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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)

CAST: Cross-modal Alignment Similarity Test for Vision Language Models COLING 2025 CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization AutoML 2025 Categorical Semantics of Compositional Reinforcement Learning JMLR 2025 CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines NSDI 2025 Catoni Contextual Bandits are Robust to Heavy-tailed Rewards ICML 2025 Causal Discovery by Interventions via Integer Programming AAAI 2025 Causal Discovery via Bayesian Optimization ICLR 2025 Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments UAI 2025 Causal Effect of Functional Treatment JMLR 2025 CausalGraphBench: a Benchmark for Evaluating Language Models capabilities of Causal Graph discovery ACL 2025 Causal Logistic Bandits with Counterfactual Fairness Constraints ICML 2025 CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models EMNLP 2025 Cautious Next Token Prediction ACL 2025 CBMA: Improving Conformal Prediction through Bayesian Model Averaging ICLR 2025 CDI: Copyrighted Data Identification in Diffusion Models CVPR 2025 CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task EMNLP 2025 Censor Dependent Variational Inference ICML 2025 CER: Confidence Enhanced Reasoning in LLMs ACL 2025 CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning ICML 2025 Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees EMNLP 2025 Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts ICML 2025 Certification for Differentially Private Prediction in Gradient-Based Training ICML 2025 Certification of Speaker Recognition Models to Additive Perturbations AAAI 2025 Certified Causal Defense with Generalizable Robustness AAAI 2025 Certified Machine Unlearning Under High Dimensional Regime JMLR 2025