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)

Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise NeurIPS 2024 Stochastic Optimal Control for Diffusion Bridges in Function Spaces NeurIPS 2024 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NeurIPS 2024 Stochastic Optimization with Arbitrary Recurrent Data Sampling ICML 2024 Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions ICML 2024 Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates JMLR 2024 Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024 Stochastic Weakly Convex Optimization beyond Lipschitz Continuity ICML 2024 Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity NeurIPS 2024 Stopping Bayesian Optimization with Probabilistic Regret Bounds NeurIPS 2024 Strategic Aspects of Stable Matching Markets: A Survey IJCAI 2024 Strategic Linear Contextual Bandits NeurIPS 2024 Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract) AAAI 2024 Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems AAAI 2024 Structural Entropy Based Graph Structure Learning for Node Classification AAAI 2024 Structural Inference of Dynamical Systems with Conjoined State Space Models NeurIPS 2024 Structural perspective on constraint-based learning of Markov networks AISTATS 2024 Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024 Structured Transforms Across Spaces with Cost-Regularized Optimal Transport AISTATS 2024 Studying the Interplay between Information Loss and Operation Loss in Representations for Classification JMLR 2024 Submodular framework for structured-sparse optimal transport ICML 2024 Submodular information selection for hypothesis testing with misclassification penalties L4DC 2024 Submodular Minimax Optimization: Finding Effective Sets AISTATS 2024 Submodular Reinforcement Learning ICLR 2024 Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024