Travelled to:1 × China
1 × France
1 × USA
1 × United Kingdom
Collaborated with:M.Sugiyama B.Dai M.C.d.Plessis M.Yamada W.Jitkrittum H.Hachiya
Talks about:learn (4) inform (3) supervis (2) theoret (2) regular (2) semi (2) transduct (1) approxim (1) approach (1) unlabel (1)
Person: Gang Niu
DBLP: Niu:Gang
Contributed to:
2015201420132012Wrote 4 papers:
- ICML-2015-PlessisNS #learning
- Convex Formulation for Learning from Positive and Unlabeled Data (MCdP, GN, MS), pp. 1386–1394.
- ICML-c2-2014-NiuDPS #approximate #learning #multi
- Transductive Learning with Multi-class Volume Approximation (GN, BD, MCdP, MS), pp. 1377–1385.
- ICML-c3-2013-NiuJDHS #approach #learning #novel
- Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning (GN, WJ, BD, HH, MS), pp. 10–18.
- ICML-2012-NiuDYS #learning #metric
- Information-theoretic Semi-supervised Metric Learning via Entropy Regularization (GN, BD, MY, MS), p. 136.