@incollection{GM05,
Author= "Dan Geiger and Christopher Meek",
Title= "Structured Variational Inference Procedures and their Realizations",
Year= 2005,
Booktitle="Proceedings of Tenth International Workshop on Artificial Intelligence and Statistics, {\rm The Barbados}",
Publisher="The Society for Artificial Intelligence and Statistics",
Month= "January",
Editors= "Z. Ghahramani and R. Cowell"
}

@incollection{TM05,
Author= "Bo Thiesson and Christopher Meek",
Title= "Efficient gradient computation for conditional Gaussian models",
Year= 2005,
Booktitle="Proceedings of Tenth International Workshop on Artificial Intelligence and Statistics, {\rm The Barbados}",
Publisher="The Society for Artificial Intelligence and Statistics",
Month= "January",
Editors= "Z. Ghahramani and R. Cowell"
}

@article{CHM04jmlr,
Author= "David Maxwell Chickering and David Heckerman and Christopher Meek",
Title= "Large-Sample Learning of Bayesian Networks is NP-Hard",
Journal="Journal of Machine Learning Research",
Volume= 5,
Year= "2004",
Pages= "1287-1330"
}

@article{JJMGSHH04,
Author= "Vladimir Jojic and Nebojsa Jojic and Christopher Meek and Dan Geiger and Adam Siepel and David Haussler and David Heckerman",
Title= "Efficient approximations for learning phylogenetic HMM models from data",
Journal="ISMB/ECCB (Supplement of Bioinformatics)",
Year= "2004",
Pages= "161-168",
Note= "Also as MSR-TR-2003-62"
}

@TechReport{HMR04,
Author = {David Heckerman and Christopher Meek and Thomas Richardson},
Title = {Variations on Undirected Graphical Models and their Relationships},
Institution = {Microsoft Research},
Year = 2004,
Number = {MSR-TR-2004-95}
}

@TechReport{HMK04,
Author = {David Heckerman and Christopher Meek and Daphne Koller},
Title = {Probabilistic Models for Relational Data},
Institution = {Microsoft Research},
Year = 2004,
Number = {MSR-TR-2004-30}
}


@incollection{TCHM2004,
author = {Bo Thiesson and David Maxwell Chickering and David Heckerman and Christopher Meek},
title = {{ARMA} Time-Series Modeling with Graphical Models},
year = 2004,
Booktitle = {Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence, {\rm Banff, Canada}},
publisher = {AUAI Press},
pages = "552-560",
editors = "Max Chickering and Joseph Halpern",
}

@incollection{TM03,
Author =     "Bo Thiesson and Christopher Meek",
Title =         "Discriminative Model Selection for Density Models",
Year =         2003,
Booktitle =   "Proceedings of Ninth International Workshop on Artificial Intelligence and Statistics, {\rm Key West, Florida}",
Publisher =   "The Society for Artificial Intelligence and Statistics",
Month    =   "January",
Editors =    "Christopher Biship and Brendan Frey",
Notes =     "http://research.microsoft.com/conferences/aistats2003/proceedings/papers.htm"}

@TechReport{GMS02uai,
Author = {Dan Geiger and Christopher Meek and Bernd Sturmfels},
Title = {Factorization of discrete probability distributions},
Institution = {Microsoft Research},
Year = 2002,
Number = {MSR-TR-2002-??},
Note = {Submitted to {\it UAI}}
}

@TechReport{GMS02,
Author = {Dan Geiger and Christopher Meek and Bernd Sturmfels},
Title = {On the toric algebra of graphical models},
Institution = {Microsoft Research},
Year = 2002,
Number = {MSR-TR-2002-47},
Note = {Submitted to the {\it Annals of Statistics}}
}

@TechReport{KMH02,
Author = {Carl M. Kadie and Christopher Meek and David Heckerman},
Title = {{CFW}: A Collaborative Filtering System Using Posteriors Over Weights of Evidence},
Institution = {Microsoft Research},
Year = 2002,
Number = {MSR-TR-2002-46},
Note = {Submitted to {\it UAI}}
}

