`Travelled to:`

1 × Australia

1 × Finland

2 × Canada

3 × USA

`Collaborated with:`

S.Chang J.Wang B.Shaw P.K.Shivaswamy ∅ R.Kondor D.P.Lewis W.S.Noble B.Moghaddam A.Pentland F.X.Yu D.Liu S.Kumar F.Su J.B.0001 K.Harvey S.Sethumadhavan G.E.Kaiser

`Talks about:`

kernel (3) similar (2) match (2) learn (2) graph (2) svms (2) nonstationari (1) transduct (1) construct (1) supervis (1)

## Person: Tony Jebara

### DBLP: Jebara:Tony

### Contributed to:

### Wrote 10 papers:

- ICML-c3-2013-YuLKJC #learning
- ∝SVM for Learning with Label Proportions (FXY, DL, SK, TJ, SFC), pp. 504–512.
- ICML-2009-JebaraWC #graph #learning
- Graph construction and b-matching for semi-supervised learning (TJ, JW, SFC), pp. 441–448.
- ICML-2009-ShawJ
- Structure preserving embedding (BS, TJ), pp. 937–944.
- ICML-2008-WangJC #graph
- Graph transduction via alternating minimization (JW, TJ, SFC), pp. 1144–1151.
- ICML-2006-LewisJN #kernel
- Nonstationary kernel combination (DPL, TJ, WSN), pp. 553–560.
- ICML-2006-ShivaswamyJ #invariant #permutation
- Permutation invariant SVMs (PKS, TJ), pp. 817–824.
- ICML-2004-Jebara #kernel #multi
- Multi-task feature and kernel selection for SVMs (TJ).
- ICML-2003-KondorJ #kernel #set
- A Kernel Between Sets of Vectors (RK, TJ), pp. 361–368.
- ICPR-1998-MoghaddamJP #ml #performance #recognition #similarity #visual notation
- Efficient MAP/ML similarity matching for visual recognition (BM, TJ, AP), pp. 876–881.
- FSE-2016-SuBHSKJ #detection
- Code relatives: detecting similarly behaving software (FHS, JB0, KH, SS, GEK, TJ), pp. 702–714.