Lyle H. Ungar

	2009
45		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
44		Luís Sarmento, Alexander Kehlenbeck, Eugénio C. Oliveira, Lyle H. Ungar: Efficient Clustering of Web-Derived Data Sets. MLDM 2009: 398-412
43		Luís Sarmento, Alexander Kehlenbeck, Eugénio C. Oliveira, Lyle H. Ungar: An Approach to Web-Scale Named-Entity Disambiguation. MLDM 2009: 689-703
42		Mahesh Yaragatti, Ted Sandler, Lyle H. Ungar: A predictive model for identifying mini-regulatory modules in the mouse genome. Bioinformatics 25(3): 353-357 (2009)
41		Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar: Transfer Learning Using Feature Selection CoRR abs/0905.4022: (2009)
	2008
40		Casey Whitelaw, Alexander Kehlenbeck, Nemanja Petrovic, Lyle H. Ungar: Web-scale named entity recognition. CIKM 2008: 123-132
39		Binyamin Rosenfeld, Ronen Feldman, Lyle H. Ungar: Using sequence classification for filtering web pages. CIKM 2008: 1355-1356
38		Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar: Efficient Feature Selection in the Presence of Multiple Feature Classes. ICDM 2008: 779-784
37		Ted Sandler, John Blitzer, Partha Pratim Talukdar, Lyle H. Ungar: Regularized Learning with Networks of Features. NIPS 2008: 1401-1408
36		Ravi Aron, Lyle H. Ungar, Annapurna Valluri: A model of market power and efficiency in private electronic exchanges. European Journal of Operational Research 187(3): 922-942 (2008)
	2007
35		Vasileios Kandylas, S. Phineas Upham, Lyle H. Ungar: Finding Cohesive Clusters for Analyzing Knowledge Communities. ICDM 2007: 203-212
34		Ronen Feldman, Moshe Fresko, Jacob Goldenberg, Oded Netzer, Lyle H. Ungar: Extracting Product Comparisons from Discussion Boards. ICDM 2007: 469-474
33		Andrew I. Schein, Lyle H. Ungar: Active learning for logistic regression: an evaluation. Machine Learning 68(3): 235-265 (2007)
	2006
32		Tina Eliassi-Rad, Lyle H. Ungar, Mark Craven, Dimitrios Gunopulos: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006 ACM 2006
31		Jinying Chen, Andrew I. Schein, Lyle H. Ungar, Martha Palmer: An Empirical Study of the Behavior of Active Learning for Word Sense Disambiguation. HLT-NAACL 2006
30		Ted Sandler, Andrew I. Schein, Lyle H. Ungar: Automatic term list generation for entity tagging. Bioinformatics 22(6): 651-657 (2006)
29		Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar: Streamwise Feature Selection. Journal of Machine Learning Research 7: 1861-1885 (2006)
	2005
28		Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar: Is Online Product Information Availability Driven by Quality or Differentiation? ICIS 2005
27		Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar: Streaming feature selection using alpha-investing. KDD 2005: 384-393
26		Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock: CROC: A New Evaluation Criterion for Recommender Systems. Electronic Commerce Research 5(1): 51-74 (2005)
	2004
25		Alexandrin Popescul, Lyle H. Ungar: Cluster-based concept invention for statistical relational learning. KDD 2004: 665-670
24		Eugen C. Buehler, Jeffrey R. Sachs, Kui Shao, Ansuman Bagchi, Lyle H. Ungar: The CRASSS plug-in for integrating annotation data with hierarchical clustering results. Bioinformatics 20(17): 3266-3269 (2004)
23		Phillip P. Le, Amit Bahl, Lyle H. Ungar: Using prior knowledge to improve genetic network reconstruction from microarray data. In Silico Biology 4: (2004)
	2003
22		Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock: Statistical Relational Learning for Document Mining. ICDM 2003: 275-282
21		Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar: Dual Pricing in Electronic Markets. ICIS 2003: 485-496
20		Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar: Mixtures of Conditional Maximum Entropy Models. ICML 2003: 584-591
19		Seung-Taek Park, Alexy Khrabrov, David M. Pennock, Steve Lawrence, C. Lee Giles, Lyle H. Ungar: Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks. INFOCOM 2003
	2002
18		Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock: Methods and metrics for cold-start recommendations. SIGIR 2002: 253-260
	2001
17		Panos M. Markopoulos, Lyle H. Ungar: Pricing price information in e-commerce. ACM Conference on Electronic Commerce 2001: 260-263
16		David C. Parkes, Lyle H. Ungar: An auction-based method for decentralized train scheduling. Agents 2001: 43-50
15		Eugen C. Buehler, Lyle H. Ungar: Maximum entropy methods for biological sequence modeling. BIOKDD 2001: 60-64
14		Gregory Z. Grudic, Lyle H. Ungar: Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning. IJCAI 2001: 965-972
13		Gregory Z. Grudic, Lyle H. Ungar: Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning. NIPS 2001: 1515-1522
12		Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence: Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. UAI 2001: 437-444
	2000
11		Gregory Z. Grudic, Lyle H. Ungar: Localizing Search in Reinforcement Learning. AAAI/IAAI 2000: 590-595
10		David C. Parkes, Lyle H. Ungar: Iterative Combinatorial Auctions: Theory and Practice. AAAI/IAAI 2000: 74-81
9		David C. Parkes, Lyle H. Ungar: Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment. AAAI/IAAI 2000: 82-89
8		Alexandrin Popescul, Gary William Flake, Steve Lawrence, Lyle H. Ungar, C. Lee Giles: Clustering and Identifying Temporal Trends in Document Databases. ADL 2000: 173-182
7		Gregory Z. Grudic, Lyle H. Ungar: Localizing Policy Gradient Estimates to Action Transition. ICML 2000: 343-350
6		Andrew McCallum, Kamal Nigam, Lyle H. Ungar: Efficient clustering of high-dimensional data sets with application to reference matching. KDD 2000: 169-178
	1998
5		David C. Parkes, Lyle H. Ungar, Dean P. Foster: Accounting for Cognitive Costs in On-Line Auction Design. AMET 1998: 25-40
	1997
4		Dale Schuurmans, Lyle H. Ungar, Dean P. Foster: Characterizing the generalization performance of model selection strategies. ICML 1997: 340-348
	1996
3		Marcos Salganicoff, Lyle H. Ungar, Ruzena Bajcsy: Active Learning for Vision-Based Robot Grasping. Machine Learning 23(2-3): 251-278 (1996)
	1995
2		Marcos Salganicoff, Lyle H. Ungar: Active Exploration and Learning in real-Valued Spaces using Multi-Armed Bandit Allocation Indices. ICML 1995: 480-487
	1992
1		Jonathan M. Vinson, Stephen D. Grantham, Lyle H. Ungar: Automatic Rebuilding of Qualitative Models for Diagnosis. IEEE Expert 7(4): 23-30 (1992)

