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Distributed Black-Box Optimization via Error Correcting Codes

Distributed Black-Box Optimization via Error Correcting Codes

13 July 2019
Burak Bartan
Mert Pilanci
ArXiv (abs)PDFHTML

Papers citing "Distributed Black-Box Optimization via Error Correcting Codes"

14 / 14 papers shown
Title
Straggler Resilient Serverless Computing Based on Polar Codes
Straggler Resilient Serverless Computing Based on Polar Codes
Burak Bartan
Mert Pilanci
53
13
0
21 Jan 2019
Rateless Codes for Near-Perfect Load Balancing in Distributed
  Matrix-Vector Multiplication
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication
Ankur Mallick
Malhar Chaudhari
Utsav Sheth
Ganesh Palanikumar
Gauri Joshi
74
142
0
27 Apr 2018
Structured Evolution with Compact Architectures for Scalable Policy
  Optimization
Structured Evolution with Compact Architectures for Scalable Policy Optimization
K. Choromanski
Mark Rowland
Vikas Sindhwani
Richard Turner
Adrian Weller
79
149
0
06 Apr 2018
Block-Diagonal and LT Codes for Distributed Computing With Straggling
  Servers
Block-Diagonal and LT Codes for Distributed Computing With Straggling Servers
A. Severinson
A. Graell i Amat
E. Rosnes
131
93
0
21 Dec 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural
  Networks without Training Substitute Models
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen
Huan Zhang
Yash Sharma
Jinfeng Yi
Cho-Jui Hsieh
AAML
80
1,882
0
14 Aug 2017
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix
  Multiplication
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication
Qian-long Yu
M. Maddah-ali
A. Avestimehr
117
463
0
30 May 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans
Jonathan Ho
Xi Chen
Szymon Sidor
Ilya Sutskever
92
1,541
0
10 Mar 2017
Speeding Up Distributed Machine Learning Using Codes
Speeding Up Distributed Machine Learning Using Codes
Kangwook Lee
Maximilian Lam
Ramtin Pedarsani
Dimitris Papailiopoulos
Kannan Ramchandran
204
858
0
08 Dec 2015
Newton Sketch: A Linear-time Optimization Algorithm with
  Linear-Quadratic Convergence
Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence
Mert Pilanci
Martin J. Wainwright
52
274
0
09 May 2015
Randomized sketches for kernels: Fast and optimal non-parametric
  regression
Randomized sketches for kernels: Fast and optimal non-parametric regression
Yun Yang
Mert Pilanci
Martin J. Wainwright
82
174
0
25 Jan 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Iterative Hessian sketch: Fast and accurate solution approximation for
  constrained least-squares
Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares
Mert Pilanci
Martin J. Wainwright
77
206
0
03 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,386
0
04 Sep 2014
Randomized Sketches of Convex Programs with Sharp Guarantees
Randomized Sketches of Convex Programs with Sharp Guarantees
Mert Pilanci
Martin J. Wainwright
358
177
0
29 Apr 2014
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