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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)

Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel ICLR 2023 An Analysis of Goodness of Pronunciation for Child Speech Interspeech 2023 An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks JMLR 2023 An Attribution Method for Siamese Encoders EMNLP 2023 A Natural Bias for Language Generation Models ACL 2023 Anchor Sampling for Federated Learning with Partial Client Participation ICML 2023 A Nearly Tight Bound for Fitting an Ellipsoid to Gaussian Random Points COLT 2023 A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization ACL 2023 An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret AAAI 2023 An Efficient Dataset Condensation Plugin and Its Application to Continual Learning NeurIPS 2023 An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 2023 An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination NeurIPS 2023 An Efficient Speech Separation Network Based on Recurrent Fusion Dilated Convolution and Channel Attention Interspeech 2023 An Empirical Bayes Framework for Open-Domain Dialogue Generation EMNLP 2023 An Empirical Study of Translation Hypothesis Ensembling with Large Language Models EMNLP 2023 A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference NeurIPS 2023 A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs NeurIPS 2023 A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks NeurIPS 2023 A Neural PDE Solver with Temporal Stencil Modeling ICML 2023 A New Challenge in Policy Evaluation AAAI 2023 A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution ICLR 2023 A new ranking scheme for modern data and its application to two-sample hypothesis testing COLT 2023 An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network ICLR 2023 An Experimental Comparison of Multiwinner Voting Rules on Approval Elections IJCAI 2023 An Explainable Forecasting System for Humanitarian Needs Assessment AAAI 2023