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NL-EDIT: Correcting semantic parse errors through natural language interaction


Mar 26, 2021
Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo Ramos, Ahmed Hassan Awadallah

* NAACL 2021 

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Structure-Grounded Pretraining for Text-to-SQL


Oct 24, 2020
Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson


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Machine Teaching: A New Paradigm for Building Machine Learning Systems


Aug 11, 2017
Patrice Y. Simard, Saleema Amershi, David M. Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Christopher Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing

* Also available at: http://aka.ms/machineteachingpaper 

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A Characterization of Prediction Errors


Nov 18, 2016
Christopher Meek


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Analysis of a Design Pattern for Teaching with Features and Labels


Nov 18, 2016
Christopher Meek, Patrice Simard, Xiaojin Zhu

* Also available at https://www.microsoft.com/en-us/research/publication/a-design-pattern-for-teaching-with-features-and-labels/ 

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Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations


Jun 06, 2015
David Maxwell Chickering, Christopher Meek

* Full version of UAI paper 

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Asymptotic Model Selection for Directed Networks with Hidden Variables


May 16, 2015
Dan Geiger, David Heckerman, Christopher Meek

* Appears in Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI1996) 

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Structure and Parameter Learning for Causal Independence and Causal Interaction Models


May 16, 2015
Christopher Meek, David Heckerman

* Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997) 

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A Bayesian Approach to Learning Bayesian Networks with Local Structure


May 16, 2015
David Maxwell Chickering, David Heckerman, Christopher Meek

* Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997) 

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Learning Mixtures of DAG Models


May 16, 2015
Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman

* Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998) 

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CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence


May 16, 2015
Carl Kadie, Christopher Meek, David Heckerman

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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Regularized Minimax Conditional Entropy for Crowdsourcing


Mar 25, 2015
Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek, Nihar B. Shah

* 31 pages 

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Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003)


Aug 28, 2014
Christopher Meek, Uffe Kjaerulff


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Causal Inference in the Presence of Latent Variables and Selection Bias


Feb 20, 2013
Peter L. Spirtes, Christopher Meek, Thomas S. Richardson

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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Strong Completeness and Faithfulness in Bayesian Networks


Feb 20, 2013
Christopher Meek

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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Causal Inference and Causal Explanation with Background Knowledge


Feb 20, 2013
Christopher Meek

* Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995) 

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Models and Selection Criteria for Regression and Classification


Feb 06, 2013
David Heckerman, Christopher Meek

* Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997) 

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Graphical Models and Exponential Families


Jan 30, 2013
Dan Geiger, Christopher Meek

* Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998) 

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Quantifier Elimination for Statistical Problems


Jan 23, 2013
Dan Geiger, Christopher Meek

* Appears in Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI1999) 

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Dependency Networks for Collaborative Filtering and Data Visualization


Jan 16, 2013
David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie

* Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000) 

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Perfect Tree-Like Markovian Distributions


Jan 16, 2013
Ann Becker, Dan Geiger, Christopher Meek

* Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000) 

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Using Temporal Data for Making Recommendations


Jan 10, 2013
Andrew Zimdars, David Maxwell Chickering, Christopher Meek

* Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001) 

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Staged Mixture Modelling and Boosting


Dec 12, 2012
Christopher Meek, Bo Thiesson, David Heckerman

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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Factorization of Discrete Probability Distributions


Dec 12, 2012
Dan Geiger, Christopher Meek, Bernd Sturmfels

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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Finding Optimal Bayesian Networks


Dec 12, 2012
David Maxwell Chickering, Christopher Meek

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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Practically Perfect


Oct 19, 2012
Christopher Meek, David Maxwell Chickering

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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Large-Sample Learning of Bayesian Networks is NP-Hard


Oct 19, 2012
David Maxwell Chickering, Christopher Meek, David Heckerman

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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ARMA Time-Series Modeling with Graphical Models


Aug 08, 2012
Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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Inference for Multiplicative Models


Jun 13, 2012
Ydo Wexler, Christopher Meek

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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