@TechReport{CM02Asymptopia,
Author = {David Maxwell Chickering and Christopher Meek},
Title = {The Road to Asymptopia},
Institution = {Microsoft Research},
Year = 2002,
Number = {MSR-TR-2002-43},
Note = {Submitted to {\it UAI}}
}

@TechReport{CM02Optimal,
author = {David Maxwell Chickering and Christopher Meek},
title = {Finding Optimal Bayesian Networks},
institution = {Microsoft Research},
year = 2002,
number = {MSR-TR-2002-42},
note = {Submitted to {\it UAI}}
}

@TechReport{MTH02,
Author = {Christopher Meek and Bo Thiesson and David Heckerman},
Title = {Staged Mixture Modeling and Boosting},
Institution = {Microsoft Research},
Year = 2002,
Number = {MSR-TR-2002-45},
Note = {Submitted to {\it UAI}}
}

@InProceedings{MCH02,
Author = {C. Meek and D. Chickering and D. Heckerman},
Title = {Autoregressive tree models for time-series analysis},
Booktitle = {Proceedings of the Second International SIAM Conference on Data Mining},
Year = 2002,
Month = {April},
Publisher = {SIAM},
Address = "Arlington, VA",
Pages = "229-244"
}

@article{MTH01,
Author= "Christopher Meek and Bo Thiesson and David Heckerman",
Title= "The Learning-Curve Sampling Method Applied to Model-Based Clustering",
Journal="Journal of Machine Learning Research",
Volume= "2",
Year= "2001",
Pages= "397-418",
Note= "Also in AI and Statistics 2001"}

@article{TMH01,
Author= "Bo Thiesson and Christopher Meek and David Heckerman",
Title= "Accelerating {EM} for large databases",
Journal="Machine Learning",
Volume= "45",
Year= "2001",
Pages= "279-299"}


@InProceedings{CMR01,
Author = {D. Chickering and C. Meek and R. Rounthwaite},
Title = {Efficient Determination of Dynamic Split Points in a Decision Tree},
Booktitle ={Proceedings of the 2001 IEEE International Conference on Data Mining},
Year = 2001,
Month = {November},
Publisher ={IEEE Computer Society},
Address = "San Jose, CA",
Pages = "91-98"
}


@incollection{MTH01aistats,
Author= "C. Meek and B. Thiesson and D. Heckerman",
Title= "The learning-curve method applied to clustering",
Year= 2001,
Booktitle="Proceedings of Eighth International Workshop on Artificial Intelligence and Statistics, {\rm Key West, Florida}",
Publisher="Morgan Kaufmann",
Month= "January",
Editors= "T. Jaakkola and T. Richardson"}


@article{GHKM01,
Author= "D. Geiger and D. Heckerman and H. King and C. Meek",
Title= "Stratified exponential families: graphical models and model selection",
Journal= "Annals of Statistics",
Volume= "29",
Year= "2001",
Pages= "505-529"}

@article{Meek01,
Author= "Christopher Meek",
Title= "Finding a Path is Harder than Finding a Tree",
Journal="Journal of Artificial Intelligence Research",
Volume= "15",
Year= "2001",
Pages= "383-389",
Note= "http://www.jair.org/abstracts/meek01a.html"}


@incollection{ZCM01uai,
Author = "Andrew Zimdars and David Maxwell Chickering and Christopher Meek",
Title = "Using Temporal Data for Making Recommendations",
Year = 2001,
Booktitle="Proceedings of Seventeenth Conference on Uncertainty
in Artificial Intelligence, {\rm Seattle, WA}",
Publisher="Morgan Kaufmann",
Pages = "580-588"
}

@inproceedings{BM00,
Author = "J. Brutlag and C. Meek",
Booktitle = "Proceedings of the Seventeenth International Conference on Machine Learning",
Title = "Challenges of the email domain for text classification",
Year = "2000",
Pages = "103-110"
}

@InProceedings{BGM00,
Author = {Ann Becker and Dan Geiger and Christopher Meek},
Title = {Perfect Tree-like Markovian Distributions},
Booktitle = {Proceedings of Sixteenth Conference on Uncertainty
in Artificial Intelligence, {\rm Stanford, CA}},
Year = 2000,
Publisher = "Morgan Kaufmann",
Pages = "19-23"
}

