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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)

Modeling Uncertainty with Hedged Instance Embeddings ICLR 2019 Modeling Word Emotion in Historical Language: Quantity Beats Supposed Stability in Seed Word Selection NAACL 2019 Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks NAACL 2019 Modelling Stopping Criteria for Search Results using Poisson Processes EMNLP 2019 Modelling Uncertainty in Collaborative Document Quality Assessment EMNLP 2019 Model Selection for Contextual Bandits NeurIPS 2019 Model Selection in Bayesian Neural Networks via Horseshoe Priors JMLR 2019 Model Selection via the VC Dimension JMLR 2019 Model Similarity Mitigates Test Set Overuse NeurIPS 2019 Mode Normalization ICLR 2019 Moment-Based Variational Inference for Markov Jump Processes ICML 2019 Moment Matching for Multi-Source Domain Adaptation ICCV 2019 Momentum-Based Variance Reduction in Non-Convex SGD NeurIPS 2019 Monge blunts Bayes: Hardness Results for Adversarial Training ICML 2019 Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors AAAI 2019 Monotone Learning with Rectified Wire Networks JMLR 2019 Moral Permissibility of Action Plans AAAI 2019 More Efficient Off-Policy Evaluation through Regularized Targeted Learning ICML 2019 Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition CVPR 2019 MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty MIDL 2019 Multi-Agent Coordination under Uncertain Communication AAAI 2019 Multiagent Evaluation under Incomplete Information NeurIPS 2019 Multiclass Boosting: Margins, Codewords, Losses, and Algorithms JMLR 2019 Multiclass Learning from Contradictions NeurIPS 2019 Multi-Class Learning using Unlabeled Samples: Theory and Algorithm IJCAI 2019