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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)

Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution ICML 2025 Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction IJCAI 2025 Collaborative Prediction: To Join or To Disjoin Datasets UAI 2025 Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration CVPR 2025 Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World ICML 2025 Column-Oriented Datalog on the GPU AAAI 2025 COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement IJCAI 2025 Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection ICLR 2025 Combining Climate Models using Bayesian Regression Trees and Random Paths JMLR 2025 Combining Constrained and Unconstrained Decoding via Boosting: BoostCD and Its Application to Information Extraction EMNLP 2025 Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025 CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation CVPR 2025 COME: Test-time Adaption by Conservatively Minimizing Entropy ICLR 2025 COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks AAAI 2025 CoMMIT: Coordinated Multimodal Instruction Tuning EMNLP 2025 Commitment to Sparse Strategies in Two-Player Games AAAI 2025 Commute Graph Neural Networks ICML 2025 CompAct: Compressed Activations for Memory-Efficient LLM Training NAACL 2025 Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization ACL 2025 Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method ICML 2025 Comparing noisy neural population dynamics using optimal transport distances ICLR 2025 ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty ACL 2025 CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward EMNLP 2025 Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training ICML 2025 Competing Bandits in Matching Markets via Super Stability ICML 2025