@InProceedings{MM00,
Author = {Heikki Mannila and Christopher Meek},
Title = {Global Partial Orders from Sequential Data},
Booktitle = {Proceedings of the sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), {\rm Boston, MA}},
Year = 2000,
Publisher = "ACM Press",
Pages = "161-168"
}

@TechReport{CHMPT2000,
author = {David Maxwell Chickering and David Heckerman and
Christopher Meek and John C. Platt and Bo Thiesson},
title = {Goal-oriented clustering},
institution = {Microsoft},
year = 2000,
number = {MSR-TR-2000-82},
address = {Redmond, WA}
}


@techreport{CHMSW00tr,
author="I. Cadez and D. Heckerman and C. Meek and P. Smyth and S. White",
title="Visualization of navigation patterns on a web site
using model based clustering",
institution="Microsoft Research, Redmond, WA",
year="2000",
number="MSR-TR-00-18"}

@InProceedings{CHMSW00,
author = "I. Cadez and D. Heckerman and C. Meek and P. Smyth and S. White",
title="Visualization of navigation patterns on a web site
using model based clustering",
booktitle ={Proceedings of the sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), {\rm Boston, MA}},
year = 2000,
publisher = "ACM Press",
pages = "280-284"
}


@techreport{HCMRK00tr,
author="D. Heckerman and D.M. Chickering and C. Meek and R. Rounthwaite
and C. Kadie",
title="Dependency networks for inference, collaborative filtering, and
data visualization",
institution="Microsoft Research, Redmond, WA",
year="2000",
number="MSR-TR-00-16"}

@InProceedings{HCMRK00uai,
author="D. Heckerman and D.M. Chickering and C. Meek and R. Rounthwaite
and C. Kadie",
title="Dependency networks for inference, collaborative filtering, and
data visualization",
booktitle = {Proceedings of Sixteenth Conference on Uncertainty
in Artificial Intelligence, {\rm Stanford, CA}},
year = 2000,
publisher = "Morgan Kaufmann",
pages = "264-273"
}

@article{HCMRK00,
Author="D. Heckerman and D.M. Chickering and C. Meek and R. Rounthwaite
and C. Kadie",
Journal="Journal of Machine Learning Research",
Title="Dependency networks for inference, collaborative filtering, and
data visualization",
Year="2000",
Pages="49-75",
Volume="1"}

@article{GGKLMM99,
author="Helge G. Gyllenberg and Mats Gyllenberg and Timo
Koski and Tatu Lund and Heikki Mannila and Christopher
Meek",
title="Singling out ill-fit items in a classification. Application to the
taxonomy of {\em Enterobacteriaceae}",
journal="Archive of Control Science",
volume="9",
year="1999",
pages="97-107",
note="http://lemon.ia.polsl.gliwice.pl/ACS/ARCHIVES/USER/ARCHIVES/1999/No12.htm"}


@incollection{GHKM99aistats,
author="Dan Geiger and David Heckerman and Henry King and Christopher Meek",
title="On the geometry of DAG models with hidden variables",
year=1999,
Booktitle="Proceedings of Seventh International Workshop on Artificial Intelligence
and Statistics, {\rm Fort Lauderdale, Florida}",
publisher="Morgan Kaufmann",
Month="January",
editors="D. Heckerman and J. Whittaker",
pages="76-85"}

@incollection{GM99uai,
author="Dan Geiger and Christopher Meek",
title="Quantifier Elimination for statistical problems",
year=1999,
Booktitle="Proceedings of Fifteenth Conference on Uncertainty in
Artificial Intelligence, {\rm Stockholm, Sweden}",
publisher="Morgan Kaufmann",
Month="August",
editors="K. Laskey and H. Prade",
pages="226-235"}

@incollection{SGSMFS99,
Author="P. Spirtes and C. Glymour and R. Scheines and C. Meek and S. Fienberg and E. Slate",
Year="1999",
title="Prediction and experimental design with Graphical causal models",
BookTitle="Computation, Causation, and Discovery",
pages="65-94",
Address="Menlo Park, CA",
Publisher="AAAI Press"}

