Travelled to:1 × China
1 × France
1 × Germany
1 × Israel
1 × United Kingdom
3 × USA
Collaborated with:S.Jegelka R.K.Iyer A.Guillory K.Wei J.Malkin R.Arora K.Livescu F.Pernkopf B.House Y.Li L.G.Shapiro M.Libbrecht M.M.Hoffman W.S.Noble W.Wang G.Andrew S.Harada J.O.Wobbrock J.A.Landay
Talks about:submodular (5) learn (5) voic (3) base (3) use (3) structur (2) control (2) multi (2) cover (2) fast (2)
Person: Jeff A. Bilmes
DBLP: Bilmes:Jeff_A=
Contributed to:
20152014201320112010
20092005
2004Wrote 14 papers:
- ICML-2015-LibbrechtHBN #graph
- Entropic Graph-based Posterior Regularization (ML, MMH, JAB, WSN), pp. 1992–2001.
- ICML-2015-WangALB #learning #multi #on the #representation
- On Deep Multi-View Representation Learning (WW, RA, KL, JAB), pp. 1083–1092.
- ICML-2015-WeiIB #learning #set
- Submodularity in Data Subset Selection and Active Learning (KW, RKI, JAB), pp. 1954–1963.
- ICML-c2-2014-WeiIB #multi #performance
- Fast Multi-stage Submodular Maximization (KW, RKI, JAB), pp. 1494–1502.
- ICML-c3-2013-AndrewABL #analysis #canonical #correlation
- Deep Canonical Correlation Analysis (GA, RA, JAB, KL), pp. 1247–1255.
- ICML-c3-2013-IyerJB #optimisation #performance
- Fast Semidifferential-based Submodular Function Optimization (RKI, SJ, JAB), pp. 855–863.
- ICML-2011-GuilloryB #learning
- Simultaneous Learning and Covering with Adversarial Noise (AG, JAB), pp. 369–376.
- ICML-2011-JegelkaB #combinator #online
- Online Submodular Minimization for Combinatorial Structures (SJ, JAB), pp. 345–352.
- ICML-2011-JegelkaB11a #approximate #bound #using
- Approximation Bounds for Inference using Cooperative Cuts (SJ, JAB), pp. 577–584.
- ICML-2010-GuilloryB #interactive #set
- Interactive Submodular Set Cover (AG, JAB), pp. 415–422.
- CHI-2009-HaradaWMBL #learning #people
- Longitudinal study of people learning to use continuous voice-based cursor control (SH, JOW, JM, JAB, JAL), pp. 347–356.
- CHI-2009-HouseMB
- The VoiceBot: a voice controlled robot arm (BH, JM, JAB), pp. 183–192.
- ICML-2005-PernkopfB #classification #generative #learning #network #parametricity
- Discriminative versus generative parameter and structure learning of Bayesian network classifiers (FP, JAB), pp. 657–664.
- ICPR-v1-2004-LiBS #image #recognition #using
- Object Class Recognition using Images of Abstract Regions (YL, JAB, LGS), pp. 40–43.