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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)

A unified theory for the origin of grid cells through the lens of pattern formation NeurIPS 2019 A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs ICLR 2019 A unified variance-reduced accelerated gradient method for convex optimization NeurIPS 2019 A Unified Weight Learning Paradigm for Multi-view Learning AISTATS 2019 A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise COLT 2019 A Universally Optimal Multistage Accelerated Stochastic Gradient Method NeurIPS 2019 AutoAssist: A Framework to Accelerate Training of Deep Neural Networks NeurIPS 2019 AutoAugment: Learning Augmentation Strategies From Data CVPR 2019 AutoDispNet: Improving Disparity Estimation With AutoML ICCV 2019 Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification ICCV 2019 Automated Machine Learning with Monte-Carlo Tree Search IJCAI 2019 Automated Model Selection with Bayesian Quadrature ICML 2019 Automated Negotiation with Gaussian Process-based Utility Models IJCAI 2019 Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019 Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019 Automatically Composing Representation Transformations as a Means for Generalization ICLR 2019 Automatic Bayesian Density Analysis AAAI 2019 Automatic identification of writers’ intentions: Comparing different methods for predicting relationship goals in online dating profile texts EMNLP 2019 Automatic Posterior Transformation for Likelihood-Free Inference ICML 2019 AutoML from Service Provider’s Perspective: Multi-device, Multi-tenant Model Selection with GP-EI AISTATS 2019 AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text ACL 2019 Autoregressive Policies for Continuous Control Deep Reinforcement Learning IJCAI 2019 Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification ICCV 2019 AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning NAACL 2019 Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation EMNLP 2019