Travelled to:1 × China
1 × Finland
1 × France
3 × USA
Collaborated with:D.Roth C.Hsieh C.Lin S.S.Keerthi S.Sundararajan R.Samdani H.Yu A.Krishnamurthy A.Agarwal H.D.III J.Langford
Talks about:linear (4) larg (4) scale (3) method (2) memori (2) model (2) dual (2) discrimin (1) sequenti (1) variabl (1)
Person: Kai-Wei Chang
DBLP: Chang:Kai=Wei
Contributed to:
20152014
2011201020082008Wrote 6 papers:
- ICML-2015-ChangKADL #education #learning
- Learning to Search Better than Your Teacher (KWC, AK, AA, HDI, JL), pp. 2058–2066.
- ICML-c1-2014-SamdaniCR #clustering #online
- A Discriminative Latent Variable Model for Online Clustering (RS, KWC, DR), pp. 1–9.
- KDD-2011-ChangR #convergence #linear #memory management #modelling #performance #scalability
- Selective block minimization for faster convergence of limited memory large-scale linear models (KWC, DR), pp. 699–707.
- 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.