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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)

POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation CVPR 2025 Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search ICML 2025 PowerMLP: An Efficient Version of KAN AAAI 2025 PoWER Never Corrupts: Tool-Agnostic Verification of Crash Consistency and Corruption Detection OSDI 2025 PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation ICLR 2025 PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction CVPR 2025 PQR: Improving Dense Retrieval via Potential Query Modeling ACL 2025 PRDP: Progressively Refined Differentiable Physics ICLR 2025 Pre3: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation ACL 2025 Preble: Efficient Distributed Prompt Scheduling for LLM Serving ICLR 2025 Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers JMLR 2025 Precise Integral in NeRFs: Overcoming the Approximation Errors of Numerical Quadrature WACV 2025 Preconditioned Riemannian Gradient Descent Algorithm for Low-Multilinear-Rank Tensor Completion ICML 2025 Preconditioners for the Stochastic Training of Neural Fields CVPR 2025 Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings ACL 2025 Predicate-Guided Generation for Mathematical Reasoning EMNLP 2025 Predicting Fine-tuned Performance on Larger Datasets Before Creating Them COLING 2025 Predicting quantum channels over general product distributions COLT 2025 Predicting the Predictable in the Psychiatric High Risk MLHC 2025 Predicting the Susceptibility of Examples to Catastrophic Forgetting ICML 2025 Prediction-Centric Uncertainty Quantification via MMD AISTATS 2025 Prediction-Feedback DETR for Temporal Action Detection AAAI 2025 Prediction Hubs are Context-Informed Frequent Tokens in LLMs ACL 2025 Prediction models that learn to avoid missing values ICML 2025 Prediction-Powered Adaptive Shrinkage Estimation ICML 2025