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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)

Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks NeurIPS 2019 Gaussian Processes with Linear Operator Inequality Constraints JMLR 2019 Gaussian Process Models of Sound Change in Indo-Aryan Dialectology ACL 2019 Gaussian Process Modulated Cox Processes under Linear Inequality Constraints AISTATS 2019 Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret COLT 2019 Gaussian Regression with Convex Constraints AISTATS 2019 Gaussian Temporal Awareness Networks for Action Localization CVPR 2019 Generalizable Adversarial Training via Spectral Normalization ICLR 2019 Generalization Bounds for Neural Networks via Approximate Description Length NeurIPS 2019 Generalization Bounds in the Predict-then-Optimize Framework NeurIPS 2019 Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks NeurIPS 2019 Generalization Error Analysis of Quantized Compressive Learning NeurIPS 2019 Generalization in Generation: A closer look at Exposure Bias EMNLP 2019 Generalization in multitask deep neural classifiers: a statistical physics approach NeurIPS 2019 Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NeurIPS 2019 Generalization of Reinforcement Learners with Working and Episodic Memory NeurIPS 2019 Generalized Approximate Survey Propagation for High-Dimensional Estimation ICML 2019 Generalized Batch Normalization: Towards Accelerating Deep Neural Networks AAAI 2019 Generalized Distance Bribery AAAI 2019 Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression CVPR 2019 Generalized Majorization-Minimization ICML 2019 Generalized Majorization-Minimization for Non-Convex Optimization IJCAI 2019 Generalized Maximum Entropy Estimation JMLR 2019 Generalized No Free Lunch Theorem for Adversarial Robustness ICML 2019 Generalized Sliced Wasserstein Distances NeurIPS 2019