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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

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

CORAL: Learning Consistent Representations across Multi-step Training with Lighter Speculative Drafter ACL 2025 CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation NAACL 2025 Coreset Selection via Reducible Loss in Continual Learning ICLR 2025 Correcting Large Language Model Behavior via Influence Function AAAI 2025 Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization ICLR 2025 Correlated Quantization for Faster Nonconvex Distributed Optimization UAI 2025 Correspondence-Free Fast and Robust Spherical Point Pattern Registration ICCV 2025 Corrupted Learning Dynamics in Games COLT 2025 Corruption-Robust Variance-aware Algorithms for Generalized Linear Bandits under Heavy-tailed Rewards UAI 2025 COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism AAAI 2025 Cost-aware Discovery of Contextual Failures using Bayesian Active Learning CoRL 2025 Cost-Aware Near-Optimal Policy Learning AAAI 2025 Cost-aware simulation-based inference AISTATS 2025 CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and Recognition ICCV 2025 CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference ICLR 2025 CoT-Valve: Length-Compressible Chain-of-Thought Tuning ACL 2025 Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation IJCAI 2025 Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent AAAI 2025 Covariance-Based Space Regularization for Few-Shot Class Incremental Learning WACV 2025 Covariance Selection over Networks AISTATS 2025 Covered Forest: Fine-grained generalization analysis of graph neural networks ICML 2025 Cover learning for large-scale topology representation ICML 2025 CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations COLING 2025 Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization WACV 2025 Creating Coherence in Federated Non-Negative Matrix Factorization AAAI 2025