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Christopher Meek
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- affiliation: Machine Learning Department, Microsoft Research
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2020 – today
- 2023
- [c84]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao:
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. ICLR 2023 - [i36]Haekyu Park, Gonzalo A. Ramos, Jina Suh, Christopher Meek, Rachel Ng, Mary Czerwinski:
FoundWright: A System to Help People Re-find Pages from Their Web-history. CoRR abs/2305.07930 (2023) - 2022
- [j18]Marina Meila, Annelise Wagner
, Christopher Meek:
Recursive inversion models for permutations. Stat. Comput. 32(4): 54 (2022) - [j17]Gonzalo A. Ramos
ForSense: Accelerating Online Research Through Sensemaking Integration and Machine Research Support. ACM Trans. Interact. Intell. Syst. 12(4): 30:1-30:23 (2022) - [c83]Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani:
Synchromesh: Reliable Code Generation from Pre-trained Language Models. ICLR 2022 - [i35]Gabriel Poesia, Oleksandr Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani:
Synchromesh: Reliable code generation from pre-trained language models. CoRR abs/2201.11227 (2022) - [i34]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao:
Learning from Self-Sampled Correct and Partially-Correct Programs. CoRR abs/2205.14318 (2022) - 2021
- [c82]Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah:
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing. ICLR 2021 - [c81]Napol Rachatasumrit, Gonzalo A. Ramos, Jina Suh, Rachel Ng, Christopher Meek:
ForSense: Accelerating Online Research Through Sensemaking Integration and Machine Research Support. IUI 2021: 608-618 - [c80]Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson:
Structure-Grounded Pretraining for Text-to-SQL. NAACL-HLT 2021: 1337-1350 - [c79]Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney
NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction. NAACL-HLT 2021: 5599-5610 - [c78]Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Ge Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao:
Few-Shot Learning Evaluation in Natural Language Understanding. NeurIPS Datasets and Benchmarks 2021 - [i33]Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo A. Ramos, Ahmed Hassan Awadallah:
NL-EDIT: Correcting semantic parse errors through natural language interaction. CoRR abs/2103.14540 (2021) - [i32]Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao:
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. CoRR abs/2111.02570 (2021) - 2020
- [j16]Gonzalo A. Ramos, Christopher Meek, Patrice Y. Simard, Jina Suh, Soroush Ghorashi:
Interactive machine teaching: a human-centered approach to building machine-learned models. Hum. Comput. Interact. 35(5-6): 413-451 (2020) - [c77]Nicole Sultanum
A Teaching Language for Building Object Detection Models. Conference on Designing Interactive Systems 2020: 1223-1234 - [c76]Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic, Christopher Meek:
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. ACL 2020: 7652-7662 - [i31]Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson:
Structure-Grounded Pretraining for Text-to-SQL. CoRR abs/2010.12773 (2020)
2010 – 2019
- 2019
- [c75]Gonzalo A. Ramos, Jina Suh, Soroush Ghorashi, Christopher Meek, Richard Banks, Saleema Amershi, Rebecca Fiebrink
Emerging Perspectives in Human-Centered Machine Learning. CHI Extended Abstracts 2019 - [i30]David Heckerman, Christopher Meek:
Embedded Bayesian Network Classifiers. CoRR abs/1910.09715 (2019) - 2017
- [c74]Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu:
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. WSDM 2017: 711-719 - [i29]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 abs/1707.06742 (2017) - 2016
- [c73]Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh:
The Value of Semantic Parse Labeling for Knowledge Base Question Answering. ACL (2) 2016 - [c72]Asela Gunawardana, Christopher Meek:
Universal Models of Multivariate Temporal Point Processes. AISTATS 2016: 556-563 - [i28]Christopher Meek, Patrice Y. Simard, Xiaojin Zhu:
Analysis of a Design Pattern for Teaching with Features and Labels. CoRR abs/1611.05950 (2016) - [i27]Christopher Meek:
A Characterization of Prediction Errors. CoRR abs/1611.05955 (2016) - 2015
- [c71]Yi Yang, Wen-tau Yih, Christopher Meek:
WikiQA: A Challenge Dataset for Open-Domain Question Answering. EMNLP 2015: 2013-2018 - [c70]Helen J. Wang, Alexander Moshchuk, Michael Gamon, Shamsi T. Iqbal, Eli T. Brown, Ashish Kapoor, Christopher Meek, Eric Yawei Chen, Yuan Tian, Jaime Teevan, Mary Czerwinski, Susan T. Dumais:
