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On the Optimality of Averaging in Distributed Statistical Learning
10 July 2014
Jonathan D. Rosenblatt
B. Nadler
FedML
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Papers citing
"On the Optimality of Averaging in Distributed Statistical Learning"
12 / 12 papers shown
Title
Communication-efficient sparse regression: a one-shot approach
Jason D. Lee
Yuekai Sun
Qiang Liu
Jonathan E. Taylor
78
66
0
14 Mar 2015
Distributed Estimation, Information Loss and Exponential Families
Qiang Liu
Alexander Ihler
FedML
70
59
0
09 Oct 2014
Distributed Robust Learning
Jiashi Feng
Huan Xu
Shie Mannor
OOD
90
53
0
21 Sep 2014
A simple scheme for the parallelization of particle filters and its application to the tracking of complex stochastic systems
Dan Crisan
Joaquín Míguez
Gonzalo Rios
89
7
0
30 Jul 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
Communication Efficient Distributed Optimization using an Approximate Newton-type Method
Ohad Shamir
Nathan Srebro
Tong Zhang
95
557
0
30 Dec 2013
Asymptotic behavior of unregularized and ridge-regularized high-dimensional robust regression estimators : rigorous results
N. Karoui
90
109
0
11 Nov 2013
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing
D. Donoho
Andrea Montanari
229
222
0
28 Oct 2013
MLI: An API for Distributed Machine Learning
Evan R. Sparks
Ameet Talwalkar
Virginia Smith
Jey Kottalam
Xinghao Pan
Joseph E. Gonzalez
Michael Franklin
Michael I. Jordan
Tim Kraska
VLM
93
204
0
21 Oct 2013
Geometric median and robust estimation in Banach spaces
Stanislav Minsker
170
311
0
06 Aug 2013
Loss minimization and parameter estimation with heavy tails
Daniel J. Hsu
Sivan Sabato
156
188
0
07 Jul 2013
Piecewise linear regularized solution paths
Saharon Rosset
Ji Zhu
538
522
0
16 Aug 2007
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