@incollection{SGSMR99,
Author=" R. Scheines and C. Glymour and P. Spirtes and C. Meek and T. Richardson",
Year="1999",
title="Truth is among the best explanations: Finding causal explanations of conditional independence and dependence",
BookTitle="Computation, Causation, and Discovery",
pages="167-210",
Address="Menlo Park, CA",
Publisher="AAAI Press"}

@incollection{SMR99,
Author="P. Spirtes and C. Meek and T. Richardson",
Year="1999",
title="An Algorithm for causal inference in the presence of latent variables and selection bias",
BookTitle="Computation, Causation, and Discovery",
pages="211-252",
Address="Menlo Park, CA",
Publisher="AAAI Press"}

@incollection{HMC99,
Author="D. Heckerman and C. Meek and G. Cooper",
Year="1999",
title="A {Bayesian} approach to causal discovery",
BookTitle="Computation, Causation, and Discovery",
pages="141-166",
Address="Menlo Park, CA",
Publisher="AAAI Press"}


@incollection{TMCH99,
Author="B. Thiesson and C. Meek and D. Chickering and D. Heckerman",
Year="1999",
title="Computationally efficient methods for selecting among mixtures of graphical models, with discussion",
BookTitle="Bayesian Statistics 6: Proceedings of the Sixth Valencia International Meeting",
editors="J. Bernardo and J. Berger and A.P. Dawid and A.F.M. Smith",
pages="631-656",
Address="Oxford",
Publisher="Clarendon Press"}

@incollection{GM98uai,
author="Dan Geiger and Christopher Meek",
title="Graphical Models and Exponential Families",
year=1998,
Booktitle="Proceedings of Fourteenth Conference on Uncertainty in
Artificial Intelligence, {\rm Madison, WI}",
publisher="Morgan Kaufmann",
Month="August",
editors="G. Cooper and S. Moral",
pages="156-165"}


@incollection{TMCH98uai,
author="B. Thiesson and C. Meek and D. Chickering and D. Heckerman",
title="Learning mixtures of {DAG} models",
year=1998,
Booktitle="Proceedings of Fourteenth Conference on Uncertainty in
Artificial Intelligence, {\rm Madison, WI}",
publisher="Morgan Kaufmann",
Month="August",
editors="G. Cooper and S. Moral",
pages="504-513"}

@article{SRMSG98,
Author="Peter Spirtes and Thomas Richardson and Christopher Meek and Richard Scheines and Clark Glymour",
Journal="Sociological Methods and Research",
Title="Using path diagrams as a structural equation modeling tool",
Year="1998",
Pages="182-226",
Volume="27",
Number="2"}

@incollection{GHM98erice,
author="D. Geiger and D. Heckerman and C. Meek",
title="Asymptotic model selection for directed networks with
hidden variables",
booktitle="Learning in graphical models",
year="1998",
publisher="Kluwer",
editor="M. Jordan",
pages="461-478"}

@PhDThesis{Meek97,
Author="C. Meek",
School="Carnegie Mellon University",
Title="Graphical models: selecting causal and statistical models",
Year="1997",
Address="Pittsburgh, PA"}


@techreport{TMCH97tr,
author="B. Thiesson and C. Meek and D. Chickering and D. Heckerman",
title="Learning mixtures of {DAG} models",
institution="Microsoft Research, Redmond, WA",
year="December, 1997",
number="MSR-TR-97-30"}


@techreport{HM97tr,
author="D. Heckerman and C. Meek",
title="Embedded Bayesian Network Classifiers",
institution="Microsoft Research, Redmond, WA",
year="1997",
number="MSR-TR-97-06"}


@incollection{HM97uai,
author="D. Heckerman and C. Meek",
title="Models and Selection Criteria for Regression and Classification",
year=1997,
Booktitle="Proceedings of Thirteenth Conference on Uncertainty in
Artificial Intelligence, {\rm Providence, RI}",
publisher="Morgan Kaufmann",
Month="August",
editors="D. Geiger and P. Shenoy"}


@incollection{CHM97uai,
author="D. Chickering and D. Heckerman and C. Meek",
title="A {Bayesian} approach to learning {Bayesian} networks with
local structure",
year=1997,
Booktitle="Proceedings of Thirteenth Conference on Uncertainty in
Artificial Intelligence, {\rm Providence, RI}",
publisher="Morgan Kaufmann",
Month="August",
editors="D. Geiger and P. Shenoy"}


