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

Learning Bayesian Networks is NP-Complete. - David Maxwell Chickering (AISTATS, 1995)

A Transformational Characterization of Equivalent Bayesian Network Structures. - David Maxwell Chickering (UAI, 1995)

On Finding a Cycle Basis with a Shortest Maximal Cycle. - David Maxwell Chickering; Dan Geiger; David Heckerman (Inf. Process. Lett., 1995)

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. - David Heckerman; Dan Geiger; David Maxwell Chickering (Mach. Learn., 1995)

A Clinician's Tool for Analyzing Non-Compliance. - David Maxwell Chickering; Judea Pearl (AAAI/IAAI, Vol. 2, 1996)

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

Best-First Minimax Search. - Richard E. Korf; David Maxwell Chickering (Artif. Intell., 1996)

A Bayesian Approach to Learning Bayesian Networks with Local Structure. - David Maxwell Chickering; David Heckerman; Christopher Meek (UAI, 1997)

Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables. - David Maxwell Chickering; David Heckerman (Mach. Learn., 1997)

Learning Mixtures of DAG Models. - Bo Thiesson; Christopher Meek; David Maxwell Chickering; David Heckerman (UAI, 1998)

Fast Learning from Sparse Data. - David Maxwell Chickering; David Heckerman (UAI, 1999)

Targeted advertising with inventory management. - David Maxwell Chickering; David Heckerman (EC, 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 (UAI, 2000)

Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. - David Heckerman; David Maxwell Chickering; Christopher Meek; Robert Rounthwaite; Carl Myers Kadie (J. Mach. Learn. Res., 2000)

A comparison of scientific and engineering criteria for Bayesian model selection. - David Maxwell Chickering; David Heckerman (Stat. Comput., 2000)

Efficient Determination of Dynamic Split Points in a Decision Tree. - David Maxwell Chickering; Christopher Meek; Robert Rounthwaite (ICDM, 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, 2001)

A Bayesian Approach to Tackling Hard Computational Problems (Preliminary Report). - Eric Horvitz; Yongshao Ruan; Carla P. Gomes; Henry A. Kautz; Bart Selman; David Maxwell Chickering (Electron. Notes Discret. Math., 2001)

Autoregressive Tree Models for Time-Series Analysis. - Christopher Meek; David Maxwell Chickering; David Heckerman (SDM, 2002)

Finding Optimal Bayesian Networks. - David Maxwell Chickering; Christopher Meek (UAI, 2002)

Learning Equivalence Classes of Bayesian-Network Structures. - David Maxwell Chickering (J. Mach. Learn. Res., 2002)

Optimal Structure Identification With Greedy Search. - David Maxwell Chickering (J. Mach. Learn. Res., 2002)

Learning Bayesian Networks From Dependency Networks: A Preliminary Study. - Geoff Hulten; David Maxwell Chickering; David Heckerman (AISTATS, 2003)

Practically Perfect. - Christopher Meek; David Maxwell Chickering (UAI, 2003)

Targeted Advertising on the Web with Inventory Management. - David Maxwell Chickering; David Heckerman (Interfaces, 2003)

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

Large-Sample Learning of Bayesian Networks is NP-Hard. - David Maxwell Chickering; David Heckerman; Christopher Meek (J. Mach. Learn. Res., 2004)

The Markov Assumption in Spoken Dialogue Management. - Tim Paek; David Maxwell Chickering (SIGDIAL Workshop, 2005)

Improving Cloaking Detection using Search Query Popularity and Monetizability. - Kumar Chellapilla; David Maxwell Chickering (AIRWeb, 2006)

On the incompatibility of faithfulness and monotone DAG faithfulness. - David Maxwell Chickering; Christopher Meek (Artif. Intell., 2006)

Evaluating the Markov assumption in Markov Decision Processes for spoken dialogue management. - Tim Paek; David Maxwell Chickering (Lang. Resour. Evaluation, 2006)

Modeling Contextual Factors of Click Rates. - Hila Becker; Christopher Meek; David Maxwell Chickering (AAAI, 2007)

