Department of Statistics, University of Pennsylvania
List of publications from the DBLP Bibliography Server - FAQ
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 | 2013 | |
|---|---|---|
| j16 |      | Alekh Agarwal, Dean P. Foster, Daniel Hsu, Sham M. Kakade, Alexander Rakhlin: Stochastic Convex Optimization with Bandit Feedback. SIAM Journal on Optimization 23(1): 213-240 (2013) |
| 2012 | ||
| j15 | | Dean P. Foster, Alexander Rakhlin: No Internal Regret via Neighborhood Watch. Journal of Machine Learning Research - Proceedings Track 22: 382-390 (2012) |
| j14 | | 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) |
| c18 | | Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar: Spectral Learning of Latent-Variable PCFGs. ACL (1) 2012: 223-231 |
| c17 | | Adam Kapelner, Krishna Kaliannan, H. Andrew Schwartz, Lyle H. Ungar, Dean P. Foster: New Insights from Coarse Word Sense Disambiguation in the Crowd. COLING (Posters) 2012: 539-548 |
| c16 | | Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar: Spectral Dependency Parsing with Latent Variables. EMNLP-CoNLL 2012: 205-213 |
| c15 | | Paramveer S. Dhillon, Jordan Rodu, Dean P. Foster, Lyle H. Ungar: Using CCA to improve CCA: A new spectral method for estimating vector models of words. ICML 2012 |
| c14 | | Anima Anandkumar, Dean P. Foster, Daniel Hsu, Sham Kakade, Yi-Kai Liu: A Spectral Algorithm for Latent Dirichlet Allocation. NIPS 2012: 926-934 |
| i7 | | Dean P. Foster, Jordan Rodu, Lyle H. Ungar: Spectral dimensionality reduction for HMMs. CoRR abs/1203.6130 (2012) |
| i6 | | 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) |
| i5 | | Yichao Lu, Dean P. Foster: Optimal Weighting of Multi-View Data with Low Dimensional Hidden States. CoRR abs/1209.5477 (2012) |
| 2011 | ||
| j13 | | 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) |
| j12 | | John Blitzer, Sham Kakade, Dean P. Foster: Domain Adaptation with Coupled Subspaces. Journal of Machine Learning Research - Proceedings Track 15: 173-181 (2011) |
| j11 | | 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) |
| c13 | | Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar: Multi-View Learning of Word Embeddings via CCA. NIPS 2011: 199-207 |
| c12 | | Alekh Agarwal, Dean P. Foster, Daniel Hsu, Sham M. Kakade, Alexander Rakhlin: Stochastic convex optimization with bandit feedback. NIPS 2011: 1035-1043 |
| i4 | | Dean P. Foster, Sham M. Kakade, Ruslan Salakhutdinov: Domain Adaptation: Overfitting and Small Sample Statistics. CoRR abs/1105.0857 (2011) |
| i3 | | Alekh Agarwal, Dean P. Foster, Daniel Hsu, Sham M. Kakade, Alexander Rakhlin: Stochastic convex optimization with bandit feedback. CoRR abs/1107.1744 (2011) |
| i2 | | Dean P. Foster, Alexander Rakhlin: No Internal Regret via Neighborhood Watch. CoRR abs/1108.6088 (2011) |
| 2010 | ||
| j10 | | 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) |
| c11 | | 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 |
| 2009 | ||
| j9 | | 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) |
| c10 | | Dongyu Lin, Dean P. Foster: VIF Regression: A Fast Regression Algorithm for Large Data. ICDM 2009: 848-853 |
| c9 | | 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 |
| i1 | | Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar: Transfer Learning Using Feature Selection. CoRR abs/0905.4022 (2009) |
| 2008 | ||
| j8 | | Sham M. Kakade, Dean P. Foster: Deterministic calibration and Nash equilibrium. J. Comput. Syst. Sci. 74(1): 115-130 (2008) |
| j7 | | 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) |
| c8 | | Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar: Efficient Feature Selection in the Presence of Multiple Feature Classes. ICDM 2008: 779-784 |
| 2007 | ||
| c7 | | Sham M. Kakade, Dean P. Foster: Multi-view Regression Via Canonical Correlation Analysis. COLT 2007: 82-96 |
| 2006 | ||
| j6 | | Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar: Streamwise Feature Selection. Journal of Machine Learning Research 7: 1861-1885 (2006) |
| 2005 | ||
| c6 | | Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar: Streaming feature selection using alpha-investing. KDD 2005: 384-393 |
| c5 | | Sham M. Kakade, Matthias Seeger, Dean P. Foster: Worst-Case Bounds for Gaussian Process Models. NIPS 2005 |
| 2004 | ||
| c4 | | |
| 2003 | ||
| j5 | | Dean P. Foster, H. Peyton Young: Learning, hypothesis testing, and Nash equilibrium. Games and Economic Behavior 45(1): 73-96 (2003) |
| 2002 | ||
| j4 | | 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 | ||
| j3 | | 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 | ||
| b2 | | Dean P. Foster, Robert A. Stine, Richard P. Waterman: Basic Business Statistics - A Casebook. Springer 1998, isbn 978-0-387-98354-7, pp. I-XVI, 1-244 |
| b1 | | Dean P. Foster, Robert A. Stine, Richard P. Waterman: Business Analysis Using Regression - A Casebook. Springer 1998, isbn 978-0-387-98356-1, pp. I-XVII, 1-348 |
| j2 | | 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) |
| c3 | | David C. Parkes, Lyle H. Ungar, Dean P. Foster: Accounting for Cognitive Costs in On-Line Auction Design. AMET 1998: 25-40 |
| 1997 | ||
| c2 |  | Dale Schuurmans, Lyle H. Ungar, Dean P. Foster: Characterizing the generalization performance of model selection strategies. ICML 1997: 340-348 |
| 1991 | ||
| c1 | | 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 | ||
| j1 | | 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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