David Maxwell Chickering

Max Chickering

	2011
49		Greg Linden, Christopher Meek, Max Chickering: The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising CoRR abs/1109.6263: (2011)
	2010
48		Tim Paek, Michael Gamon, Scott Counts, David Maxwell Chickering, Aman Dhesi: Predicting the Importance of Newsfeed Posts and Social Network Friends. AAAI 2010
47		Denis Xavier Charles, Max Chickering, Nikhil R. Devanur, Kamal Jain, Manan Sanghi: Fast algorithms for finding matchings in lopsided bipartite graphs with applications to display ads. ACM Conference on Electronic Commerce 2010: 121-128
46		Sven Seuken, Denis Xavier Charles, Max Chickering, Sidd Puri: Market design & analysis for a P2P backup system. ACM Conference on Electronic Commerce 2010: 97-108
	2009
45		Paul N. Bennett, Raman Chandrasekar, Max Chickering, Panagiotis G. Ipeirotis, Edith Law, Anton Mityagin, Foster J. Provost, Luis von Ahn: Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009 ACM 2009
44		Sven Seuken, Denis Xavier Charles, Max Chickering, Sidd Puri: Market Design for a P2P Backup System. AMMA 2009: 55-57
43		Edith Law, Anton Mityagin, David Maxwell Chickering: Intentions: a game for classifying search query intent. CHI Extended Abstracts 2009: 3805-3810
42		Paul N. Bennett, David Maxwell Chickering, Anton Mityagin: Picture this: preferences for image search. KDD Workshop on Human Computation 2009: 25-26
41		Paul N. Bennett, David Maxwell Chickering, Anton Mityagin: Learning consensus opinion: mining data from a labeling game. WWW 2009: 121-130
	2008
40		Yagil Engel, David Maxwell Chickering: Incorporating user utility into sponsored-search auctions. AAMAS (3) 2008: 1565-1568
39		Ben Carterette, Paul N. Bennett, David Maxwell Chickering, Susan T. Dumais: Here or There. ECIR 2008: 16-27
38		Guy Shani, David Maxwell Chickering, Christopher Meek: Mining recommendations from the web. RecSys 2008: 35-42
	2007
37		Hila Becker, Christopher Meek, David Maxwell Chickering: Modeling Contextual Factors of Click Rates. AAAI 2007: 1310-1315
36		David Maxwell Chickering, Tim Paek: Personalizing influence diagrams: applying online learning strategies to dialogue management. User Model. User-Adapt. Interact. 17(1-2): 71-91 (2007)
35		Tim Paek, David Maxwell Chickering: Improving command and control speech recognition on mobile devices: using predictive user models for language modeling. User Model. User-Adapt. Interact. 17(1-2): 93-117 (2007)
	2006
34		Kumar Chellapilla, David Maxwell Chickering: Improving Cloaking Detection using Search Query Popularity and Monetizability. AIRWeb 2006: 17-23
33		David Maxwell Chickering, Christopher Meek: On the incompatibility of faithfulness and monotone DAG faithfulness. Artif. Intell. 170(8-9): 653-666 (2006)
32		Tim Paek, David Maxwell Chickering: Evaluating the Markov assumption in Markov Decision Processes for spoken dialogue management. Language Resources and Evaluation 40(1): 47-66 (2006)
	2004
31		David Maxwell Chickering, Joseph Y. Halpern: UAI '04, Proceedings of the 20th Conference in Uncertainty in Artificial Intelligence, Banff, Canada, July 7-11, 2004 AUAI Press 2004
30		Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek: ARMA Time-Series Modeling with Graphical Models. UAI 2004: 552-560
29		David Maxwell Chickering, David Heckerman, Christopher Meek: Large-Sample Learning of Bayesian Networks is NP-Hard. Journal of Machine Learning Research 5: 1287-1330 (2004)
	2003
28		David Maxwell Chickering, Christopher Meek, David Heckerman: Large-Sample Learning of Bayesian Networks is NP-Hard. UAI 2003: 124-133
27		Christopher Meek, David Maxwell Chickering: Practically Perfect. UAI 2003: 411-416
	2002
26		Christopher Meek, David Maxwell Chickering, David Heckerman: Autoregressive Tree Models for Time-Series Analysis. SDM 2002
25		David Maxwell Chickering, Christopher Meek: Finding Optimal Bayesian Networks. UAI 2002: 94-102
24		David Maxwell Chickering: Learning Equivalence Classes of Bayesian-Network Structures. Journal of Machine Learning Research 2: 445-498 (2002)
23		David Maxwell Chickering: Optimal Structure Identification With Greedy Search. Journal of Machine Learning Research 3: 507-554 (2002)
	2001
22		David Maxwell Chickering, Christopher Meek, Robert Rounthwaite: Efficient Determination of Dynamic Split Points in a Decision Tree. ICDM 2001: 91-98
21		Eric Horvitz, Yongshao Ruan, Carla P. Gomes, Henry A. Kautz, Bart Selman, David Maxwell Chickering: A Bayesian Approach to Tackling Hard Computational Problems. UAI 2001: 235-244
20		Andrew Zimdars, David Maxwell Chickering, Christopher Meek: Using Temporal Data for Making Recommendations. UAI 2001: 580-588
19		Eric Horvitz, Yongshao Ruan, Carla P. Gomes, Henry A. Kautz, Bart Selman, David Maxwell Chickering: A Bayesian Approach to Tackling Hard Computational Problems (Preliminary Report). Electronic Notes in Discrete Mathematics 9: 376-391 (2001)
	2000
18		David Maxwell Chickering, David Heckerman: Targeted advertising with inventory management. ACM Conference on Electronic Commerce 2000: 145-149
17		David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie: Dependency Networks for Collaborative Filtering and Data Visualization. UAI 2000: 264-273
16		David Maxwell Chickering, David Heckerman: A Decision Theoretic Approach to Targeted Advertising. UAI 2000: 82-88
15		David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie: Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. Journal of Machine Learning Research 1: 49-75 (2000)
	1999
14		David Maxwell Chickering, David Heckerman: Fast Learning from Sparse Data. UAI 1999: 109-115
	1998
13		Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman: Learning Mixtures of DAG Models. UAI 1998: 504-513
	1997
12		David Maxwell Chickering, David Heckerman, Christopher Meek: A Bayesian Approach to Learning Bayesian Networks with Local Structure. UAI 1997: 80-89
11		David Maxwell Chickering, David Heckerman: Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables. Machine Learning 29(2-3): 181-212 (1997)
	1996
10		David Maxwell Chickering, Judea Pearl: A Clinician's Tool for Analyzing Non-Compliance. AAAI/IAAI, Vol. 2 1996: 1269-1276
9		David Maxwell Chickering: Learning Equivalence Classes of Bayesian Network Structures. UAI 1996: 150-157
8		David Maxwell Chickering, David Heckerman: Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network. UAI 1996: 158-168
7		Richard E. Korf, David Maxwell Chickering: Best-First Minimax Search. Artif. Intell. 84(1-2): 299-337 (1996)
	1995
6		David Maxwell Chickering: A Transformational Characterization of Equivalent Bayesian Network Structures. UAI 1995: 87-98
5		David Maxwell Chickering, Dan Geiger, David Heckerman: On Finding a Cycle Basis with a Shortest Maximal Cycle. Inf. Process. Lett. 54(1): 55-58 (1995)
4		David Heckerman, Dan Geiger, David Maxwell Chickering: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. Machine Learning 20(3): 197-243 (1995)
	1994
3		Richard E. Korf, David Maxwell Chickering: Best-First Minimax Search: Othello Results. AAAI 1994: 1365-1370
2		David Heckerman, Dan Geiger, David Maxwell Chickering: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. KDD Workshop 1994: 85-96
1		David Heckerman, Dan Geiger, David Maxwell Chickering: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. UAI 1994: 293-301

