`Travelled to:`

1 × China

1 × France

2 × USA

`Collaborated with:`

K.Q.Weinberger Z.E.Xu J.R.Gardner R.Garnett Y.Sun N.I.Kolkin S.Tyree K.Agrawal M.Chen G.Huang J.Cunningham

`Talks about:`

bayesian (2) optim (2) differenti (1) constraint (1) represent (1) stochast (1) neighbor (1) document (1) compress (1) classifi (1)

## Person: Matt J. Kusner

### DBLP: Kusner:Matt_J=

### Contributed to:

### Wrote 6 papers:

- ICML-2015-KusnerGGW #optimisation
- Differentially Private Bayesian Optimization (MJK, JRG, RG, KQW), pp. 918–927.
- ICML-2015-KusnerSKW #documentation #word
- From Word Embeddings To Document Distances (MJK, YS, NIK, KQW), pp. 957–966.
- ICML-c2-2014-GardnerKZWC #constraints #difference #optimisation
- Bayesian Optimization with Inequality Constraints (JRG, MJK, ZEX, KQW, JC), pp. 937–945.
- ICML-c2-2014-KusnerTWA #probability
- Stochastic Neighbor Compression (MJK, ST, KQW, KA), pp. 622–630.
- 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.