model averaging

A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication NeurIPS 2018 Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018 Marian: Cost-effective High-Quality Neural Machine Translation in C++ ACL 2018 Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification JMLR 2018 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging JMLR 2018 Communication-Efficient Learning of Deep Networks from Decentralized Data AISTATS 2017 Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017 Bootstrap Model Aggregation for Distributed Statistical Learning NeurIPS 2016 Compressed Gaussian Process for Manifold Regression JMLR 2016 Diversity-Promoting Bayesian Learning of Latent Variable Models ICML 2016 DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection CVPR 2015 Maxout Networks ICML 2013 Understanding Dropout NeurIPS 2013 Bayesian Classifier Combination AISTATS 2012 Greedy Model Averaging NeurIPS 2011 A Parameter-Free Classification Method for Large Scale Learning JMLR 2009 Managing Diversity in Regression Ensembles JMLR 2005 Model Averaging for Prediction with Discrete Bayesian Networks JMLR 2004 Learning Equivalence Classes of Bayesian-Network Structures JMLR 2002