Coauthor Index

1	Luis von Ahn	[45]
2	Hila Becker	[37]
3	Paul N. Bennett	[39] [41] [42] [45]
4	Ben Carterette	[39]
5	Raman Chandrasekar	[45]
6	Denis Xavier Charles	[44] [46] [47]
7	Kumar Chellapilla	[34]
8	Scott Counts	[48]
9	Nikhil R. Devanur	[47]
10	Aman Dhesi	[48]
11	Susan T. Dumais	[39]
12	Yagil Engel	[40]
13	Michael Gamon	[48]
14	Dan Geiger	[1] [2] [4] [5]
15	Carla P. Gomes	[19] [21]
16	Joseph Y. Halpern	[31]
17	David Heckerman	[1] [2] [4] [5] [8] [11] [12] [13] [14] [15] [16] [17] [18] [26] [28] [29] [30]
18	Eric Horvitz	[19] [21]
19	Panagiotis G. Ipeirotis (Panos Ipeirotis)	[45]
20	Kamal Jain	[47]
21	Carl Myers Kadie	[15] [17]
22	Henry A. Kautz	[19] [21]
23	Richard E. Korf	[3] [7]
24	Edith Law (Edith L. M. Law)	[43] [45]
25	Greg Linden	[49]
26	Christopher Meek	[12] [13] [15] [17] [20] [22] [25] [26] [27] [28] [29] [30] [33] [37] [38] [49]
27	Anton Mityagin	[41] [42] [43] [45]
28	Tim Paek	[32] [35] [36] [48]
29	Judea Pearl	[10]
30	Foster J. Provost	[45]
31	Sidd Puri	[44] [46]
32	Robert Rounthwaite	[15] [17] [22]
33	Yongshao Ruan	[19] [21]
34	Manan Sanghi	[47]
35	Bart Selman	[19] [21]
36	Sven Seuken	[44] [46]
37	Guy Shani	[38]
38	Bo Thiesson	[13] [30]
39	Andrew Zimdars	[20]

Colors in the list of coauthors

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