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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)

Evaluating and Aligning Human Economic Risk Preferences in LLMs EMNLP 2025 Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text COLING 2025 Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework NAACL 2025 Evaluating LLM Reasoning in the Operations Research Domain with ORQA AAAI 2025 Evaluating LLMs’ Reasoning Over Ordered Procedural Steps IJCNLP 2025 Evaluating LLMs with Multiple Problems at once ACL 2025 Evaluating Mathematical Reasoning Beyond Accuracy AAAI 2025 Evaluating Morphological Compositional Generalization in Large Language Models NAACL 2025 Evaluating Numeracy of Language Models as a Natural Language Inference Task NAACL 2025 Evaluating Robustness of LLMs to Numerical Variations in Mathematical Reasoning NAACL 2025 Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective ICLR 2025 Evaluating Sensitivity Consistency of Explanations WACV 2025 Evaluating Sequence Labeling on the basis of Information Theory ACL 2025 Evaluating Step-by-step Reasoning Traces: A Survey EMNLP 2025 Evaluating the Consistency of LLM Evaluators COLING 2025 Evaluating the Evaluators: Are readability metrics good measures of readability? EMNLP 2025 Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models EMNLP 2025 Evaluation and Incident Prevention in an Enterprise AI Assistant AAAI 2025 Evaluation Sheet for Deep Research: A Use Case for Academic Survey Writing EMNLP 2025 Even-if Explanations: Formal Foundations, Priorities and Complexity AAAI 2025 Event-Driven Online Vertical Federated Learning ICLR 2025 Every Bit Helps: Achieving the Optimal Distortion with a Few Queries AAAI 2025 Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants AISTATS 2025 Everything Matters in Programmable Packet Scheduling NSDI 2025 EvoAgentX: An Automated Framework for Evolving Agentic Workflows EMNLP 2025