Personalizing influence diagrams: applying online learning strategies to dialogue management. - David Maxwell Chickering; Tim Paek (User Model. User Adapt. Interact., 2007)

Improving command and control speech recognition on mobile devices: using predictive user models for language modeling. - Tim Paek; David Maxwell Chickering (User Model. User Adapt. Interact., 2007)

Incorporating user utility into sponsored-search auctions. - Yagil Engel; David Maxwell Chickering (AAMAS (3), 2008)

Here or There. - Ben Carterette; Paul N. Bennett; David Maxwell Chickering; Susan T. Dumais (ECIR, 2008)

Mining recommendations from the web. - Guy Shani; David Maxwell Chickering; Christopher Meek (RecSys, 2008)

Rapidly Deploying Grammar-Based Speech Applications with Active Learning and Back-off Grammars. - Tim Paek; Sudeep Gandhe; Max Chickering (SIGDIAL Workshop, 2008)

Market Design for a P2P Backup System. - Sven Seuken; Denis Xavier Charles; Max Chickering; Sidd Puri (AMMA, 2009)

Intentions: a game for classifying search query intent. - Edith Law; Anton Mityagin; David Maxwell Chickering (CHI Extended Abstracts, 2009)

Picture this: preferences for image search. - Paul N. Bennett; David Maxwell Chickering; Anton Mityagin (KDD Workshop on Human Computation, 2009)

Learning consensus opinion: mining data from a labeling game. - Paul N. Bennett; David Maxwell Chickering; Anton Mityagin (WWW, 2009)

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

Fast algorithms for finding matchings in lopsided bipartite graphs with applications to display ads. - Denis Xavier Charles; Max Chickering; Nikhil R. Devanur; Kamal Jain; Manan Sanghi (EC, 2010)

Market design & analysis for a P2P backup system. - Sven Seuken; Denis Xavier Charles; Max Chickering; Sidd Puri (EC, 2010)

The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising - Greg Linden; Christopher Meek; Max Chickering (CoRR, 2011)

Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (2004) - Max Chickering; Joseph Y. Halpern (CoRR, 2012)

Counterfactual Reasoning and Learning Systems - Léon Bottou; Jonas Peters; Joaquin Quiñonero Candela; Denis Xavier Charles; Max Chickering; Elon Portugaly; Dipankar Ray; Patrice Y. Simard; Ed Snelson (CoRR, 2012)

Budget smoothing for internet ad auctions: a game theoretic approach. - Denis Xavier Charles; Deeparnab Chakrabarty; Max Chickering; Nikhil R. Devanur; Lei Wang 010 (EC, 2013)

Learning Equivalence Classes of Bayesian Networks Structures - David Maxwell Chickering (CoRR, 2013)

Counterfactual reasoning and learning systems: the example of computational advertising. - Léon Bottou; Jonas Peters; Joaquin Quiñonero Candela; Denis Xavier Charles; Max Chickering; Elon Portugaly; Dipankar Ray; Patrice Y. Simard; Ed Snelson (J. Mach. Learn. Res., 2013)

Approximating the shapley value via multi-issue decompositions. - Hossein Azari Soufiani; David Maxwell Chickering; Denis Xavier Charles; David C. Parkes (AAMAS, 2014)

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems. - 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 (CoRR, 2014)

ModelTracker: Redesigning Performance Analysis Tools for Machine Learning. - Saleema Amershi; Max Chickering; Steven Mark Drucker; Bongshin Lee; Patrice Y. Simard; Jina Suh (CHI, 2015)

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

Interactive Semantic Featuring for Text Classification. - Camille Jandot; Patrice Y. Simard; Max Chickering; David Grangier; Jina Suh (CoRR, 2016)

Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. - Paul N. Bennett; David Maxwell Chickering; Christopher Meek; Xiaojin Zhu 001 (WSDM, 2017)

Machine Teaching: A New Paradigm for Building Machine Learning Systems. - 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 (CoRR, 2017)

Statistically Efficient Greedy Equivalence Search. - Max Chickering (UAI, 2020)