Travelled to:1 × Canada
1 × China
1 × Germany
3 × USA
Collaborated with:D.Koller V.Chatalbashev P.Liang M.I.Jordan M.F.Wong R.H.Affandi E.B.Fox R.P.Adams C.Guestrin L.Getoor N.Friedman
Talks about:learn (5) model (3) structur (2) probabilist (1) determinant (1) approach (1) sampler (1) process (1) predict (1) paramet (1)
Person: Benjamin Taskar
DBLP: Taskar:Benjamin
Contributed to:
201420072005200420032001Wrote 6 papers:
- ICML-c2-2014-AffandiFAT #kernel #learning #parametricity #process
- Learning the Parameters of Determinantal Point Process Kernels (RHA, EBF, RPA, BT), pp. 1224–1232.
- ICML-2007-LiangJT #modelling
- A permutation-augmented sampler for DP mixture models (PL, MIJ, BT), pp. 545–552.
- ICML-2005-TaskarCKG #approach #learning #modelling #predict #scalability
- Learning structured prediction models: a large margin approach (BT, VC, DK, CG), pp. 896–903.
- ICML-2004-TaskarCK #learning #markov #network
- Learning associative Markov networks (BT, VC, DK).
- ICML-2003-TaskarWK #learning #testing
- Learning on the Test Data: Leveraging Unseen Features (BT, MFW, DK), pp. 744–751.
- ICML-2001-GetoorFKT #learning #modelling #probability #relational
- Learning Probabilistic Models of Relational Structure (LG, NF, DK, BT), pp. 170–177.