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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)

Multimodal Learning Using Optimal Transport for Sarcasm and Humor Detection WACV 2022 Multi-Mode Deep Matrix and Tensor Factorization ICLR 2022 Multi-objective Bayesian optimization over high-dimensional search spaces UAI 2022 Multi-objective Deep Data Generation with Correlated Property Control NeurIPS 2022 Multi-Objective Deep Learning with Adaptive Reference Vectors NeurIPS 2022 Multi-objective Optimization by Learning Space Partition ICLR 2022 Multi-objective Representation Learning for Scientific Document Retrieval COLING 2022 Multi-Path Transformer is Better: A Case Study on Neural Machine Translation EMNLP 2022 Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications IJCAI 2022 Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022 Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data ACML 2022 Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms ICML 2022 Multiple-Splitting Projection Test for High-Dimensional Mean Vectors JMLR 2022 Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach JMLR 2022 Multi-Proxy Learning from an Entropy Optimization Perspective IJCAI 2022 Multirate Training of Neural Networks ICML 2022 Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network AAAI 2022 Multi-scale Feature Learning Dynamics: Insights for Double Descent ICML 2022 Multi-source wideband DOA estimation method by frequency focusing and error weighting Interspeech 2022 Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve NeurIPS 2022 Multi-Task Learning as a Bargaining Game ICML 2022 Multivariate Quantile Function Forecaster AISTATS 2022 Multi-view Subspace Clustering on Topological Manifold NeurIPS 2022 Multiway Spherical Clustering via Degree-Corrected Tensor Block Models AISTATS 2022 Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space IJCAI 2022