David Maxwell Chickering

Publication Activity (10 Years)

Years Active: 1994-2017
Publications (10 Years): 2

Top Topics

Bilateral Negotiation

Machine Learning Systems

Nearest Neighbour

Linear Classifiers

Top Venues

Publications

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
Machine Teaching: A New Paradigm for Building Machine Learning Systems. CoRR (2017)
Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. WSDM (2017)
David Maxwell Chickering, Christopher Meek
Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. UAI (2015)
David Maxwell Chickering, Christopher Meek
Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. CoRR (2015)
Hossein Azari Soufiani, David Maxwell Chickering, Denis Xavier Charles, David C. Parkes
Approximating the shapley value via multi-issue decompositions. AAMAS (2014)
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
ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems. CoRR (2014)
David Maxwell Chickering, David Heckerman
A Decision Theoretic Approach to Targeted Advertising CoRR (2013)
David Maxwell Chickering
Learning Equivalence Classes of Bayesian Networks Structures CoRR (2013)
David Heckerman, Dan Geiger, David Maxwell Chickering
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data CoRR (2013)
David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
Dependency Networks for Collaborative Filtering and Data Visualization CoRR (2013)
Eric Horvitz, Yongshao Ruan, Carla P. Gomes, Henry A. Kautz, Bart Selman, David Maxwell Chickering
A Bayesian Approach to Tackling Hard Computational Problems CoRR (2013)
David Maxwell Chickering, Christopher Meek
Finding Optimal Bayesian Networks CoRR (2013)
Andrew Zimdars, David Maxwell Chickering, Christopher Meek
Using Temporal Data for Making Recommendations CoRR (2013)
David Maxwell Chickering, David Heckerman, Christopher Meek
A Bayesian Approach to Learning Bayesian Networks with Local Structure CoRR (2013)
David Maxwell Chickering, David Heckerman
Fast Learning from Sparse Data CoRR (2013)
David Maxwell Chickering, David Heckerman
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network CoRR (2013)
Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
Learning Mixtures of DAG Models CoRR (2013)
David Maxwell Chickering
A Transformational Characterization of Equivalent Bayesian Network Structures CoRR (2013)
Christopher Meek, David Maxwell Chickering
Practically Perfect CoRR (2012)
David Maxwell Chickering, Christopher Meek, David Heckerman
Large-Sample Learning of Bayesian Networks is NP-Hard CoRR (2012)
Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
ARMA Time-Series Modeling with Graphical Models CoRR (2012)
Tim Paek, Michael Gamon, Scott Counts, David Maxwell Chickering, Aman Dhesi
Predicting the Importance of Newsfeed Posts and Social Network Friends. AAAI (2010)
Paul N. Bennett, David Maxwell Chickering, Anton Mityagin
Learning consensus opinion: mining data from a labeling game. WWW (2009)
Edith Law, Anton Mityagin, David Maxwell Chickering
Intentions: a game for classifying search query intent. CHI Extended Abstracts (2009)
Paul N. Bennett, David Maxwell Chickering, Anton Mityagin
Picture this: preferences for image search. KDD Workshop on Human Computation (2009)
Yagil Engel, David Maxwell Chickering
Incorporating user utility into sponsored-search auctions. AAMAS (3) (2008)
Ben Carterette, Paul N. Bennett, David Maxwell Chickering, Susan T. Dumais
Here or There. ECIR (2008)
Guy Shani, David Maxwell Chickering, Christopher Meek
Mining recommendations from the web. RecSys (2008)
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) (2007)
David Maxwell Chickering, Tim Paek
Personalizing influence diagrams: applying online learning strategies to dialogue management. User Model. User Adapt. Interact. 17 (1-2) (2007)
Hila Becker, Christopher Meek, David Maxwell Chickering
Modeling Contextual Factors of Click Rates. AAAI (2007)
Tim Paek, David Maxwell Chickering
Evaluating the Markov assumption in Markov Decision Processes for spoken dialogue management. Lang. Resour. Evaluation 40 (1) (2006)
Kumar Chellapilla, David Maxwell Chickering
Improving Cloaking Detection using Search Query Popularity and Monetizability. AIRWeb (2006)
David Maxwell Chickering, Christopher Meek
