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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)

Subspace Robust Wasserstein Distances ICML 2019 Subspace Selection via DR-Submodular Maximization on Lattices AAAI 2019 Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NeurIPS 2019 Summary Level Training of Sentence Rewriting for Abstractive Summarization EMNLP 2019 Supervised Community Detection with Line Graph Neural Networks ICLR 2019 Supervised User Ranking in Signed Social Networks AAAI 2019 Support and Invertibility in Domain-Invariant Representations AISTATS 2019 Surfing: Iterative Optimization Over Incrementally Trained Deep Networks NeurIPS 2019 Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization ICML 2019 Surveys without Questions: A Reinforcement Learning Approach AAAI 2019 SWALP : Stochastic Weight Averaging in Low Precision Training ICML 2019 Switching Linear Dynamics for Variational Bayes Filtering ICML 2019 Symmetric Cross Entropy for Robust Learning With Noisy Labels ICCV 2019 SySCD: A System-Aware Parallel Coordinate Descent Algorithm NeurIPS 2019 Systematic Generalization: What Is Required and Can It Be Learned? ICLR 2019 Systematic Handling of Heterogeneous Geometric Primitives in Graph-SLAM Optimization RSS 2019 Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation CVPR 2019 Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019 TAPAS: Train-Less Accuracy Predictor for Architecture Search AAAI 2019 Target-Based Temporal-Difference Learning ICML 2019 Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation ACL 2019 Target Tracking for Contextual Bandits: Application to Demand Side Management ICML 2019 Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization AAAI 2019 Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation ACL 2019 T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition AAAI 2019