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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
'5
'10
'15
'20
'25

Papers (including subtopics)

Enhancing Language Model Hypernetworks with Restart: A Study on Optimization NAACL 2025 Enhancing Large Language Model Performance with Gradient-Based Parameter Selection AAAI 2025 Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization ICML 2025 Enhancing LLM-as-a-Judge through Active-Sampling-based Prompt Optimization ACL 2025 Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision EMNLP 2025 Enhancing Logits Distillation with Plug&Play Kendall’s $τ$ Ranking Loss ICML 2025 Enhancing Machine Translation with Self-Supervised Preference Data ACL 2025 Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning AAAI 2025 Enhancing Numerical Prediction of MLLMs with Soft Labeling ICCV 2025 Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism COLING 2025 Enhancing Parallelism in Decentralized Stochastic Convex Optimization ICML 2025 Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning IJCAI 2025 Enhancing Prediction Performance through Influence Measure ICLR 2025 Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition AAAI 2025 Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models ICML 2025 Enhancing Robust Fairness via Confusional Spectral Regularization ICLR 2025 Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing ICML 2025 Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions EMNLP 2025 Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild CVPR 2025 Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks ICML 2025 Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025 Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists ACL 2025 Enhancing Transformers for Generalizable First-Order Logical Entailment ACL 2025 Enhancing Transformers Through Conditioned Embedded Tokens ICCV 2025 Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective ICML 2025