Quantile Regression Under Memory Constraint

18 October 2018

Papers citing "Quantile Regression Under Memory Constraint"

13 / 13 papers shown

Title
Distributed inference for quantile regression processes S. Volgushev Shih-Kang Chao Guang Cheng 498 131 0 21 Jan 2017
Efficient Distributed Learning with Sparsity Jialei Wang Mladen Kolar Nathan Srebro Tong Zhang FedML 69 152 0 25 May 2016
A Massive Data Framework for M-Estimators with Cubic-Rate C. Shi Wenbin Lu Rui Song 246 74 0 24 May 2016
Divide and Conquer in Non-standard Problems and the Super-efficiency Phenomenon Moulinath Banerjee C. Durot B. Sen 253 64 0 14 May 2016
Distributed Estimation and Inference with Statistical Guarantees Heather Battey Jianqing Fan Han Liu Junwei Lu Ziwei Zhu 74 83 0 17 Sep 2015
Parallelizing MCMC with Random Partition Trees Xiangyu Wang Fangjian Guo Katherine A. Heller David B. Dunson 92 76 0 10 Jun 2015
A Partially Linear Framework for Massive Heterogeneous Data Tianqi Zhao Guang Cheng Han Liu 285 129 0 30 Oct 2014
Communication Efficient Distributed Optimization using an Approximate Newton-type Method Ohad Shamir Nathan Srebro Tong Zhang 95 555 0 30 Dec 2013
Parallelizing MCMC via Weierstrass Sampler Xiangyu Wang David B. Dunson 97 138 0 17 Dec 2013
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates Yuchen Zhang John C. Duchi Martin J. Wainwright 325 379 0 22 May 2013
Censored quantile regression processes under dependence and penalization S. Volgushev J. Wagener Holger Dette 31 10 0 27 Aug 2012
A Scalable Bootstrap for Massive Data Ariel Kleiner Ameet Talwalkar Purnamrita Sarkar Michael I. Jordan 297 410 0 21 Dec 2011
Optimal rates of convergence for covariance matrix estimation Tommaso Cai Cun-Hui Zhang Harrison H. Zhou 167 474 0 19 Oct 2010