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Department of Statistics, University of Pennsylvania
List of publications from the DBLP Bibliography Server - FAQ
| 2012 | ||
|---|---|---|
| 34 | Dean P. Foster, Jordan Rodu, Lyle H. Ungar: Spectral dimensionality reduction for HMMs CoRR abs/1203.6130: (2012) | |
| 33 | Animashree Anandkumar, Dean P. Foster, Daniel Hsu, Sham M. Kakade, Yi-Kai Liu: Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation CoRR abs/1204.6703: (2012) | |
| 32 | Dean P. Foster, Alexander Rakhlin: No Internal Regret via Neighborhood Watch. Journal of Machine Learning Research - Proceedings Track 22: 382-390 (2012) | |
| 31 | Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Foster: Domain Adaptation: A Small Sample Statistical Approach. Journal of Machine Learning Research - Proceedings Track 22: 960-968 (2012) | |
| 2011 | ||
| 30 | Alekh Agarwal, Dean P. Foster, Daniel Hsu, Sham M. Kakade, Alexander Rakhlin: Stochastic convex optimization with bandit feedback. NIPS 2011: 1035-1043 | |
| 29 | Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar: Multi-View Learning of Word Embeddings via CCA. NIPS 2011: 199-207 | |
| 28 | Dean P. Foster, Sham M. Kakade, Ruslan Salakhutdinov: Domain Adaptation: Overfitting and Small Sample Statistics CoRR abs/1105.0857: (2011) | |
| 27 | Alekh Agarwal, Dean P. Foster, Daniel Hsu, Sham M. Kakade, Alexander Rakhlin: Stochastic convex optimization with bandit feedback CoRR abs/1107.1744: (2011) | |
| 26 | Dean P. Foster, Alexander Rakhlin: No Internal Regret via Neighborhood Watch CoRR abs/1108.6088: (2011) | |
| 25 | Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar: Minimum Description Length Penalization for Group and Multi-Task Sparse Learning. Journal of Machine Learning Research 12: 525-564 (2011) | |
| 24 | John Blitzer, Sham Kakade, Dean P. Foster: Domain Adaptation with Coupled Subspaces. Journal of Machine Learning Research - Proceedings Track 15: 173-181 (2011) | |
| 23 | Dean P. Foster, Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari: Complexity-Based Approach to Calibration with Checking Rules. Journal of Machine Learning Research - Proceedings Track 19: 293-314 (2011) | |
| 2010 | ||
| 22 | Rushin Shah, Paramveer S. Dhillon, Mark Liberman, Dean P. Foster, Mohamed Maamouri, Lyle H. Ungar: A New Approach to Lexical Disambiguation of Arabic Text. EMNLP 2010: 725-735 | |
| 21 | Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar: Feature Selection using Multiple Streams. Journal of Machine Learning Research - Proceedings Track 9: 153-160 (2010) | |
| 2009 | ||
| 20 | Paramveer S. Dhillon, Brian Tomasik, Dean P. Foster, Lyle H. Ungar: Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC). ECML/PKDD (1) 2009: 276-289 | |
| 19 | Dongyu Lin, Dean P. Foster: VIF Regression: A Fast Regression Algorithm for Large Data. ICDM 2009: 848-853 | |
| 18 | Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar: Transfer Learning Using Feature Selection CoRR abs/0905.4022: (2009) | |
| 17 | Martha J. Farah, M. Elizabeth Smith, Cyrena Gawuga, Dennis Lindsell, Dean P. Foster: Brain Imaging and Brain Privacy: A Realistic Concern? J. Cognitive Neuroscience 21(1): 119-127 (2009) | |
| 2008 | ||
| 16 | Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar: Efficient Feature Selection in the Presence of Multiple Feature Classes. ICDM 2008: 779-784 | |
| 15 | Matthias W. Seeger, Sham M. Kakade, Dean P. Foster: Information Consistency of Nonparametric Gaussian Process Methods. IEEE Transactions on Information Theory 54(5): 2376-2382 (2008) | |
| 14 | Sham M. Kakade, Dean P. Foster: Deterministic calibration and Nash equilibrium. J. Comput. Syst. Sci. 74(1): 115-130 (2008) | |
| 2007 | ||
| 13 | Sham M. Kakade, Dean P. Foster: Multi-view Regression Via Canonical Correlation Analysis. COLT 2007: 82-96 | |
| 2006 | ||
| 12 | Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar: Streamwise Feature Selection. Journal of Machine Learning Research 7: 1861-1885 (2006) | |
| 2005 | ||
| 11 | Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar: Streaming feature selection using alpha-investing. KDD 2005: 384-393 | |
| 10 | Sham M. Kakade, Matthias Seeger, Dean P. Foster: Worst-Case Bounds for Gaussian Process Models. NIPS 2005 | |
| 2004 | ||
| 9 | Sham Kakade, Dean P. Foster: Deterministic Calibration and Nash Equilibrium. COLT 2004: 33-48 | |
| 2003 | ||
| 8 | Dean P. Foster, H. Peyton Young: Learning, hypothesis testing, and Nash equilibrium. Games and Economic Behavior 45(1): 73-96 (2003) | |
| 2002 | ||
| 7 | Dean P. Foster, Robert A. Stine, Abraham J. Wyner: Universal codes for finite sequences of integers drawn from a monotone distribution. IEEE Transactions on Information Theory 48(6): 1713-1720 (2002) | |
| 1999 | ||
| 6 | Dean P. Foster, Robert A. Stine: Local Asymptotic Coding and the Minimum Description Length. IEEE Transactions on Information Theory 45(4): 1289-1293 (1999) | |
| 1998 | ||
| 5 | David C. Parkes, Lyle H. Ungar, Dean P. Foster: Accounting for Cognitive Costs in On-Line Auction Design. AMET 1998: 25-40 | |
| 4 | Amos Fiat, Dean P. Foster, Howard J. Karloff, Yuval Rabani, Yiftach Ravid, Sundar Vishwanathan: Competitive Algorithms for Layered Graph Traversal. SIAM J. Comput. 28(2): 447-462 (1998) | |
| 1997 | ||
| 3 | Dale Schuurmans, Lyle H. Ungar, Dean P. Foster: Characterizing the generalization performance of model selection strategies. ICML 1997: 340-348 | |
| 1991 | ||
| 2 | Amos Fiat, Dean P. Foster, Howard J. Karloff, Yuval Rabani, Yiftach Ravid, Sundar Vishwanathan: Competitive Algorithms for Layered Graph Traversal FOCS 1991: 288-297 | |
| 1989 | ||
| 1 | Dean P. Foster, Rakesh Vohra: Probabilistic Analysis of a Heuristics for the Dual Bin Packing Problem. Inf. Process. Lett. 31(6): 287-290 (1989) | |
Colors in the list of coauthors
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