Chickering, David Maxwell

30 publications

UAI 2015 Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations David Maxwell Chickering, Christopher Meek

AAAI 2010 Predicting the Importance of Newsfeed Posts and Social Network Friends Tim Paek, Michael Gamon, Scott Counts, David Maxwell Chickering, Aman Dhesi

AAAI 2007 Modeling Contextual Factors of Click Rates Hila Becker, Christopher Meek, David Maxwell Chickering

UAI 2004 ARMA Time-Series Modeling with Graphical Models Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek

JMLR 2004 Large-Sample Learning of Bayesian Networks Is NP-Hard David Maxwell Chickering, David Heckerman, Christopher Meek

UAI 2004 UAI '04, Proceedings of the 20th Conference in Uncertainty in Artificial Intelligence, Banff, Canada, July 7-11, 2004 David Maxwell Chickering, Joseph Y. Halpern

UAI 2003 Large-Sample Learning of Bayesian Networks Is NP-Hard David Maxwell Chickering, Christopher Meek, David Heckerman

AISTATS 2003 Learning Bayesian Networks from Dependency Networks: A Preliminary Study Geoff Hulten, David Maxwell Chickering, David Heckerman

UAI 2003 Practically Perfect Christopher Meek, David Maxwell Chickering

UAI 2002 Finding Optimal Bayesian Networks David Maxwell Chickering, Christopher Meek

JMLR 2002 Learning Equivalence Classes of Bayesian-Network Structures David Maxwell Chickering

JMLR 2002 Optimal Structure Identification with Greedy Search David Maxwell Chickering

UAI 2001 A Bayesian Approach to Tackling Hard Computational Problems Eric Horvitz, Yongshao Ruan, Carla P. Gomes, Henry A. Kautz, Bart Selman, David Maxwell Chickering

UAI 2001 Using Temporal Data for Making Recommendations Andrew Zimdars, David Maxwell Chickering, Christopher Meek

UAI 2000 A Decision Theoretic Approach to Targeted Advertising David Maxwell Chickering, David Heckerman

UAI 2000 Dependency Networks for Collaborative Filtering and Data Visualization David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie

JMLR 2000 Dependency Networks for Inference, Collaborative Filtering, and Data Visualization David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie

UAI 1999 Fast Learning from Sparse Data David Maxwell Chickering, David Heckerman

UAI 1998 Learning Mixtures of DAG Models Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman

UAI 1997 A Bayesian Approach to Learning Bayesian Networks with Local Structure David Maxwell Chickering, David Heckerman, Christopher Meek

AISTATS 1997 A Comparison of Scientific and Engineering Criteria for Bayesian Model Selection David Heckerman, David Maxwell Chickering

MLJ 1997 Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables David Maxwell Chickering, David Heckerman

AAAI 1996 A Clinician's Tool for Analyzing Non-Compliance David Maxwell Chickering, Judea Pearl

UAI 1996 Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network David Maxwell Chickering, David Heckerman

UAI 1996 Learning Equivalence Classes of Bayesian Network Structures David Maxwell Chickering

UAI 1995 A Transformational Characterization of Equivalent Bayesian Network Structures David Maxwell Chickering

AISTATS 1995 Learning Bayesian Networks: Search Methods and Experimental Results David Maxwell Chickering, Dan Geiger, David Heckerman

MLJ 1995 Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman, Dan Geiger, David Maxwell Chickering

AAAI 1994 Best-First Minimax Search: Othello Results Richard E. Korf, David Maxwell Chickering

UAI 1994 Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman, Dan Geiger, David Maxwell Chickering