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On statistics, computation and scalability

On statistics, computation and scalability

30 September 2013
Michael I. Jordan
ArXiv (abs)PDFHTML

Papers citing "On statistics, computation and scalability"

16 / 16 papers shown
Title
Parallel-and-stream accelerator for computationally fast supervised
  learning
Parallel-and-stream accelerator for computationally fast supervised learning
Emily C. Hector
Lan Luo
P. Song
26
6
0
29 Oct 2021
Expanding the scope of statistical computing: Training statisticians to
  be software engineers
Expanding the scope of statistical computing: Training statisticians to be software engineers
A. Reinhart
Christopher R. Genovese
24
9
0
30 Dec 2019
Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning
Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning
Robin Vogel
A. Bellet
Stephan Clémençon
Ons Jelassi
Guillaume Papa
23
1
0
21 Jun 2019
Goodness-of-Fit Tests for Large Datasets
Goodness-of-Fit Tests for Large Datasets
Taras Lazariv
C. Lehmann
18
9
0
23 Oct 2018
Toward Understanding the Impact of Staleness in Distributed Machine
  Learning
Toward Understanding the Impact of Staleness in Distributed Machine Learning
Wei-Ming Dai
Yi Zhou
Nanqing Dong
Huatian Zhang
Eric Xing
67
82
0
08 Oct 2018
Robust classification via MOM minimization
Robust classification via MOM minimization
Guillaume Lecué
M. Lerasle
Timlothée Mathieu
107
50
0
09 Aug 2018
Distributed Statistical Estimation and Rates of Convergence in Normal
  Approximation
Distributed Statistical Estimation and Rates of Convergence in Normal Approximation
Stanislav Minsker
Nate Strawn
83
67
0
09 Apr 2017
Statistical and Computational Tradeoff in Genetic Algorithm-Based
  Estimation
Statistical and Computational Tradeoff in Genetic Algorithm-Based Estimation
Manuel Rizzo
F. Battaglia
41
2
0
25 Mar 2017
Distributed inference for quantile regression processes
Distributed inference for quantile regression processes
S. Volgushev
Shih-Kang Chao
Guang Cheng
534
131
0
21 Jan 2017
Quasi-stationary Monte Carlo and the ScaLE Algorithm
Quasi-stationary Monte Carlo and the ScaLE Algorithm
M. Pollock
Paul Fearnhead
A. M. Johansen
Gareth O. Roberts
98
18
0
12 Sep 2016
Fast Algorithms for Segmented Regression
Fast Algorithms for Segmented Regression
Jayadev Acharya
Ilias Diakonikolas
Jerry Li
Ludwig Schmidt
75
33
0
14 Jul 2016
Random Forests for Big Data
Random Forests for Big Data
Robin Genuer
Jean-Michel Poggi
Christine Tuleau-Malot
N. Villa-Vialaneix
76
309
0
26 Nov 2015
Optimal prediction for sparse linear models? Lower bounds for
  coordinate-separable M-estimators
Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators
Yuchen Zhang
Martin J. Wainwright
Michael I. Jordan
162
43
0
11 Mar 2015
Statistical Methods and Computing for Big Data
Statistical Methods and Computing for Big Data
Chun Wang
Ming-Hui Chen
E. Schifano
Jing Wu
Jun Yan
85
129
0
27 Feb 2015
Sketch and Validate for Big Data Clustering
Sketch and Validate for Big Data Clustering
Panagiotis A. Traganitis
Konstantinos Slavakis
G. Giannakis
41
29
0
22 Jan 2015
Ergodicity of Approximate MCMC Chains with Applications to Large Data
  Sets
Ergodicity of Approximate MCMC Chains with Applications to Large Data Sets
Natesh S. Pillai
Aaron Smith
99
59
0
01 May 2014
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