Coauthor Index

1	Ravi Aron	[21] [28] [36]
2	Ansuman Bagchi	[24]
3	Amit Bahl	[23]
4	Ruzena Bajcsy	[3]
5	John Blitzer	[37]
6	Eugen C. Buehler	[15] [24]
7	Jinying Chen	[31]
8	Mark Craven	[32]
9	Paramveer S. Dhillon	[38] [41] [45]
10	Tina Eliassi-Rad	[32]
11	Ronen Feldman	[34] [39]
12	Gary William Flake	[8]
13	Dean P. Foster	[4] [5] [27] [29] [38] [41] [45]
14	Moshe Fresko	[34]
15	C. Lee Giles (Clyde Lee Giles)	[8] [19]
16	Jacob Goldenberg	[34]
17	Stephen D. Grantham	[1]
18	Gregory Z. Grudic	[7] [11] [13] [14]
19	Dimitrios Gunopulos	[32]
20	Vasileios Kandylas	[35]
21	Alexander Kehlenbeck	[40] [43] [44]
22	Alexy Khrabrov	[19]
23	Steve Lawrence	[8] [12] [19] [22]
24	Phillip P. Le	[23]
25	Panos M. Markopoulos	[17] [21] [28]
26	Andrew McCallum	[6]
27	Oded Netzer	[34]
28	Kamal Nigam	[6]
29	Eugénio C. Oliveira (Eugenio Oliveira)	[43] [44]
30	Martha Palmer (Martha Stone Palmer)	[31]
31	Seung-Taek Park	[19]
32	David C. Parkes	[5] [9] [10] [16]
33	Dmitry Pavlov	[20]
34	David M. Pennock (David Pennock)	[12] [18] [19] [20] [22] [26]
35	Nemanja Petrovic	[40]
36	Alexandrin Popescul	[8] [12] [18] [20] [22] [25] [26]
37	Binyamin Rosenfeld	[39]
38	Jeffrey R. Sachs	[24]
39	Marcos Salganicoff	[2] [3]
40	Ted Sandler	[30] [37] [42]
41	Luís Sarmento	[43] [44]
42	Andrew I. Schein	[18] [26] [30] [31] [33]
43	Dale Schuurmans	[4]
44	Kui Shao	[24]
45	Robert A. Stine	[27] [29]
46	Partha Pratim Talukdar	[37]
47	Brian Tomasik	[45]
48	S. Phineas Upham	[35]
49	Annapurna Valluri	[36]
50	Jonathan M. Vinson	[1]
51	Casey Whitelaw	[40]
52	Mahesh Yaragatti	[42]
53	Jing Zhou	[27] [29]

Colors in the list of coauthors