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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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Papers (including subtopics)

A Computational Approach to Quantifying Grammaticization of English Deverbal Prepositions COLING 2024 A Computational Framework for Solving Wasserstein Lagrangian Flows ICML 2024 A Computation-Aware Shape Loss Function for Point Cloud Completion AAAI 2024 A connection between Tempering and Entropic Mirror Descent ICML 2024 A Controlled Reevaluation of Coreference Resolution Models COLING 2024 Acoustical analysis of the initial phones in speech-laugh Interspeech 2024 Acoustic changes in speech prosody produced by children with autism after robot-assisted speech training Interspeech 2024 ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints ICML 2024 A Cross-Domain Benchmark for Active Learning NeurIPS 2024 ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation NeurIPS 2024 Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NeurIPS 2024 Activating Self-Attention for Multi-Scene Absolute Pose Regression NeurIPS 2024 Activation-Descent Regularization for Input Optimization of ReLU Networks ICML 2024 Active, anytime-valid risk controlling prediction sets NeurIPS 2024 Active Classification with Few Queries under Misspecification NeurIPS 2024 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NeurIPS 2024 Active Learning of General Halfspaces: Label Queries vs Membership Queries NeurIPS 2024 Active learning of neural population dynamics using two-photon holographic optogenetics NeurIPS 2024 Active Learning with Simple Questions COLT 2024 Active Preference Learning for Large Language Models ICML 2024 Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference NeurIPS 2024 Active Statistical Inference ICML 2024 A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning AISTATS 2024 A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models ACL 2024 AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution AAAI 2024