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David Maxwell Chickering
Max Chickering
2010 – today
- 2013
[c34]Denis Xavier Charles, Deeparnab Chakrabarty, Max Chickering, Nikhil R. Devanur, Lei Wang: Budget smoothing for internet ad auctions: a game theoretic approach. ACM Conference on Electronic Commerce 2013: 163-180- [i18]David Maxwell Chickering, Christopher Meek: Finding Optimal Bayesian Networks. CoRR abs/1301.0561 (2013)
- [i17]Eric Horvitz, Yongshao Ruan, Carla P. Gomes, Henry A. Kautz, Bart Selman, David Maxwell Chickering: A Bayesian Approach to Tackling Hard Computational Problems. CoRR abs/1301.2279 (2013)
- [i16]Andrew Zimdars, David Maxwell Chickering, Christopher Meek: Using Temporal Data for Making Recommendations. CoRR abs/1301.2320 (2013)
- [i15]David Maxwell Chickering, David Heckerman: A Decision Theoretic Approach to Targeted Advertising. CoRR abs/1301.3842 (2013)
- [i14]David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie: Dependency Networks for Collaborative Filtering and Data Visualization. CoRR abs/1301.3862 (2013)
- [i13]David Maxwell Chickering, David Heckerman: Fast Learning from Sparse Data. CoRR abs/1301.6685 (2013)
- [i12]Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman: Learning Mixtures of DAG Models. CoRR abs/1301.7415 (2013)
- [i11]David Maxwell Chickering, David Heckerman, Christopher Meek: A Bayesian Approach to Learning Bayesian Networks with Local Structure. CoRR abs/1302.1528 (2013)
- [i10]David Maxwell Chickering: Learning Equivalence Classes of Bayesian Networks Structures. CoRR abs/1302.3566 (2013)
- [i9]David Maxwell Chickering, David Heckerman: Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network. CoRR abs/1302.3567 (2013)
- [i8]David Maxwell Chickering: A Transformational Characterization of Equivalent Bayesian Network Structures. CoRR abs/1302.4938 (2013)
- [i7]David Heckerman, Dan Geiger, David Maxwell Chickering: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. CoRR abs/1302.6815 (2013)
- 2012
- [i6]Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek: ARMA Time-Series Modeling with Graphical Models. CoRR abs/1207.4162 (2012)
- [i5]Max Chickering, Joseph Y. Halpern: Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (2004). CoRR abs/1208.5161 (2012)
- [i4]Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, Ed Snelson: Counterfactual Reasoning and Learning Systems. CoRR abs/1209.2355 (2012)
- [i3]David Maxwell Chickering, Christopher Meek, David Heckerman: Large-Sample Learning of Bayesian Networks is NP-Hard. CoRR abs/1212.2468 (2012)
- [i2]
- 2011
- [i1]Greg Linden, Christopher Meek, Max Chickering: The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising. CoRR abs/1109.6263 (2011)
- 2010
- [c33]Tim Paek, Michael Gamon, Scott Counts, David Maxwell Chickering, Aman Dhesi: Predicting the Importance of Newsfeed Posts and Social Network Friends. AAAI 2010
- [c32]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
- [c31]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
2000 – 2009
- 2009
- [c30]Sven Seuken, Denis Xavier Charles, Max Chickering, Sidd Puri: Market Design for a P2P Backup System. AMMA 2009: 55-57
- [c29]Edith Law, Anton Mityagin, David Maxwell Chickering: Intentions: a game for classifying search query intent. CHI Extended Abstracts 2009: 3805-3810
- [c28]Paul N. Bennett, David Maxwell Chickering, Anton Mityagin: Picture this: preferences for image search. KDD Workshop on Human Computation 2009: 25-26
- [c27]Paul N. Bennett, David Maxwell Chickering, Anton Mityagin: Learning consensus opinion: mining data from a labeling game. WWW 2009: 121-130
- [e2]Paul N. Bennett, Raman Chandrasekar, Max Chickering, Panagiotis G. Ipeirotis, Edith Law, Anton Mityagin, Foster J. Provost, Luis von Ahn (Eds.): Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009. ACM 2009, ISBN 978-1-60558-672-4
- 2008
- [c26]Yagil Engel, David Maxwell Chickering: Incorporating user utility into sponsored-search auctions. AAMAS (3) 2008: 1565-1568
- [c25]Ben Carterette, Paul N. Bennett, David Maxwell Chickering, Susan T. Dumais: Here or There. ECIR 2008: 16-27
- [c24]Guy Shani, David Maxwell Chickering, Christopher Meek: Mining recommendations from the web. RecSys 2008: 35-42
- 2007
