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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)

Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable AAAI 2019 Quality Aware Generative Adversarial Networks NeurIPS 2019 Quantification Under Prior Probability Shift: the Ratio Estimator and its Extensions JMLR 2019 Quantifying Generalization in Reinforcement Learning ICML 2019 Quantifying the morphosyntactic content of Brown Clusters NAACL 2019 Quantifying Uncertainty in Online Regression Forests JMLR 2019 Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization ICML 2019 Quantity doesn’t buy quality syntax with neural language models EMNLP 2019 Quantization Networks CVPR 2019 Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection NeurIPS 2019 Quasi-Globally Optimal and Efficient Vanishing Point Estimation in Manhattan World ICCV 2019 Quasi-Newton Trust Region Policy Optimization CoRL 2019 Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach ICLR 2019 Racial Bias in Hate Speech and Abusive Language Detection Datasets ACL 2019 Rademacher Complexity for Adversarially Robust Generalization ICML 2019 Radial Distortion Triangulation CVPR 2019 Random deep neural networks are biased towards simple functions NeurIPS 2019 Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics JMLR 2019 Random Feature Maps for the Itemset Kernel AAAI 2019 Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning IJCAI 2019 Randomized Iterative Algorithms for Fisher Discriminant Analysis UAI 2019 Randomized Strategies for Robust Combinatorial Optimization AAAI 2019 Randomized Wagering Mechanisms AAAI 2019 Random Search and Reproducibility for Neural Architecture Search UAI 2019 Random Shuffling Beats SGD after Finite Epochs ICML 2019