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Optimization & Theory

43,292 papers (3 classified directly here)

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

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance ICML 2024 Reinforcement Learning Guided Semi-Supervised Learning NeurIPS 2024 Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity NeurIPS 2024 Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems NeurIPS 2024 Reinforcement Learning within Tree Search for Fast Macro Placement ICML 2024 Reinforcement Learning with Lookahead Information NeurIPS 2024 Reinforcement Learning with Token-level Feedback for Controllable Text Generation NAACL 2024 Reinforcement Symbolic Regression Machine ICLR 2024 ReinforceNS: Reinforcement Learning-based Multi-start Neighborhood Search for Solving the Traveling Thief Problem IJCAI 2024 Reinforcing LLM Agents via Policy Optimization with Action Decomposition NeurIPS 2024 Rejection via Learning Density Ratios NeurIPS 2024 Relational DNN Verification With Cross Executional Bound Refinement ICML 2024 Relational Verification Leaps Forward with RABBit NeurIPS 2024 Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization AAAI 2024 Reliability Estimation of News Media Sources: Birds of a Feather Flock Together NAACL 2024 Reliable Learning of Halfspaces under Gaussian Marginals NeurIPS 2024 Relightable and Animatable Neural Avatar from Sparse-View Video CVPR 2024 ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization NeurIPS 2024 ReLoRA: High-Rank Training Through Low-Rank Updates ICLR 2024 ReLU Network with Width d+O(1) Can Achieve Optimal Approximation Rate ICML 2024 ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models ICLR 2024 ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages ICML 2024 ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models ICML 2024 REMEDI: Corrective Transformations for Improved Neural Entropy Estimation ICML 2024 Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad NeurIPS 2024