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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)

Reducing Exploration of Dying Arms in Mortal Bandits UAI 2019 Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function ACL 2019 Reducing Noise in GAN Training with Variance Reduced Extragradient NeurIPS 2019 Reducing the variance in online optimization by transporting past gradients NeurIPS 2019 Reducing training time by efficient localized kernel regression AISTATS 2019 Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition CVPR 2019 Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning JMLR 2019 Refined Complexity of PCA with Outliers ICML 2019 Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities AAAI 2019 Reflective and Fluorescent Separation Under Narrow-Band Illumination CVPR 2019 Region-Based Active Learning AISTATS 2019 Region Mutual Information Loss for Semantic Segmentation NeurIPS 2019 Region Proposal by Guided Anchoring CVPR 2019 Regret Bounds for Learning State Representations in Reinforcement Learning NeurIPS 2019 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function NeurIPS 2019 Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives NeurIPS 2019 RegularFace: Deep Face Recognition via Exclusive Regularization CVPR 2019 Regularization in directable environments with application to Tetris ICML 2019 Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel NeurIPS 2019 Regularization via Mass Transportation JMLR 2019 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019 Regularized Contextual Bandits AISTATS 2019 Regularized Evolution for Image Classifier Architecture Search AAAI 2019 Regularized Gradient Boosting NeurIPS 2019