Travelled to:
1 × Finland
1 × France
2 × China
3 × USA
Collaborated with:
I.S.Dhillon H.Yu S.Si K.Chang C.Lin P.A.Olsen S.S.Keerthi S.Sundararajan N.Natarajan K.Chiang H.Yun S.V.N.Vishwanathan
Talks about:
descent (3) method (3) matrix (3) linear (3) larg (3) dual (3) stochast (2) coordin (2) complet (2) select (2)
Person: Cho-Jui Hsieh
DBLP: Hsieh:Cho=Jui
Contributed to:
Wrote 11 papers:
- ICML-2015-HsiehND #learning #matrix
- PU Learning for Matrix Completion (CJH, NN, ISD), pp. 2445–2453.
- ICML-2015-HsiehYD #named #parallel #probability
- PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent (CJH, HFY, ISD), pp. 2370–2379.
- ICML-c1-2014-HsiehO
- Nuclear Norm Minimization via Active Subspace Selection (CJH, PAO), pp. 575–583.
- ICML-c1-2014-HsiehSD #divide and conquer #kernel
- A Divide-and-Conquer Solver for Kernel Support Vector Machines (CJH, SS, ISD), pp. 566–574.
- ICML-c1-2014-SiHD #approximate #kernel #memory management #performance
- Memory Efficient Kernel Approximation (SS, CJH, ISD), pp. 701–709.
- VLDB-2014-YunYHVD #algorithm #distributed #matrix #multi #named #probability
- NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion (HY, HFY, CJH, SVNV, ISD), pp. 975–986.
- KDD-2012-HsiehCD #modelling #network #rank
- Low rank modeling of signed networks (CJH, KYC, ISD), pp. 507–515.
- KDD-2011-HsiehD #coordination #matrix #performance
- Fast coordinate descent methods with variable selection for non-negative matrix factorization (CJH, ISD), pp. 1064–1072.
- KDD-2010-YuHCL #classification #in memory #linear #memory management #scalability
- Large linear classification when data cannot fit in memory (HFY, CJH, KWC, CJL), pp. 833–842.
- ICML-2008-HsiehCLKS #coordination #linear #scalability
- A dual coordinate descent method for large-scale linear SVM (CJH, KWC, CJL, SSK, SS), pp. 408–415.
- KDD-2008-KeerthiSCHL #linear #multi #scalability
- A sequential dual method for large scale multi-class linear svms (SSK, SS, KWC, CJH, CJL), pp. 408–416.