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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)

Constrained Fair and Efficient Allocations AAAI 2025 Constrained Generative Modeling with Manually Bridged Diffusion Models AAAI 2025 Constrained Offline Black-Box Optimization via Risk Evaluation and Management AAAI 2025 Constrained Pareto Set Identification with Bandit Feedback ICML 2025 Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design IJCAI 2025 Constrained Sequential Inference in Machine Learning Using Constraint Programming IJCAI 2025 Constrained Serial Dictatorships Can Be Fair IJCAI 2025 Constrained Style Learning from Imperfect Demonstrations under Task Optimality CoRL 2025 Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing CoRL 2025 ConstraintLLM: A Neuro-Symbolic Framework for Industrial-Level Constraint Programming EMNLP 2025 Constraint Optimisation Approaches for Designing Group-Living Captive Breeding Programmes AAAI 2025 Constraint-Preserving Data Generation for One-Shot Visuomotor Policy Generalization CoRL 2025 Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets ICLR 2025 Constructing Your Model’s Value Distinction: Towards LLM Alignment with Anchor Words Tuning EMNLP 2025 Contamination Budget: Trade-offs Between Breadth, Depth and Difficulty IJCAI 2025 Context-aware Biases for Length Extrapolation EMNLP 2025 Context-aware Dynamic Pruning for Speech Foundation Models ICLR 2025 Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement WACV 2025 Context Guided Transformer Entropy Modeling for Video Compression ICCV 2025 Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits AAAI 2025 Contextual Bandits for Unbounded Context Distributions ICML 2025 Contextual Bandits with Stage-wise Constraints JMLR 2025 Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy NAACL 2025 Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach ICML 2025 Contextual Stochastic Optimization for School Desegregation Policymaking AAAI 2025