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CORR
2010
Springer
128views Education» more  CORR 2010»
15 years 14 days ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 28 days ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
TIT
2008
122views more  TIT 2008»
15 years 8 days ago
Identifying Codes and Covering Problems
The identifying code problem for a given graph involves finding a minimum set of vertices whose neighborhoods uniquely overlap at any given graph vertex. Initially introduced in 1...
Moshe Laifenfeld, Ari Trachtenberg
ECCC
2008
98views more  ECCC 2008»
15 years 13 days ago
Public-Key Cryptosystems from the Worst-Case Shortest Vector Problem
We construct public-key cryptosystems that are secure assuming the worst-case hardness of approximating the minimum distance on n-dimensional lattices to within small poly(n) fact...
Chris Peikert
CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 14 days ago
Index coding via linear programming
Abstract Anna Blasiak Robert Kleinberg Eyal Lubetzky Index Coding has received considerable attention recently motivated in part by applications such as fast video-on-demand and e...
Anna Blasiak, Robert D. Kleinberg, Eyal Lubetzky