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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)

Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL EMNLP 2025 Improving NMT Models by Retrofitting Quality Estimators into Trainable Energy Loss COLING 2025 Improving Noise Efficiency in Privacy-preserving Dataset Distillation ICCV 2025 Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces ICML 2025 Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks AAAI 2025 Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection IJCAI 2025 Improving Preference Alignment of LLM with Inference-Free Self-Refinement EMNLP 2025 Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching ICLR 2025 Improving Rectified Flow with Boundary Conditions ICCV 2025 Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity CVPR 2025 Improving Stochastic Cubic Newton with Momentum AISTATS 2025 Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics ACL 2025 Improving the Scaling Laws of Synthetic Data with Deliberate Practice ICML 2025 Improving the Statistical Efficiency of Cross-Conformal Prediction ICML 2025 Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling CVPR 2025 Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking AAAI 2025 Improving Uncertainty Estimation through Semantically Diverse Language Generation ICLR 2025 Improving Uncertainty Estimation with Confidence-Aware Training Data WACV 2025 Improving Value Estimation Critically Enhances Vanilla Policy Gradient ICML 2025 Improving Your Model Ranking on Chatbot Arena by Vote Rigging ICML 2025 Inapproximability of Optimal Multi-Agent Pathfinding Problems AAAI 2025 In Benchmarks We Trust ... Or Not? EMNLP 2025 In-Context Deep Learning via Transformer Models ICML 2025 In-Context Editing: Learning Knowledge from Self-Induced Distributions ICLR 2025 In-Context Learning and Occam’s Razor ICML 2025