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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)

Computing High-dimensional Confidence Sets for Arbitrary Distributions COLT 2025 Computing Optimal Regularizers for Online Linear Optimization COLT 2025 Computing Quasi-Nash Equilibria via Gradient-Response Schemes L4DC 2025 Concentration of Cumulative Reward in Markov Decision Processes JMLR 2025 ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning ICLR 2025 ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025 ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models EMNLP 2025 CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025 Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation ICLR 2025 Conditional Diffusion Models Based Conditional Independence Testing AAAI 2025 Conditional diffusions for amortized neural posterior estimation AISTATS 2025 Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning IJCAI 2025 Conditional Information Bottleneck-Based Multivariate Time Series Forecasting IJCAI 2025 Conditional Multi-Stage Failure Recovery for Embodied Agents ACL 2025 Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps AISTATS 2025 Conditional Testing based on Localized Conformal p-values ICLR 2025 Confidence-Aware Reasoning: Optimizing Self-Guided Thinking Trajectories in Large Reasoning Models EMNLP 2025 Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint) IJCAI 2025 Confidence Calibration in Large Language Model-Based Entity Matching EMNLP 2025 Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification ICML 2025 ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks ICLR 2025 Conflicting Needles in a Haystack: How LLMs behave when faced with contradictory information EMNLP 2025 Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering ICLR 2025 Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates AAAI 2025 Conformalized Answer Set Prediction for Knowledge Graph Embedding NAACL 2025