On the incompatibility of faithfulness and monotone DAG faithfulness. Artif. Intell. 170 (8-9) (2006)
Tim Paek, David Maxwell Chickering
The Markov Assumption in Spoken Dialogue Management. SIGDIAL Workshop (2005)
Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
ARMA Time-Series Modeling with Graphical Models. UAI (2004)
David Maxwell Chickering, David Heckerman, Christopher Meek
Large-Sample Learning of Bayesian Networks is NP-Hard. J. Mach. Learn. Res. 5 (2004)
David Maxwell Chickering, David Heckerman
Targeted Advertising on the Web with Inventory Management. Interfaces 33 (5) (2003)
Geoff Hulten, David Maxwell Chickering, David Heckerman
Learning Bayesian Networks From Dependency Networks: A Preliminary Study. AISTATS (2003)
Christopher Meek, David Maxwell Chickering
Practically Perfect. UAI (2003)
David Maxwell Chickering, Christopher Meek, David Heckerman
Large-Sample Learning of Bayesian Networks is NP-Hard. UAI (2003)
Christopher Meek, David Maxwell Chickering, David Heckerman
Autoregressive Tree Models for Time-Series Analysis. SDM (2002)
David Maxwell Chickering, Christopher Meek
Finding Optimal Bayesian Networks. UAI (2002)
David Maxwell Chickering
Learning Equivalence Classes of Bayesian-Network Structures. J. Mach. Learn. Res. 2 (2002)
David Maxwell Chickering
Optimal Structure Identification With Greedy Search. J. Mach. Learn. Res. 3 (2002)
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). Electron. Notes Discret. Math. 9 (2001)
David Maxwell Chickering, Christopher Meek, Robert Rounthwaite
Efficient Determination of Dynamic Split Points in a Decision Tree. ICDM (2001)
Andrew Zimdars, David Maxwell Chickering, Christopher Meek
Using Temporal Data for Making Recommendations. UAI (2001)
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)
David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. J. Mach. Learn. Res. 1 (2000)
David Maxwell Chickering, David Heckerman
A Decision Theoretic Approach to Targeted Advertising. UAI (2000)
David Maxwell Chickering, David Heckerman
Targeted advertising with inventory management. EC (2000)
David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
Dependency Networks for Collaborative Filtering and Data Visualization. UAI (2000)
David Maxwell Chickering, David Heckerman
A comparison of scientific and engineering criteria for Bayesian model selection. Stat. Comput. 10 (1) (2000)
David Maxwell Chickering, David Heckerman
Fast Learning from Sparse Data. UAI (1999)
Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
Learning Mixtures of DAG Models. UAI (1998)
David Maxwell Chickering, David Heckerman
Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables. Mach. Learn. 29 (2-3) (1997)
David Maxwell Chickering, David Heckerman, Christopher Meek
A Bayesian Approach to Learning Bayesian Networks with Local Structure. UAI (1997)
David Heckerman, David Maxwell Chickering
A Comparison of Scientific and Engineering Criteria for Bayesian Model Selection. AISTATS (1997)
David Maxwell Chickering, David Heckerman
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network. UAI (1996)
Richard E. Korf, David Maxwell Chickering
Best-First Minimax Search. Artif. Intell. 84 (1-2) (1996)
Richard E. Korf, David Maxwell Chickering
Best-First Minimax Search. J. Int. Comput. Games Assoc. 19 (3) (1996)
David Maxwell Chickering
Learning Equivalence Classes of Bayesian Network Structures. UAI (1996)
David Maxwell Chickering, Judea Pearl
A Clinician's Tool for Analyzing Non-Compliance. AAAI/IAAI, Vol. 2 (1996)
David Maxwell Chickering
Learning Bayesian Networks is NP-Complete. AISTATS (1995)
David Heckerman, Dan Geiger, David Maxwell Chickering
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. Mach. Learn. 20 (3) (1995)
David Maxwell Chickering, Dan Geiger, David Heckerman
On Finding a Cycle Basis with a Shortest Maximal Cycle. Inf. Process. Lett. 54 (1) (1995)
David Maxwell Chickering
A Transformational Characterization of Equivalent Bayesian Network Structures. UAI (1995)
David Heckerman, Dan Geiger, David Maxwell Chickering
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. UAI (1994)
David Heckerman, Dan Geiger, David Maxwell Chickering
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. KDD Workshop (1994)
Richard E. Korf, David Maxwell Chickering
Best-First Minimax Search: Othello Results. AAAI (1994)