David Maxwell Chickering

72 papers A* 6A 25Journal 34Unranked 7

Year	Rank	Type	Title / Venue / Authors
2017	A	`conf`	Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. WSDM Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu
2017	J	`jnl`	Machine Teaching: A New Paradigm for Building Machine Learning Systems. CoRR Patrice Y. Simard, Saleema Amershi, David Maxwell Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Christopher Meek, Gonzalo A. Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
2015	A	`conf`	Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. UAI David Maxwell Chickering, Christopher Meek
2015	J	`jnl`	Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. CoRR David Maxwell Chickering, Christopher Meek
2014	A	`conf`	Approximating the shapley value via multi-issue decompositions. AAMAS Hossein Azari Soufiani, David Maxwell Chickering, Denis Xavier Charles, David C. Parkes
2014	J	`jnl`	ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems. CoRR Patrice Y. Simard, David Maxwell Chickering, Aparna Lakshmiratan, Denis Xavier Charles, Léon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh
2013	J	`jnl`	A Bayesian Approach to Learning Bayesian Networks with Local Structure CoRR David Maxwell Chickering, David Heckerman, Christopher Meek
2013	J	`jnl`	A Bayesian Approach to Tackling Hard Computational Problems CoRR Eric Horvitz, Yongshao Ruan, Carla P. Gomes, Henry A. Kautz, Bart Selman, David Maxwell Chickering
2013	J	`jnl`	A Decision Theoretic Approach to Targeted Advertising CoRR David Maxwell Chickering, David Heckerman
2013	J	`jnl`	A Transformational Characterization of Equivalent Bayesian Network Structures CoRR David Maxwell Chickering
2013	J	`jnl`	Dependency Networks for Collaborative Filtering and Data Visualization CoRR David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
2013	J	`jnl`	Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network CoRR David Maxwell Chickering, David Heckerman
2013	J	`jnl`	Fast Learning from Sparse Data CoRR David Maxwell Chickering, David Heckerman
2013	J	`jnl`	Finding Optimal Bayesian Networks CoRR David Maxwell Chickering, Christopher Meek
2013	J	`jnl`	Learning Bayesian Networks: The Combination of Knowledge and Statistical Data CoRR David Heckerman, Dan Geiger, David Maxwell Chickering
2013	J	`jnl`	Learning Equivalence Classes of Bayesian Networks Structures CoRR David Maxwell Chickering
2013	J	`jnl`	Learning Mixtures of DAG Models CoRR Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
2013	J	`jnl`	Using Temporal Data for Making Recommendations CoRR Andrew Zimdars, David Maxwell Chickering, Christopher Meek
2012	J	`jnl`	ARMA Time-Series Modeling with Graphical Models CoRR Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
2012	J	`jnl`	Large-Sample Learning of Bayesian Networks is NP-Hard CoRR David Maxwell Chickering, Christopher Meek, David Heckerman
2012	J	`jnl`	Practically Perfect CoRR Christopher Meek, David Maxwell Chickering
2010	A*	`conf`	Predicting the Importance of Newsfeed Posts and Social Network Friends. AAAI Tim Paek, Michael Gamon, Scott Counts, David Maxwell Chickering, Aman Dhesi
2009	—	`conf`	Intentions: a game for classifying search query intent. CHI Extended Abstracts Edith Law, Anton Mityagin, David Maxwell Chickering
2009	A*	`conf`	Learning consensus opinion: mining data from a labeling game. WWW Paul N. Bennett, David Maxwell Chickering, Anton Mityagin
2009	—	`conf`	Picture this: preferences for image search. KDD Workshop on Human Computation Paul N. Bennett, David Maxwell Chickering, Anton Mityagin
2008	A	`conf`	Here or There. ECIR Ben Carterette, Paul N. Bennett, David Maxwell Chickering, Susan T. Dumais
2008	—	`conf`	Incorporating user utility into sponsored-search auctions. AAMAS (3) Yagil Engel, David Maxwell Chickering
2008	A	`conf`	Mining recommendations from the web. RecSys Guy Shani, David Maxwell Chickering, Christopher Meek
2007	J	`jnl`	Improving command and control speech recognition on mobile devices: using predictive user models for language modeling. User Model. User Adapt. Interact. Tim Paek, David Maxwell Chickering
2007	A*	`conf`	Modeling Contextual Factors of Click Rates. AAAI Hila Becker, Christopher Meek, David Maxwell Chickering
2007	J	`jnl`	Personalizing influence diagrams: applying online learning strategies to dialogue management. User Model. User Adapt. Interact. David Maxwell Chickering, Tim Paek
2006	J	`jnl`	Evaluating the Markov assumption in Markov Decision Processes for spoken dialogue management. Lang. Resour. Evaluation Tim Paek, David Maxwell Chickering
2006	—	`conf`	Improving Cloaking Detection using Search Query Popularity and Monetizability. AIRWeb Kumar Chellapilla, David Maxwell Chickering
2006	J	`jnl`	On the incompatibility of faithfulness and monotone DAG faithfulness. Artif. Intell. David Maxwell Chickering, Christopher Meek
