Travelled to:1 × China
1 × France
1 × USA
1 × United Kingdom
Collaborated with:M.Perrot F.Denis M.Gybels A.Bellet M.Sebban P.Germain F.Laviolette E.Morvant
Talks about:learn (3) linear (2) hypothesi (1) transfer (1) spectral (1) concentr (1) classifi (1) bayesian (1) approach (1) theoret (1)
Person: Amaury Habrard
DBLP: Habrard:Amaury
Contributed to:
2015201420132012Wrote 4 papers:
- ICML-2015-PerrotH #analysis #learning #metric
- A Theoretical Analysis of Metric Hypothesis Transfer Learning (MP, AH), pp. 1708–1717.
- ICML-c1-2014-DenisGH #bound #learning #matrix
- Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning (FD, MG, AH), pp. 449–457.
- ICML-c3-2013-GermainHLM #adaptation #approach #classification #linear
- A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers (PG, AH, FL, EM), pp. 738–746.
- ICML-2012-BelletHS #classification #learning #linear #similarity
- Similarity Learning for Provably Accurate Sparse Linear Classification (AB, AH, MS), p. 193.