Travelled to:1 × Germany
1 × Spain
1 × United Kingdom
5 × USA
Collaborated with:T.Evgeniou B.Romera-Paredes T.Poggio S.Grünewälder G.Lever L.Baldassarre A.Gretton A.Maurer M.Herbster L.Wainer H.Aung N.Bianchi-Berthouze A.Argyriou R.Hauser C.A.Micchelli L.Pérez-Breva C.Nakajima N.Itoh S.Patterson
Talks about:learn (4) multitask (2) machin (2) kernel (2) embed (2) multilinear (1) regressor (1) algorithm (1) transfer (1) recognit (1)
Person: Massimiliano Pontil
DBLP: Pontil:Massimiliano
Contributed to:
20132013201220062005
20042000
2000Wrote 9 papers:
- ICML-c2-2013-MaurerPR #learning #multi
- Sparse coding for multitask and transfer learning (AM, MP, BRP), pp. 343–351.
- ICML-c3-2013-Romera-ParedesABP #learning #multi
- Multilinear Multitask Learning (BRP, HA, NBB, MP), pp. 1444–1452.
- ICML-2012-GrunewalderLBPG #modelling
- Modelling transition dynamics in MDPs with RKHS embeddings (SG, GL, LB, MP, AG), p. 208.
- ICML-2012-GrunewalderLGBPP
- Conditional mean embeddings as regressors (SG, GL, AG, LB, SP, MP), p. 234.
- ICML-2006-ArgyriouHMP #algorithm #kernel
- A DC-programming algorithm for kernel selection (AA, RH, CAM, MP), pp. 41–48.
- ICML-2005-HerbsterPW #graph #learning #online
- Online learning over graphs (MH, MP, LW), pp. 305–312.
- KDD-2004-EvgeniouP #learning #multi
- Regularized multi--task learning (TE, MP), pp. 109–117.
- ICML-2000-EvgeniouPPP #bound #kernel #performance
- Bounds on the Generalization Performance of Kernel Machine Ensembles (TE, LPB, MP, TP), pp. 271–278.
- ICPR-v4-2000-NakajimaIPP #correlation #detection #invariant #recognition
- Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation (CN, NI, MP, TP), pp. 4787–4790.