David Maxwell Chickering

Max Chickering

	2009
44		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
43		Sven Seuken, Denis Charles, Max Chickering, Sidd Puri: Market Design for a P2P Backup System. AMMA 2009: 55-57
42		Edith Law, Anton Mityagin, David Maxwell Chickering: Intentions: a game for classifying search query intent. CHI Extended Abstracts 2009: 3805-3810
41		Paul N. Bennett, David Maxwell Chickering, Anton Mityagin: Picture this: preferences for image search. KDD Workshop on Human Computation 2009: 25-26
40		Paul N. Bennett, David Maxwell Chickering, Anton Mityagin: Learning consensus opinion: mining data from a labeling game. WWW 2009: 121-130
	2008
39		Yagil Engel, David Maxwell Chickering: Incorporating user utility into sponsored-search auctions. AAMAS (3) 2008: 1565-1568
38		Ben Carterette, Paul N. Bennett, David Maxwell Chickering, Susan T. Dumais: Here or There. ECIR 2008: 16-27
37		Guy Shani, David Maxwell Chickering, Christopher Meek: Mining recommendations from the web. RecSys 2008: 35-42
	2007
36		Hila Becker, Christopher Meek, David Maxwell Chickering: Modeling Contextual Factors of Click Rates. AAAI 2007: 1310-1315
35		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)
34		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
33		Kumar Chellapilla, David Maxwell Chickering: Improving Cloaking Detection using Search Query Popularity and Monetizability. AIRWeb 2006: 17-23
32		David Maxwell Chickering, Christopher Meek: On the incompatibility of faithfulness and monotone DAG faithfulness. Artif. Intell. 170(8-9): 653-666 (2006)
	2004
31		David Maxwell Chickering, Joseph Y. Halpern: UAI '04, Proceedings of the 20th Conference in Uncertainty in Artificial Intelligence, July 7-11 2004, Banff, Canada 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	[44]
2	Hila Becker	[36]
3	Paul N. Bennett	[38] [40] [41] [44]
4	Ben Carterette	[38]
5	Raman Chandrasekar	[44]
6	Denis Charles	[43]
7	Kumar Chellapilla	[33]
8	Susan T. Dumais	[38]
9	Yagil Engel	[39]
10	Dan Geiger	[1] [2] [4] [5]
11	Carla P. Gomes	[19] [21]
12	Joseph Y. Halpern	[31]
13	David Heckerman	[1] [2] [4] [5] [8] [11] [12] [13] [14] [15] [16] [17] [18] [26] [28] [29] [30]
14	Eric Horvitz	[19] [21]
15	Panagiotis G. Ipeirotis	[44]
16	Carl Myers Kadie	[15] [17]
17	Henry A. Kautz	[19] [21]
18	Richard E. Korf	[3] [7]
19	Edith Law	[42] [44]
20	Christopher Meek	[12] [13] [15] [17] [20] [22] [25] [26] [27] [28] [29] [30] [32] [36] [37]
21	Anton Mityagin	[40] [41] [42] [44]
22	Tim Paek	[34] [35]
23	Judea Pearl	[10]
24	Foster J. Provost	[44]
25	Sidd Puri	[43]
26	Robert Rounthwaite	[15] [17] [22]
27	Yongshao Ruan	[19] [21]
28	Bart Selman	[19] [21]
29	Sven Seuken	[43]
30	Guy Shani	[37]
31	Bo Thiesson	[13] [30]
32	Andrew Zimdars	[20]

Colors in the list of coauthors