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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)

MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025 MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMs ICCV 2025 MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models EMNLP 2025 MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search EMNLP 2025 MDP Geometry, Normalization and Reward Balancing Solvers AISTATS 2025 MDP: Multidimensional Vision Model Pruning with Latency Constraint CVPR 2025 MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization EMNLP 2025 Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data JMLR 2025 Mean-field analysis of polynomial-width two-layer neural network beyond finite time horizon COLT 2025 Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025 Measuring memorization in language models via probabilistic extraction NAACL 2025 Measuring memorization in RLHF for code completion ICLR 2025 Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches NAACL 2025 Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective ICML 2025 Measuring Social Biases in Masked Language Models by Proxy of Prediction Quality ACL 2025 Measuring Visual Understanding in Telecom domain: Performance Metrics for Image-to-UML conversion using VLMs AACL 2025 Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers ICLR 2025 Mechanism Design for Connecting Regions Under Disruptions AAAI 2025 Mechanism Design for Large Language Models (Extended Abstract) IJCAI 2025 Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning NAACL 2025 Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards EMNLP 2025 MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks CVPR 2025 MemeQA: Holistic Evaluation for Meme Understanding ACL 2025 ME: Modelling Ethical Values for Value Alignment AAAI 2025 Memorization in Language Models through the Lens of Intrinsic Dimension ACL 2025