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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting AAAI 2024 Optimizing Watermarks for Large Language Models ICML 2024 OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models ICML 2024 Oracle Efficient Algorithms for Groupwise Regret ICLR 2024 Oracle-Efficient Differentially Private Learning with Public Data NeurIPS 2024 Oracle-Efficient Hybrid Online Learning with Unknown Distribution COLT 2024 Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits AISTATS 2024 Orbit-Equivariant Graph Neural Networks ICLR 2024 Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling NeurIPS 2024 Ordered Momentum for Asynchronous SGD NeurIPS 2024 Order of Magnitude Speedups for LLM Membership Inference EMNLP 2024 Order-Preserving GFlowNets ICLR 2024 Ordinal Classification With Distance Regularization for Robust Brain Age Prediction WACV 2024 ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024 OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning CVPR 2024 Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles AISTATS 2024 Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations Interspeech 2024 OTMatch: Improving Semi-Supervised Learning with Optimal Transport ICML 2024 OTOcc: Optimal Transport for Occupancy Prediction IJCAI 2024 OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection ACL 2024 Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport NeurIPS 2024 Outlier-robust Kalman Filtering through Generalised Bayes ICML 2024 Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization ICLR 2024 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity ICML 2024 Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024