Travelled to:1 × Austria
1 × China
1 × Finland
1 × Portugal
1 × USA
1 × United Kingdom
Collaborated with:S.Sabato K.Chaudhuri S.Dasgupta B.Yang S.Johnson A.Anandkumar A.Javanmard S.Kakade A.K.Dey R.Hamid C.Beckmann I.Li A.Agarwal S.Kale J.Langford L.Li R.E.Schapire
Talks about:learn (2) differenti (1) construct (1) algorithm (1) hierarch (1) demonstr (1) contextu (1) bayesian (1) variabl (1) statist (1)
Person: Daniel Hsu
DBLP: Hsu:Daniel
Contributed to:
201420132012
20092008
2004Wrote 7 papers:
- ICML-c2-2014-AgarwalHKLLS #algorithm #performance
- Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits (AA, DH, SK, JL, LL, RES), pp. 1638–1646.
- ICML-c2-2014-HsuS
- Heavy-tailed regression with a generalized median-of-means (DH, SS), pp. 37–45.
- ICML-c1-2013-AnandkumarHJK #learning #linear #network
- Learning Linear Bayesian Networks with Latent Variables (AA, DH, AJ, SK), pp. 249–257.
- ICML-2012-ChaudhuriH #convergence #estimation #statistics
- Convergence Rates for Differentially Private Statistical Estimation (KC, DH), p. 223.
- KMIS-2009-YangJH #empirical #testing
- Constructing a Computer Simulated Experiment Testing System (BY, SJ, DH), pp. 271–275.
- ICML-2008-DasguptaH #learning
- Hierarchical sampling for active learning (SD, DH), pp. 208–215.
- CHI-2004-DeyHBLH #programming
- a CAPpella: programming by demonstration of context-aware applications (AKD, RH, CB, IL, DH), pp. 33–40.