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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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'25

Papers (including subtopics)

Reinforced Lifelong Editing for Language Models ICML 2025 Reinforced Query Reasoners for Reasoning-intensive Retrieval Tasks EMNLP 2025 Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile Chargers IJCAI 2025 Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs AISTATS 2025 Reinforcement Learning for Large Language Models via Group Preference Reward Shaping EMNLP 2025 Reinforcement Learning for Quantum Control under Physical Constraints ICML 2025 Reinforcement learning with combinatorial actions for coupled restless bandits ICLR 2025 Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control AISTATS 2025 Reinforcement Learning with Random Time Horizons ICML 2025 Rejecting Hallucinated State Targets during Planning ICML 2025 Relational Invariant Learning for Robust Solvation Free Energy Prediction ICML 2025 Relational Neurosymbolic Markov Models AAAI 2025 Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025 Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation AAAI 2025 Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization JMLR 2025 Relevance Scores Calibration for Ranked List Truncation via TMP Adapter ACL 2025 Reliability Crisis of Reference-free Metrics for Grammatical Error Correction EMNLP 2025 Reliability of Distribution Predictions by LLMs: Insights from Counterintuitive Pseudo-Distributions NAACL 2025 Reliability of Topic Modeling NAACL 2025 Reliable Algorithm Selection for Machine Learning-Guided Design ICML 2025 Reliable and Calibrated Semantic Occupancy Prediction by Hybrid Uncertainty Learning IJCAI 2025 Reliable and Efficient Amortized Model-based Evaluation ICML 2025 ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments EMNLP 2025 Reliable Evaluation and Benchmarks for Statement Autoformalization EMNLP 2025 Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction AAAI 2025