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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)

Query-Efficient Correlation Clustering with Noisy Oracle NeurIPS 2024 Queueing Matching Bandits with Preference Feedback NeurIPS 2024 QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs NeurIPS 2024 R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction NeurIPS 2024 RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks NeurIPS 2024 Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency ICML 2024 Random features approximation for control-affine systems L4DC 2024 Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NeurIPS 2024 Randomized Confidence Bounds for Stochastic Partial Monitoring ICML 2024 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Randomized Learning-Augmented Auctions with Revenue Guarantees IJCAI 2024 Randomized Strategic Facility Location with Predictions NeurIPS 2024 Randomized Truthful Auctions with Learning Agents NeurIPS 2024 Random matrix theory improved Fréchet mean of symmetric positive definite matrices ICML 2024 Random Scaling and Momentum for Non-smooth Non-convex Optimization ICML 2024 Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024 Random Subgraph Detection Using Queries JMLR 2024 Rate-Optimal Policy Optimization for Linear Markov Decision Processes ICML 2024 Reachability of Fair Allocations via Sequential Exchanges AAAI 2024 Real-Time Selection Under General Constraints via Predictive Inference NeurIPS 2024 Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment IJCAI 2024 Reasoning about Network Traffic Load Property at Production Scale NSDI 2024 Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents NeurIPS 2024 Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization AAAI 2024 Recovery Guarantees for Distributed-OMP AISTATS 2024