David Maxwell Chickering

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Best-First Minimax Search

Richard E. Korf, David Maxwell Chickering, R. Korf, 1996, Artificial Intelligence.

The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising pdf

David Maxwell Chickering, Greg Linden, Christopher Meek, 2011, ArXiv.

Best-First Minimax Search

Richard E. Korf, David Maxwell Chickering, R. Korf, 1996, Artif. Intell..

A Bayesian Approach to Tackling Hard Computational Problems (Preliminary Report) pdf

David Maxwell Chickering, Eric Horvitz, Bart Selman, 2001, Electron. Notes Discret. Math..

Incorporating user utility into sponsored-search auctions

David Maxwell Chickering, Yagil Engel, 2008, AAMAS.

Learning Bayesian networks: The combination of knowledge and statistical data

David Maxwell Chickering, David Heckerman, Dan Geiger, 1995, Mach. Learn..

Evaluating the Markov assumption in Markov Decision Processes for spoken dialogue management

David Maxwell Chickering, Tim Paek, D. M. Chickering, 2006, Lang. Resour. Evaluation.

Mining recommendations from the web

Guy Shani, David Maxwell Chickering, Christopher Meek, 2008, RecSys '08.

Modeling Contextual Factors of Click Rates

David Maxwell Chickering, Hila Becker, Christopher Meek, 2007, AAAI.

Learning Equivalence Classes of Bayesian Network Structures

David Maxwell Chickering, D. M. Chickering, 1996, UAI.

Improving command and control speech recognition on mobile devices: using predictive user models for language modeling

David Maxwell Chickering, Tim Paek, 2006, User Modeling and User-Adapted Interaction.

A Bayesian Approach to Learning Bayesian Networks with Local Structure pdf

David Maxwell Chickering, David Heckerman, Christopher Meek, 1997, UAI.

Best-First Minimax Search: Othello Results

Richard E. Korf, David Maxwell Chickering, R. Korf, 1994, AAAI.

Dependency Networks for Inference, Collaborative Filtering, and Data Visualization

David Maxwell Chickering, David Heckerman, Christopher Meek, 2000, J. Mach. Learn. Res..

Optimal Structure Identification With Greedy Search

David Maxwell Chickering, D. M. Chickering, 2002, J. Mach. Learn. Res..

Efficient determination of dynamic split points in a decision tree

David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

ARMA Time-Series Modeling with Graphical Models pdf

Bo Thiesson, David Maxwell Chickering, David Heckerman, 2004, UAI.

Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network

David Maxwell Chickering, David Heckerman, D. Heckerman, 1996, UAI.

Computationally Efficient Methods For Selecting Among Mixtures Of Graphical Models, With Discussion

Bo Thiesson, David Maxwell Chickering, David Heckerman, 1999 .

Using Temporal Data for Making Recommendations

David Maxwell Chickering, Christopher Meek, Andrew Zimdars, 2001, UAI.

Intentions: a game for classifying search query intent

David Maxwell Chickering, Edith Law, Anton Mityagin, 2009, CHI Extended Abstracts.

Personalizing influence diagrams: applying online learning strategies to dialogue management

David Maxwell Chickering, Tim Paek, 2006, User Modeling and User-Adapted Interaction.

A Transformational Characterization of Equivalent Bayesian Network Structures

David Maxwell Chickering, D. M. Chickering, 1995, UAI.

Learning consensus opinion: mining data from a labeling game

David Maxwell Chickering, Paul N. Bennett, Anton Mityagin, 2009, WWW '09.

Improving Cloaking Detection using Search Query Popularity and Monetizability

David Maxwell Chickering, Kumar Chellapilla, D. M. Chickering, 2006, AIRWeb.

Rapidly Deploying Grammar-Based Speech Applications with Active Learning and Back-off Grammars

David Maxwell Chickering, Tim Paek, Sudeep Gandhe, 2008, SIGDIAL Workshop.

Branch and bound algorithm selection by performance prediction

Henry Kautz, David Maxwell Chickering, Eric Horvitz, 2001, Conference on Uncertainty in Artificial Intelligence.

Market design & analysis for a P2P backup system

David Maxwell Chickering, Sven Seuken, Denis Xavier Charles, 2010, EC '10.

Market Design for a P2P Backup System

David Maxwell Chickering, Sven Seuken, Denis Xavier Charles, 2009, AMMA.

Learning bayesian networks from data

Richard E. Korf, David Maxwell Chickering, Judea Pearl, 1996 .

Learning Bayesian Networks is NP-Complete

David Maxwell Chickering, D. M. Chickering, 2016, AISTATS.

Here or There

David Maxwell Chickering, Susan T. Dumais, Ben Carterette, 2008, ECIR.

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

David Maxwell Chickering, David Heckerman, Dan Geiger, 1994, Machine Learning.