@incollection{MH97uai,
author="C. Meek and D. Heckerman",
title="Structure and Parameter Learning for Causal Independence and
Causal Interaction Models",
year=1997,
Booktitle="Proceedings of Thirteenth Conference on Uncertainty in
Artificial Intelligence, {\rm Providence, RI}",
publisher="Morgan Kaufmann",
Month="August",
editors="D. Geiger and P. Shenoy"}

@incollection{SRM97,
author="P. Spirtes and T. Richardson and C. Meek",
title="Heuristic greedy search algorithms for latent variable models",
year=1997,
Booktitle="Preliminary papers of the sixth international workshop on Artificial Intelligence and Statistics, {\rm Fort Lauderdale, FL}",
Month="January",
pages="481-489"}

@techreport{SRM97tr,
author="P. Spirtes and T. Richardson and C. Meek",
title="The dimensionality of mixed ancestral graphs",
institution="Carnegie Mellon University",
year="1997",
number="CMU-PHIL-83"}


@techreport{GHM96,
key="Geiger",
author="D. Geiger and D. Heckerman and C. Meek",
title="Asymptotic model selection for directed networks with
hidden variables",
institution="Microsoft Research, Redmond, WA",
year="1996",
number="MSR-TR-96-07"}

@incollection{GHM96uai,
author="D. Geiger and D. Heckerman and C. Meek",
title="Asymptotic model selection for directed networks with
hidden variables",
institution="Microsoft Research, Redmond, WA",
year="1996",
Booktitle="Proceedings of Twelfth Conference on Uncertainty in
Artificial Intelligence, {\rm Portland, OR}",
publisher="Morgan Kaufmann",
Month="August",
editors="E. Horvitz and F. Jensen",
pages="283-290"}


@techreport{SRMSG96tr,
author="P. Spirtes and T. Richardson and C. Meek and R. Scheines and C. Glymour",
title="Using d-separation to calculate zero partial correlations in linear models with correlated errors",
institution="Carnegie Mellon University",
year="2000",
number="CMU-PHIL-72"}


@incollection{SM95kdd,
key="Spirtes",
author="P. Spirtes and C. Meek",
title="Learning {Bayesian} networks with discrete variables from data",
year=1995,
Booktitle="Proceedings of First International Conference on Knowledge
Discovery and Data Mining, {\rm Montreal, QU}",
publisher="Morgan Kaufmann",
Month="August",
pages="294-299"}

@incollection{Meek95uai,
Booktitle="Proceedings of Eleventh Conference on Uncertainty in
Artificial Intelligence, {\rm Montreal, QU}",
publisher="Morgan Kaufmann",
Month="August",
year="1995",
author="C. Meek",
title="Strong completeness and faithfulness in {B}ayesian networks",
pages="411-418"}


@incollection{SMR95uai,
author="P. Spirtes and C. Meek and T. Richardson",
title="Causal inference in the presence of latent variables and
selection bias",
Booktitle="Proceedings of Eleventh Conference on Uncertainty in
Artificial Intelligence, {\rm Montreal, QU}",
publisher="Morgan Kaufmann",
Month="August",
year="1995",
pages="499-506",
editors="S. Hanks and P. Besnard"}


@incollection{meek95orient,
author="C. Meek",
title="Causal inference and causal explanation with background knowledge",
Booktitle="Proceedings of Eleventh Conference on Uncertainty in
Artificial Intelligence, {\rm Montreal, QU}",
publisher="Morgan Kaufmann",
Month="August",
year="1995",
pages="403-418",
editors="S. Hanks and P. Besnard"}


@book{SSGM94,
author="Scheines, R. and Spirtes, P. and Glymour, C. and Meek, C.",
year="1994",
title="Tetrad {II}: User's Manual",
publisher="Lawrence Erlbaum",
address="Hillsdale, N.J."}

@article{MG94,
Author="Christopher Meek and Clark Glymour",
Journal="British Journal for the Philosophy of Science",
Title="Conditioning and Intervening",
Year="1994",
Pages="1001-1021",
Volume="45"}