Factorisable Multitask Quantile Regression

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Factorisable Multitask Quantile Regression

14 July 2015

Wolfgang Karl Härdle

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Papers citing "Factorisable Multitask Quantile Regression"

16 / 16 papers shown

Title
Reexamining Low Rank Matrix Factorization for Trace Norm Regularization C. Ciliberto Dimitris Stamos Massimiliano Pontil 92 10 0 27 Jun 2017
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning Niloofar Yousefi Yunwen Lei Marius Kloft M. Mollaghasemi G. Anagnostopoulos 67 29 0 18 Feb 2016
The Benefit of Multitask Representation Learning Andreas Maurer Massimiliano Pontil Bernardino Romera-Paredes SSL 109 376 0 23 May 2015
High-order Composite Likelihood Inference for Max-Stable Distributions and Processes S. Castruccio Raphael Huser M. Genton TPM 205 111 0 01 Nov 2014
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models E. Kaufmann Olivier Cappé Aurélien Garivier 204 1,028 0 16 Jul 2014
A useful variant of the Davis--Kahan theorem for statisticians Yi Yu Tengyao Wang R. Samworth 103 579 0 04 May 2014
Excess risk bounds for multitask learning with trace norm regularization Andreas Maurer Massimiliano Pontil 132 115 0 06 Dec 2012
Sparse Vector Autoregressive Modeling Richard A. Davis P. Zang Tian Zheng 136 206 0 02 Jul 2012
Conditional Quantile Processes based on Series or Many Regressors A. Belloni Victor Chernozhukov Denis Chetverikov Iván Fernández�?Val 167 42 0 31 May 2011
Nuclear norm penalization and optimal rates for noisy low rank matrix completion V. Koltchinskii Alexandre B. Tsybakov Karim Lounici 228 664 0 29 Nov 2010
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 479 1,379 0 13 Oct 2010
Smoothing proximal gradient method for general structured sparse regression Xinyu Chen Qihang Lin Seyoung Kim J. Carbonell Eric Xing 158 231 0 26 May 2010
How close is the sample covariance matrix to the actual covariance matrix? Roman Vershynin 128 289 0 20 Apr 2010
Optimal selection of reduced rank estimators of high-dimensional matrices F. Bunea Yiyuan She M. Wegkamp 251 242 0 18 Apr 2010
Estimation of (near) low-rank matrices with noise and high-dimensional scaling S. Negahban Martin J. Wainwright 239 571 0 27 Dec 2009
Quantile and Probability Curves Without Crossing Victor Chernozhukov Iván Fernández-Val Alfred Galichon 614 522 0 27 Apr 2007