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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)

Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025 Logarithmic Regret for Nonlinear Control L4DC 2025 Logarithmic Regret for Online KL-Regularized Reinforcement Learning ICML 2025 Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit ALT 2025 Logarithmic Width Suffices for Robust Memorization COLT 2025 Logical forms complement probability in understanding language model (and human) performance ACL 2025 Logically Constrained Decoding EMNLP 2025 Logical Reasoning with Outcome Reward Models for Test-Time Scaling EMNLP 2025 Logic-Logit: A Logic-Based Approach to Choice Modeling ICLR 2025 LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models EMNLP 2025 LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning EMNLP 2025 Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems EMNLP 2025 LOGO — Long cOntext aliGnment via efficient preference Optimization ICML 2025 LogRules: Enhancing Log Analysis Capability of Large Language Models through Rules NAACL 2025 Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning ICML 2025 LOIRE: LifelOng learning on Incremental data via pre-trained language model gRowth Efficiently ICLR 2025 LoLCATs: On Low-Rank Linearizing of Large Language Models ICLR 2025 LongAttn: Selecting Long-context Training Data via Token-level Attention ACL 2025 Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition EMNLP 2025 Long-Context Linear System Identification ICLR 2025 LongDiff: Training-Free Long Video Generation in One Go CVPR 2025 LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information ACL 2025 Longhorn: State Space Models are Amortized Online Learners ICLR 2025 LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement ICLR 2025 LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization ICLR 2025