Travelled to:1 × China
1 × United Kingdom
4 × USA
Collaborated with:K.Q.Weinberger M.Chen M.J.Kusner G.Huang F.Sha O.Chapelle A.X.Zheng J.R.Gardner J.Cunningham
Talks about:represent (2) margin (2) learn (2) constraint (1) autoencod (1) gradient (1) classifi (1) bayesian (1) sensit (1) select (1)
Person: Zhixiang Eddie Xu
DBLP: Xu:Zhixiang_Eddie
Contributed to:
2014
201420132013
20122012Wrote 7 papers:
- ICML-c2-2014-GardnerKZWC #constraints #difference #optimisation
- Bayesian Optimization with Inequality Constraints (JRG, MJK, ZEX, KQW, JC), pp. 937–945.
- KDD-2014-XuHWZ #feature model
- Gradient boosted feature selection (ZEX, GH, KQW, AXZ), pp. 522–531.
- ICML-c1-2013-XuKWC #classification
- Cost-Sensitive Tree of Classifiers (ZEX, MJK, KQW, MC), pp. 133–141.
- ICML-c3-2013-XuKHW #learning #representation
- Anytime Representation Learning (ZEX, MJK, GH, KQW), pp. 1076–1084.
- CIKM-2012-XuCWS #representation
- From sBoW to dCoT marginalized encoders for text representation (ZEX, MC, KQW, FS), pp. 1879–1884.
- ICML-2012-ChenXWS #adaptation
- Marginalized Denoising Autoencoders for Domain Adaptation (MC, ZEX, KQW, FS), p. 212.
- ICML-2012-XuWC #learning
- The Greedy Miser: Learning under Test-time Budgets (ZEX, KQW, OC), p. 169.