Counterfactual reasoning and learning systems: the example of computational advertising pdf

Joaquin Quiñonero Candela, David Maxwell Chickering, Elon Portugaly, 2012, J. Mach. Learn. Res..

Predicting the Importance of Newsfeed Posts and Social Network Friends

David Maxwell Chickering, Scott Counts, Michael Gamon, 2010, AAAI.

Learning Bayesian Networks From Dependency Networks: A Preliminary Study

David Maxwell Chickering, Geoff Hulten, David Heckerman, 2003, AISTATS.

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

David Maxwell Chickering, Christopher Meek, Christopher Meek, 2015, UAI.

Learning Mixtures of DAG Models

Bo Thiesson, David Maxwell Chickering, David Heckerman, 1998, UAI.

Budget smoothing for internet ad auctions: a game theoretic approach

Nikhil R. Devanur, Lei Wang, David Maxwell Chickering, 2013, EC '13.

On Finding a Cycle Basis with a Shortest Maximal Cycle

David Maxwell Chickering, David Heckerman, Dan Geiger, 1995, Inf. Process. Lett..

Fast algorithms for finding matchings in lopsided bipartite graphs with applications to display ads

Nikhil R. Devanur, David Maxwell Chickering, Kamal Jain, 2010, EC '10.

A Decision Theoretic Approach to Targeted Advertising

David Maxwell Chickering, David Heckerman, D. Heckerman, 2000, UAI.

On the incompatibility of faithfulness and monotone DAG faithfulness

David Maxwell Chickering, Christopher Meek, Christopher Meek, 2006, Artif. Intell..

Fast Learning from Sparse Data pdf

David Maxwell Chickering, David Heckerman, D. Heckerman, 1999, UAI.

Here or there: preference judgments for relevance

David Maxwell Chickering, Susan T. Dumais, Ben Carterette, 2008 .

The Road to Asymptopia

David Maxwell Chickering, Christopher A. Meek, Christopher Meek, 2002 .

Counterfactual reasoning and learning systems: the example of computational advertising

Joaquin Quiñonero Candela, David Maxwell Chickering, Elon Portugaly, 2013, J. Mach. Learn. Res..

Statistically Efficient Greedy Equivalence Search

David Maxwell Chickering, D. M. Chickering, 2020, UAI.

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems pdf

David Maxwell Chickering, Patrice Y. Simard, Léon Bottou, 2014, ArXiv.

ModelTracker: Redesigning Performance Analysis Tools for Machine Learning

David Maxwell Chickering, Bongshin Lee, Patrice Y. Simard, 2015, CHI.

Dependency Networks for Collaborative Filtering and Data Visualization pdf

David Maxwell Chickering, David Heckerman, Christopher Meek, 2000, UAI.

Approximating the shapley value via multi-issue decompositions

David Maxwell Chickering, David C. Parkes, Hossein Azari Soufiani, 2014, AAMAS.

Finding Optimal Bayesian Networks pdf

David Maxwell Chickering, Christopher Meek, Christopher Meek, 2002, UAI.

Interactive Semantic Featuring for Text Classification pdf

David Maxwell Chickering, Patrice Y. Simard, Jina Suh, 2016, ArXiv.

A comparison of scientific and engineering criteria for Bayesian model selection

David Maxwell Chickering, David Heckerman, D. Heckerman, 2000, Stat. Comput..

Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (2004) pdf

David Maxwell Chickering, Joseph Y. Halpern, 2012, ArXiv.

Targeted Advertising on the Web with Inventory Management

David Maxwell Chickering, David Heckerman, D. Heckerman, 2003, Interfaces.

Large-Sample Learning of Bayesian Networks is NP-Hard pdf

David Maxwell Chickering, Christopher Meek, David Heckerman, 2002, J. Mach. Learn. Res..

Stability analysis of time series forecasting with ART models

David Maxwell Chickering, David Heckerman, Alex Bocharov, 2006 .

Practically Perfect pdf

David Maxwell Chickering, Christopher Meek, 2003, UAI.

A Clinician's Tool for Analyzing Non-Compliance

David Maxwell Chickering, Judea Pearl, J. Pearl, 1996, AAAI/IAAI, Vol. 2.

Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables

David Maxwell Chickering, David Heckerman, D. Heckerman, 1997, Machine Learning.

Learning Mixtures of Bayesian Networks

Bo Thiesson, David Maxwell Chickering, David Heckerman, 1997, UAI 1997.

Targeted advertising with inventory management

David Maxwell Chickering, David Heckerman, D. Heckerman, 2000, EC '00.

Picture this: preferences for image search

David Maxwell Chickering, Paul N. Bennett, Anton Mityagin, 2009, HCOMP '09.

Machine Teaching: A New Paradigm for Building Machine Learning Systems pdf

David Maxwell Chickering, Patrice Y. Simard, Christopher Meek, 2017, ArXiv.