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Optimization

14,850 papers (55 classified directly here)

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

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

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16
133
440
1,353
1,441
2000
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Papers (including subtopics)

Bandit Online Linear Optimization with Hints and Queries ICML 2023 Bandit problems with fidelity rewards JMLR 2023 Bandit Social Learning under Myopic Behavior NeurIPS 2023 Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments RSS 2023 Bandits with Knapsacks: Advice on Time-Varying Demands ICML 2023 Bandit Task Assignment with Unknown Processing Time NeurIPS 2023 Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning ICML 2023 BANSAC: A Dynamic BAyesian Network for Adaptive SAmple Consensus ICCV 2023 BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning IJCAI 2023 Batch Bayesian Optimization For Replicable Experimental Design NeurIPS 2023 Bayesian Active Causal Discovery with Multi-Fidelity Experiments NeurIPS 2023 Bayesian Design Principles for Frequentist Sequential Learning ICML 2023 Bayesian Optimisation of Functions on Graphs NeurIPS 2023 Bayesian Optimization-Based Combinatorial Assignment AAAI 2023 Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023 Bayesian Strategy-Proof Facility Location via Robust Estimation AISTATS 2023 Best Arm Identification in Multi-Agent Multi-Armed Bandits ICML 2023 Best-of-Both-Worlds Algorithms for Partial Monitoring ALT 2023 Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret L4DC 2023 Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm COLT 2023 Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds COLT 2023 Betty: An Automatic Differentiation Library for Multilevel Optimization ICLR 2023 Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework AAAI 2023 Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization ICML 2023 Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time NeurIPS 2023