- [j13]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)
- [j12]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)
- [c23]Hila Becker, Christopher Meek, David Maxwell Chickering: Modeling Contextual Factors of Click Rates. AAAI 2007: 1310-1315
- 2006
- [j11]David Maxwell Chickering, Christopher Meek: On the incompatibility of faithfulness and monotone DAG faithfulness. Artif. Intell. 170(8-9): 653-666 (2006)
- [j10]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)
- [c22]Kumar Chellapilla, David Maxwell Chickering: Improving Cloaking Detection using Search Query Popularity and Monetizability. AIRWeb 2006: 17-23
- 2004
- [j9]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)
- [c21]Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek: ARMA Time-Series Modeling with Graphical Models. UAI 2004: 552-560
- [e1]David Maxwell Chickering, Joseph Y. Halpern (Eds.): UAI '04, Proceedings of the 20th Conference in Uncertainty in Artificial Intelligence, Banff, Canada, July 7-11, 2004. AUAI Press 2004, ISBN 0-9749039-0-6
- 2003
- [c20]David Maxwell Chickering, Christopher Meek, David Heckerman: Large-Sample Learning of Bayesian Networks is NP-Hard. UAI 2003: 124-133
- [c19]
- 2002
- [j8]David Maxwell Chickering: Learning Equivalence Classes of Bayesian-Network Structures. Journal of Machine Learning Research 2: 445-498 (2002)
- [j7]David Maxwell Chickering: Optimal Structure Identification With Greedy Search. Journal of Machine Learning Research 3: 507-554 (2002)
- [c18]Christopher Meek, David Maxwell Chickering, David Heckerman: Autoregressive Tree Models for Time-Series Analysis. SDM 2002
- [c17]
- 2001
- [j6]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)
- [c16]David Maxwell Chickering, Christopher Meek, Robert Rounthwaite: Efficient Determination of Dynamic Split Points in a Decision Tree. ICDM 2001: 91-98
- [c15]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
- [c14]Andrew Zimdars, David Maxwell Chickering, Christopher Meek: Using Temporal Data for Making Recommendations. UAI 2001: 580-588
- 2000
- [j5]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)
- [c13]David Maxwell Chickering, David Heckerman: Targeted advertising with inventory management. ACM Conference on Electronic Commerce 2000: 145-149
- [c12]David Maxwell Chickering, David Heckerman: A Decision Theoretic Approach to Targeted Advertising. UAI 2000: 82-88
- [c11]David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie: Dependency Networks for Collaborative Filtering and Data Visualization. UAI 2000: 264-273
1990 – 1999
- 1999
- [c10]
- 1998
- [c9]Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman: Learning Mixtures of DAG Models. UAI 1998: 504-513
- 1997
- [j4]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)
- [c8]David Maxwell Chickering, David Heckerman, Christopher Meek: A Bayesian Approach to Learning Bayesian Networks with Local Structure. UAI 1997: 80-89
- 1996
- [j3]Richard E. Korf, David Maxwell Chickering: Best-First Minimax Search. Artif. Intell. 84(1-2): 299-337 (1996)
- [c7]David Maxwell Chickering, Judea Pearl: A Clinician's Tool for Analyzing Non-Compliance. AAAI/IAAI, Vol. 2 1996: 1269-1276
- [c6]David Maxwell Chickering: Learning Equivalence Classes of Bayesian Network Structures. UAI 1996: 150-157
- [c5]David Maxwell Chickering, David Heckerman: Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network. UAI 1996: 158-168
- 1995
- [j2]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)
- [j1]David Heckerman, Dan Geiger, David Maxwell Chickering: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. Machine Learning 20(3): 197-243 (1995)
- [c4]David Maxwell Chickering: A Transformational Characterization of Equivalent Bayesian Network Structures. UAI 1995: 87-98
- 1994
- [c3]Richard E. Korf, David Maxwell Chickering: Best-First Minimax Search: Othello Results. AAAI 1994: 1365-1370
- [c2]David Heckerman, Dan Geiger, David Maxwell Chickering: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. KDD Workshop 1994: 85-96
- [c1]David Heckerman, Dan Geiger, David Maxwell Chickering: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. UAI 1994: 293-301
Coauthor Index
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last updated on 2013-06-11 12:19 CEST by the dblp team