2005	—	`conf`	The Markov Assumption in Spoken Dialogue Management. SIGDIAL Workshop Tim Paek, David Maxwell Chickering
2004	A	`conf`	ARMA Time-Series Modeling with Graphical Models. UAI Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
2004	J	`jnl`	Large-Sample Learning of Bayesian Networks is NP-Hard. J. Mach. Learn. Res. David Maxwell Chickering, David Heckerman, Christopher Meek
2004	A	`ed.`	UAI '04, Proceedings of the 20th Conference in Uncertainty in Artificial Intelligence, Banff, Canada, July 7-11, 2004 UAI David Maxwell Chickering, Joseph Y. Halpern
2003	A	`conf`	Large-Sample Learning of Bayesian Networks is NP-Hard. UAI David Maxwell Chickering, Christopher Meek, David Heckerman
2003	A	`conf`	Learning Bayesian Networks From Dependency Networks: A Preliminary Study. AISTATS Geoff Hulten, David Maxwell Chickering, David Heckerman
2003	A	`conf`	Practically Perfect. UAI Christopher Meek, David Maxwell Chickering
2003	J	`jnl`	Targeted Advertising on the Web with Inventory Management. Interfaces David Maxwell Chickering, David Heckerman
2002	A	`conf`	Autoregressive Tree Models for Time-Series Analysis. SDM Christopher Meek, David Maxwell Chickering, David Heckerman
2002	A	`conf`	Finding Optimal Bayesian Networks. UAI David Maxwell Chickering, Christopher Meek
2002	J	`jnl`	Learning Equivalence Classes of Bayesian-Network Structures. J. Mach. Learn. Res. David Maxwell Chickering
2002	J	`jnl`	Optimal Structure Identification With Greedy Search. J. Mach. Learn. Res. David Maxwell Chickering
2001	J	`jnl`	A Bayesian Approach to Tackling Hard Computational Problems (Preliminary Report). Electron. Notes Discret. Math. Eric Horvitz, Yongshao Ruan, Carla P. Gomes, Henry A. Kautz, Bart Selman, David Maxwell Chickering
2001	A	`conf`	A Bayesian Approach to Tackling Hard Computational Problems. UAI Eric Horvitz, Yongshao Ruan, Carla P. Gomes, Henry A. Kautz, Bart Selman, David Maxwell Chickering
2001	A*	`conf`	Efficient Determination of Dynamic Split Points in a Decision Tree. ICDM David Maxwell Chickering, Christopher Meek, Robert Rounthwaite
2001	A	`conf`	Using Temporal Data for Making Recommendations. UAI Andrew Zimdars, David Maxwell Chickering, Christopher Meek
2000	A	`conf`	A Decision Theoretic Approach to Targeted Advertising. UAI David Maxwell Chickering, David Heckerman
2000	J	`jnl`	A comparison of scientific and engineering criteria for Bayesian model selection. Stat. Comput. David Maxwell Chickering, David Heckerman
2000	A	`conf`	Dependency Networks for Collaborative Filtering and Data Visualization. UAI David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
2000	J	`jnl`	Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. J. Mach. Learn. Res. David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
2000	A*	`conf`	Targeted advertising with inventory management. EC David Maxwell Chickering, David Heckerman
1999	A	`conf`	Fast Learning from Sparse Data. UAI David Maxwell Chickering, David Heckerman
1998	A	`conf`	Learning Mixtures of DAG Models. UAI Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
1997	A	`conf`	A Bayesian Approach to Learning Bayesian Networks with Local Structure. UAI David Maxwell Chickering, David Heckerman, Christopher Meek
1997	A	`conf`	A Comparison of Scientific and Engineering Criteria for Bayesian Model Selection. AISTATS David Heckerman, David Maxwell Chickering
1997	J	`jnl`	Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables. Mach. Learn. David Maxwell Chickering, David Heckerman
1996	—	`conf`	A Clinician's Tool for Analyzing Non-Compliance. AAAI/IAAI, Vol. 2 David Maxwell Chickering, Judea Pearl
1996	J	`jnl`	Best-First Minimax Search. Artif. Intell. Richard E. Korf, David Maxwell Chickering
1996	J	`jnl`	Best-First Minimax Search. ICCA J. Richard E. Korf, David Maxwell Chickering
1996	A	`conf`	Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network. UAI David Maxwell Chickering, David Heckerman
1996	A	`conf`	Learning Equivalence Classes of Bayesian Network Structures. UAI David Maxwell Chickering
1995	A	`conf`	A Transformational Characterization of Equivalent Bayesian Network Structures. UAI David Maxwell Chickering
1995	A	`conf`	Learning Bayesian Networks is NP-Complete. AISTATS David Maxwell Chickering
1995	J	`jnl`	Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. Mach. Learn. David Heckerman, Dan Geiger, David Maxwell Chickering
1995	J	`jnl`	On Finding a Cycle Basis with a Shortest Maximal Cycle. Inf. Process. Lett. David Maxwell Chickering, Dan Geiger, David Heckerman
1994	A*	`conf`	Best-First Minimax Search: Othello Results. AAAI Richard E. Korf, David Maxwell Chickering
1994	—	`conf`	Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. KDD Workshop David Heckerman, Dan Geiger, David Maxwell Chickering
1994	A	`conf`	Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. UAI David Heckerman, Dan Geiger, David Maxwell Chickering