Travelled to:
1 × Canada
1 × China
1 × Finland
2 × USA
Collaborated with:
N.Cesa-Bianchi I.Kuzborskij J.Luo C.Gentile J.Keshet B.Caputo T.Hazan A.D.Sarwate T.S.Jaakkola
Talks about:
algorithm (2) select (2) kernel (2) sampl (2) learn (2) bound (2) projectron (1) posteriori (1) perceptron (1) hypothesi (1)
Person: Francesco Orabona
DBLP: Orabona:Francesco
Contributed to:
Wrote 6 papers:
- ICML-c1-2014-OrabonaHSJ #on the #random
- On Measure Concentration of Random Maximum A-Posteriori Perturbations (FO, TH, ADS, TSJ), pp. 432–440.
- ICML-c3-2013-KuzborskijO #learning
- Stability and Hypothesis Transfer Learning (IK, FO), pp. 942–950.
- ICML-2011-OrabonaC #algorithm
- Better Algorithms for Selective Sampling (FO, NCB), pp. 433–440.
- ICML-2011-OrabonaL #algorithm #kernel #learning #multi #optimisation
- Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning (FO, JL), pp. 249–256.
- ICML-2009-Cesa-BianchiGO #bound #classification #robust
- Robust bounds for classification via selective sampling (NCB, CG, FO), pp. 121–128.
- ICML-2008-OrabonaKC #bound #kernel
- The projectron: a bounded kernel-based Perceptron (FO, JK, BC), pp. 720–727.