Inderjit S. Dhillon
机构: Distinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at Amazon
主页: utexas.edu
每年引用次数
引用次数
引用: 46,585
H-指数: 96
I10-指数 : 230
出版物: 539
LAPACK WORKING NOTE 162: THE DESIGN AND IMPLEMENTATION OF THE MRRR ALGORITHM
Christof Vömel , Inderjit S. Dhillonand , Beresford N. Parlettand
6
2004
ScaLAPACK Users' Guide
J. Dongarra , L. S. Blackford , J. Demmel , A. Petitet
755
1987
LAPACK Working Note 95: ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers -- Design Issues and Performance
J. Dongarra , J. Demmel , A. Petitet , I. Dhillon
University of Tennessee
66
1995
Future Directions in Tensor-Based Computation and Modeling
Robert Plemmons , Petros Drineas , Orly Alter , Martin Mohlenkamp
19
2009
LAPACK Working Note 112: Practical Experience in the Dangers ofHeterogeneous Computing
L. S. Blackford , A. Petitet , I. Dhillon , R. C. Whaley
University of Tennessee
1996
A new O (N(2)) algorithm for the symmetric tridiagonal eigenvalue/eigenvector problem
Inderjit Singh Dhillon
University of California at Berkeley
140
1998
Fast and accurate low rank approximation of massive graphs
Inderjit S Dhillon ,
Department of Computer Science, The University of Texas at Austin
1
2010
On the Correctness of Parallel Bisection in Floating Point
James W. Demmel , Inderjit Dhillon , Huan Ren
University of California at Berkeley
10
1994
PU Learning for Matrix Completion
Inderjit Dhillon , Cho-Jui Hsieh , Nagarajan Natarajan
international conference on machine learning 2445 -2453
80
2015
Refining clusters in high dimensional text data
Inderjit S. Dhillon , Yuqiang Guan
32
2003
Scalable kernel methods for machine learning
Inderjit S. Dhillon , Brian Joseph Kulis
University of Texas at Austin
1
2008
ScaLAPACK user's guide
Jack J. Dongarra , L. S. Blackford , J. Demmel , A. Petitet
Society for Industrial and Applied Mathematics
232
1997
Matrix nearness problems in data mining
Inderjit S. Dhillon , Suvrit Sra
University of Texas at Austin
7
2007
Method and system for clustering data in parallel in a distributed-memory multiprocessor system
Inderjit Singh Dhillon , Dharmendra Shantilal Modha
55
1998
Co-clustering algorithms: extensions and applications
Hyuk Cho ,
University of Texas at Austin
1
2008
Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics
Inderjit S. Dhillon , Oluwasanmi Koyejo , Pradeep Ravikumar , Nagarajan Natarajan
arXiv: Learning
2
2015
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
Srujana Merugu , Inderjit Dhillon , Arindam Banerjee , Joydeep Ghosh
Journal of Machine Learning Research 8 ( 67) 1919 -1986
264
2007
Large-scale Multi-label Learning with Missing Labels
Inderjit Dhillon , Prateek Jain , Purushottam Kar , Hsiang-Fu Yu
international conference on machine learning 593 -601
286
2014
Concept decomposition using clustering
Inderjit Singh Dhillon , Dharmendra Shantilal Modha
149
2000
The Metric Nearness Problem with Applications
J Tropp , I Dhillon , S Sra
University of Texas: Department of Computer Science
2003
Cho-Jui Hsieh Hsiang-Fu Yu Prateek Jain Suvrit Sra Pradeep Ravikumar Brian Kulis James W DEMMEL Jack Dongarra Nagarajan Natarajan Joydeep Ghosh Kai Zhong Arindam Banerjee R. Clint Whaley Dharmendra Modha Ambuj Tewari | अम्बुज तिवारी Joel A. Tropp Si Si Sven Hammarling Joyce Jiyoung Whang Matyas A Sustik