Travelled to:1 × Australia
1 × Italy
1 × Switzerland
2 × Canada
2 × Finland
7 × USA
Collaborated with:R.E.Schapire S.Shalev-Shwartz J.C.Duchi A.Singhal N.Krause K.Crammer Y.Freund M.K.Warmuth W.W.Cohen R.D.Iyer N.Srebro O.Dekel J.Keshet A.Y.Ng E.L.Allwein P.Ju L.P.Kaelbling J.Lee S.Kim G.Lebanon T.Chandra M.Fink S.Ullman S.Dubnov N.Friedman D.P.Helmbold D.D.Lewis
Talks about:learn (4) boost (4) margin (3) onlin (3) multiclass (2) algorithm (2) classif (2) effici (2) combin (2) text (2)
Person: Yoram Singer
DBLP: Singer:Yoram
Contributed to:
201320092008200720062004
2002
2000200019981998
199719961996Wrote 18 papers:
- ICML-c2-2013-LeeKLS #approximate #matrix #rank
- Local Low-Rank Matrix Approximation (JL, SK, GL, YS), pp. 82–90.
- ICML-2009-DuchiS
- Boosting with structural sparsity (JCD, YS), pp. 297–304.
- ICML-2008-DuchiSSC #learning #performance
- Efficient projections onto the l1-ball for learning in high dimensions (JCD, SSS, YS, TC), pp. 272–279.
- ICML-2007-Shalev-ShwartzSS #named
- Pegasos: Primal Estimated sub-GrAdient SOlver for SVM (SSS, YS, NS), pp. 807–814.
- ICML-2006-FinkSSU #learning #multi #online
- Online multiclass learning by interclass hypothesis sharing (MF, SSS, YS, SU), pp. 313–320.
- ICML-2004-DekelKS #classification #scalability
- Large margin hierarchical classification (OD, JK, YS).
- ICML-2004-KrauseS
- Leveraging the margin more carefully (NK, YS).
- ICML-2004-Shalev-ShwartzSN #learning #online #pseudo
- Online and batch learning of pseudo-metrics (SSS, YS, AYN).
- SIGIR-2002-CrammerS #algorithm #online #product line #ranking
- A new family of online algorithms for category ranking (KC, YS), pp. 151–158.
- SIGIR-2002-Shalev-ShwartzDFS #modelling #query #robust
- Robust temporal and spectral modeling for query By melody (SSS, SD, NF, YS), pp. 331–338.
- CIKM-2000-IyerLSSS #documentation
- Boosting for Document Routing (RDI, DDL, RES, YS, AS), pp. 70–77.
- ICML-2000-AllweinSS #approach #classification #multi
- Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers (ELA, RES, YS), pp. 9–16.
- ICML-2000-JuKS #classification #gesture
- State-based Classification of Finger Gestures from Electromyographic Signals (PJ, LPK, YS), pp. 439–446.
- ICML-1998-FreundISS #algorithm #performance
- An Efficient Boosting Algorithm for Combining Preferences (YF, RDI, RES, YS), pp. 170–178.
- SIGIR-1998-SchapireSS
- Boosting and Rocchio Applied to Text Filtering (RES, YS, AS), pp. 215–223.
- STOC-1997-FreundSSW #predict #using
- Using and Combining Predictors That Specialize (YF, RES, YS, MKW), pp. 334–343.
- ICML-1996-HelmboldSSW #multi #online #using
- On-Line Portfolio Selection Using Multiplicative Updates (DPH, RES, YS, MKW), pp. 243–251.
- SIGIR-1996-CohenS #categorisation #learning
- Context-sensitive Learning Methods for Text Categorization (WWC, YS), pp. 307–315.