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Near-Optimal Discrete Optimization for Experimental Design: A Regret
  Minimization Approach

Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach

14 November 2017
Zeyuan Allen-Zhu
Yuanzhi Li
Aarti Singh
Yining Wang
ArXivPDFHTML

Papers citing "Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach"

6 / 6 papers shown
Title
Reverse iterative volume sampling for linear regression
Reverse iterative volume sampling for linear regression
Michal Derezinski
Manfred K. Warmuth
66
43
0
06 Jun 2018
Greedy Sampling of Graph Signals
Greedy Sampling of Graph Signals
Luiz F. O. Chamon
Alejandro Ribeiro
38
127
0
05 Apr 2017
Spectral Sparsification and Regret Minimization Beyond Matrix
  Multiplicative Updates
Spectral Sparsification and Regret Minimization Beyond Matrix Multiplicative Updates
Zeyuan Allen-Zhu
Zhenyu A. Liao
L. Orecchia
114
89
0
16 Jun 2015
Signal Recovery on Graphs: Variation Minimization
Signal Recovery on Graphs: Variation Minimization
Siheng Chen
A. Sandryhaila
José M. F. Moura
J. Kovacevic
36
268
0
26 Nov 2014
Stochastic Dual Coordinate Ascent Methods for Regularized Loss
  Minimization
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev-Shwartz
Tong Zhang
112
1,031
0
10 Sep 2012
Minimax Policies for Combinatorial Prediction Games
Minimax Policies for Combinatorial Prediction Games
Jean-Yves Audibert
Sébastien Bubeck
Gabor Lugosi
OffRL
111
81
0
24 May 2011
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