions ICML 2025 Deletion Robust Non-Monotone Submodular Maximization over Matroids JMLR 2025 DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning AAAI 2025 De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025 Dense Match Summarization for Faster Two-view Estimation CVPR 2025 Densest k-Subgraph Mining via a Provably Tight Relaxation AAAI 2025 Density-Dependent Group Testing AISTATS 2025