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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)

Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems AAAI 2025 Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies IJCAI 2025 Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation IJCNLP 2025 Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models IJCNLP 2025 Assessing the Sensitivity and Alignment of FOL Closeness Metrics EMNLP 2025 Assessing the State of the Art in Scene Segmentation NAACL 2025 Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance WACV 2025 AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity EMNLP 2025 Associative memory and dead neurons ICLR 2025 Assumption-lean and data-adaptive post-prediction inference JMLR 2025 A Statistical Approach for Controlled Training Data Detection ICLR 2025 A Statistical Framework for Ranking LLM-based Chatbots ICLR 2025 A statistical perspective on algorithm unrolling models for inverse problems JMLR 2025 A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025 A Stochastic Approach to the Subset Selection Problem via Mirror Descent ICLR 2025 A Structural Complexity Analysis of Hierarchical Task Network Planning IJCAI 2025 A Study on Leveraging Search and Self-Feedback for Agent Reasoning ACL 2025 A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions IJCAI 2025 A Survey of Post-Training Scaling in Large Language Models ACL 2025 A Survey of Quantum Natural Language Processing: From Compositional Models to NISQ-Era Empiricism AACL 2025 A Survey of Structural Entropy: Theory, Methods, and Applications IJCAI 2025 A Survey on Automated Distractor Evaluation in Multiple-Choice Tasks ACL 2025 A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025 Asymmetric Learning for Spectral Graph Neural Networks AAAI 2025 A Symmetric Relative-Error Loss Function for Intermittent Multiscale Signal Modelling IJCAI 2025