`Travelled to:`

1 × Austria

1 × China

1 × Finland

1 × United Kingdom

2 × USA

`Collaborated with:`

L.Carin L.Hannah I.Shterev F.Guo H.Chen X.Zhang L.Ren K.Ni Y.Xue S.Minsker S.Srivastava L.Lin M.Zhou L.Li Y.Qi D.Liu B.Chen G.Polatkan G.Sapiro P.Rai Y.Wang S.Guo G.Chen Q.An C.Wang E.Wang

`Talks about:`

process (6) bayesian (4) multi (4) task (4) dirichlet (3) hierarch (3) learn (3) scalabl (2) regress (2) program (2)

## Person: David B. Dunson

### DBLP: Dunson:David_B=

### Contributed to:

### Wrote 15 papers:

- RecSys-2015-GuoD #approach #bias #category theory
- Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach (FG, DBD), pp. 317–320.
- ICML-c2-2014-MinskerSLD #robust #scalability
- Scalable and Robust Bayesian Inference via the Median Posterior (SM, SS, LL, DBD), pp. 1656–1664.
- ICML-c2-2014-RaiWGCDC #composition #multi #rank #scalability
- Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors (PR, YW, SG, GC, DBD, LC), pp. 1800–1808.
- ICML-2012-HannahD #design #geometry #programming
- Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design (LH, DBD), p. 24.
- ICML-2012-ShterevD
- Bayesian Watermark Attacks (IS, DBD), p. 153.
- ICML-2012-ZhouLDC
- Lognormal and Gamma Mixed Negative Binomial Regression (MZ, LL, DBD, LC), p. 113.
- ICML-2011-ChenDC #markov #modelling #parametricity #topic
- Topic Modeling with Nonparametric Markov Tree (HC, DBD, LC), pp. 377–384.
- ICML-2011-ChenPSDC #analysis #learning #process
- The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning (BC, GP, GS, DBD, LC), pp. 361–368.
- ICML-2011-HannahD #approximate #problem #programming
- Approximate Dynamic Programming for Storage Problems (LH, DBD), pp. 337–344.
- ICML-2011-ZhangDC #infinity
- Tree-Structured Infinite Sparse Factor Model (XZ, DBD, LC), pp. 785–792.
- ICML-2008-AnWSWCD #analysis #image #kernel #multi #process
- Hierarchical kernel stick-breaking process for multi-task image analysis (QA, CW, IS, EW, LC, DBD), pp. 17–24.
- ICML-2008-QiLDC #multi #process
- Multi-task compressive sensing with Dirichlet process priors (YQ, DL, DBD, LC), pp. 768–775.
- ICML-2008-RenDC #process
- The dynamic hierarchical Dirichlet process (LR, DBD, LC), pp. 824–831.
- ICML-2007-NiCD #learning #multi #process
- Multi-task learning for sequential data via iHMMs and the nested Dirichlet process (KN, LC, DBD), pp. 689–696.
- ICML-2007-XueDC #flexibility #learning #matrix #multi #process
- The matrix stick-breaking process for flexible multi-task learning (YX, DBD, LC), pp. 1063–1070.