The Activity Platform. HotOS 2015 - [c69]David Maxwell Chickering, Christopher Meek:
Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. UAI 2015: 211-219 - [i26]Dengyong Zhou, Qiang Liu, John C. Platt
Regularized Minimax Conditional Entropy for Crowdsourcing. CoRR abs/1503.07240 (2015) - [i25]David Maxwell Chickering, Christopher Meek:
Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. CoRR abs/1506.02113 (2015) - 2014
- [j15]David Heckerman, Christopher Meek, Thomas S. Richardson:
Variations on undirected graphical models and their relationships. Kybernetika 50(3): 363-377 (2014) - [c68]Wen-tau Yih, Xiaodong He, Christopher Meek:
Semantic Parsing for Single-Relation Question Answering. ACL (2) 2014: 643-648 - [c67]Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek:
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction. EMNLP 2014: 1568-1579 - [c66]Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek:
Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy. ICML 2014: 262-270 - [c65]Christopher Meek, Marina Meila:
Recursive Inversion Models for Permutations. NIPS 2014: 631-639 - [c64]Christopher Meek:
Toward Learning Graphical and Causal Process Models. CI@UAI 2014: 43-48 - 2013
- [c63]Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak:
Question Answering Using Enhanced Lexical Semantic Models. ACL (1) 2013: 1744-1753 - [c62]Kai-Wei Chang, Wen-tau Yih, Christopher Meek:
Multi-Relational Latent Semantic Analysis. EMNLP 2013: 1602-1612 - [c61]Alisa Zhila, Wen-tau Yih, Christopher Meek, Geoffrey Zweig, Tomás Mikolov:
Combining Heterogeneous Models for Measuring Relational Similarity. HLT-NAACL 2013: 1000-1009 - [i24]David Maxwell Chickering, Christopher Meek:
Finding Optimal Bayesian Networks. CoRR abs/1301.0561 (2013) - [i23]Dan Geiger, Christopher Meek, Bernd Sturmfels:
Factorization of Discrete Probability Distributions. CoRR abs/1301.0568 (2013) - [i22]Carl Myers Kadie, Christopher Meek, David Heckerman:
CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence. CoRR abs/1301.0575 (2013) - [i21]Christopher Meek, Bo Thiesson, David Heckerman:
Staged Mixture Modelling and Boosting. CoRR abs/1301.0586 (2013) - [i20]Andrew Zimdars, David Maxwell Chickering, Christopher Meek:
Using Temporal Data for Making Recommendations. CoRR abs/1301.2320 (2013) - [i19]Ann Becker, Dan Geiger, Christopher Meek:
Perfect Tree-Like Markovian Distributions. CoRR abs/1301.3834 (2013) - [i18]David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie:
Dependency Networks for Collaborative Filtering and Data Visualization. CoRR abs/1301.3862 (2013) - [i17]Christopher Meek, Uffe Kjærulff:
Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003). CoRR abs/1301.4606 (2013) - [i16]Dan Geiger, Christopher Meek:
Quantifier Elimination for Statistical Problems. CoRR abs/1301.6698 (2013) - [i15]Dan Geiger, Christopher Meek:
Graphical Models and Exponential Families. CoRR abs/1301.7376 (2013) - [i14]Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman:
Learning Mixtures of DAG Models. CoRR abs/1301.7415 (2013) - [i13]David Maxwell Chickering, David Heckerman, Christopher Meek:
A Bayesian Approach to Learning Bayesian Networks with Local Structure. CoRR abs/1302.1528 (2013) - [i12]David Heckerman, Christopher Meek:
Models and Selection Criteria for Regression and Classification. CoRR abs/1302.1545 (2013) - [i11]Christopher Meek, David Heckerman:
Structure and Parameter Learning for Causal Independence and Causal Interaction Models. CoRR abs/1302.1561 (2013) - [i10]Dan Geiger, David Heckerman, Christopher Meek:
Asymptotic Model Selection for Directed Networks with Hidden Variables. CoRR abs/1302.3580 (2013) - [i9]Christopher Meek:
Causal Inference and Causal Explanation with Background Knowledge. CoRR abs/1302.4972 (2013) - [i8]Christopher Meek:
Strong Completeness and Faithfulness in Bayesian Networks. CoRR abs/1302.4973 (2013) - [i7]Peter Spirtes, Christopher Meek, Thomas S. Richardson:
Causal Inference in the Presence of Latent Variables and Selection Bias. CoRR abs/1302.4983 (2013) - 2012
- [c60]Geoffrey Zweig, John C. Platt, Christopher Meek, Christopher J. C. Burges, Ainur Yessenalina, Qiang Liu:
Computational Approaches to Sentence Completion. ACL (1) 2012: 601-610 - [c59]Ankur Parikh, Asela Gunawardana, Christopher Meek:
Conjoint Modeling of Temporal Dependencies in Event Streams. BMA 2012: 65-73 - [i6]Ydo Wexler, Christopher Meek:
Inference for Multiplicative Models. CoRR abs/1206.3296 (2012) - [i5]Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek:
ARMA Time-Series Modeling with Graphical Models. CoRR abs/1207.4162 (2012) - [i4]David Maxwell Chickering, Christopher Meek, David Heckerman:
Large-Sample Learning of Bayesian Networks is NP-Hard. CoRR abs/1212.2468 (2012) - [i3]Christopher Meek, David Maxwell Chickering:
Practically Perfect. CoRR abs/1212.2503 (2012) - 2011
- [j14]Guy Shani
Unsupervised hierarchical probabilistic segmentation of discrete events. Intell. Data Anal. 15(4): 483-501 (2011) - [c58]Wen-tau Yih, Kristina Toutanova, John C. Platt, Christopher Meek:
Learning Discriminative Projections for Text Similarity Measures. CoNLL 2011: 247-256 - [c57]Darko Kirovski, Christopher Meek:
Tunneled TLS for multi-factor authentication. Digital Rights Management Workshop 2011: 31-40 - [c56]Asela Gunawardana, Christopher Meek, Puyang Xu:
A Model for Temporal Dependencies in Event Streams. NIPS 2011: 1962-1970 - [i2]Christopher Meek:
Finding a Path is Harder than Finding a Tree. CoRR abs/1106.1799 (2011) - [i1]Greg Linden, Christopher Meek, Max Chickering:
The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising. CoRR abs/1109.6263 (2011) - 2010
- [j13]Sivan Bercovici, Christopher Meek, Ydo Wexler, Dan Geiger:
Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping. Bioinform. 26(12): 175-182 (2010) - [c55]Asela Gunawardana, Tim Paek, Christopher Meek:
Usability guided key-target resizing for soft keyboards. IUI 2010: 111-118 - [c54]Jim C. Huang, Nebojsa Jojic, Christopher Meek:
Exact inference and learning for cumulative distribution functions on loopy graphs. NIPS 2010: 874-882
2000 – 2009
- 2009
- [j12]Dan Geiger, Christopher Meek, Ydo Wexler:
Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space. Bioinform. 25(12) (2009) - [c53]Guy Shani
Hierarchical Probabilistic Segmentation of Discrete Events. ICDM 2009: 974-979 - [c52]Guy Shani
Searching large indexes on tiny devices: optimizing binary search with character pinning. IUI 2009: 257-266 - [c51]Guy Shani, Christopher Meek:
Improving Existing Fault Recovery Policies. NIPS 2009: 1642-1650 - [c50]Asela Gunawardana, Christopher Meek:
A unified approach to building hybrid recommender systems. RecSys 2009: 117-124 - [c49]Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei:
Markov Topic Models. AISTATS 2009: 583-590 - 2008
- [c48]Wen-tau Yih, Christopher Meek:
Consistent phrase relevance measures. AdKDD@KDD 2008: 37-44 - [c47]Ece Kamar, Eric Horvitz, Christopher Meek:
Mobile opportunistic commerce: mechanisms, architecture, and application. AAMAS (2) 2008: 1087-1094 - [c46]Ming-Wei Chang, Wen-tau Yih, Christopher Meek:
Partitioned logistic regression for spam filtering. KDD 2008: 97-105 - [c45]Ydo Wexler, Christopher Meek:
MAS: a multiplicative approximation scheme for probabilistic inference. NIPS 2008: 1761-1768 - [c44]Asela Gunawardana, Christopher Meek:
Tied boltzmann machines for cold start recommendations. RecSys 2008: 19-26 - [c43]Guy Shani
Mining recommendations from the web. RecSys 2008: 35-42 - [c42]Ydo Wexler, Christopher Meek:
Inference for Multiplicative Models. UAI 2008: 595-602 - 2007
- [c41]Hila Becker, Christopher Meek, David Maxwell Chickering:
Modeling Contextual Factors of Click Rates. AAAI 2007: 1310-1315 - [c40]Wen-tau Yih, Christopher Meek:
Improving Similarity Measures for Short Segments of Text. AAAI 2007: 1489-1494 - [c39]Donald Metzler, Susan T. Dumais, Christopher Meek:
Similarity Measures for Short Segments of Text. ECIR 2007: 16-27 - [c38]Tim Paek, Yun-Cheng Ju, Christopher Meek:
People watcher: a game for eliciting human-transcribed data for automated directory assistance. INTERSPEECH 2007: 1322-1325 - 2006
- [j11]David Maxwell Chickering, Christopher Meek:
On the incompatibility of faithfulness and monotone DAG faithfulness. Artif. Intell. 170(8-9): 653-666 (2006) - [j10]Michail Vlachos
Structural Periodic Measures for Time-Series Data. Data Min. Knowl. Discov. 12(1): 1-28 (2006) - [j9]Dan Geiger, Christopher Meek, Ydo Wexler:
A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints. J. Artif. Intell. Res. 27: 1-23 (2006) - [j8]Serkan Hosten, Christopher Meek:
Preface. J. Symb. Comput. 41(2): 123-124 (2006) - 2005
- [c37]Dan Geiger, Christopher Meek:
Structured Variational Inference Procedures and their Realizations. AISTATS 2005: 104-111 - [c36]Bo Thiesson, Christopher Meek:
Efficient Gradient Computation for Conditional Gaussian Models. AISTATS 2005: 341-348 - [c35]Daniel Lowd, Christopher Meek:
Good Word Attacks on Statistical Spam Filters. CEAS 2005 - [c34]Daniel Lowd, Christopher Meek:
Adversarial learning. KDD 2005: 641-647 - [c33]Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman:
Using epitomes to model genetic diversity: Rational design of HIV vaccines. NIPS 2005: 587-594 - 2004
- [j7]David Maxwell Chickering, David Heckerman, Christopher Meek:
Large-Sample Learning of Bayesian Networks is NP-Hard. J. Mach. Learn. Res. 5: 1287-1330 (2004) - [c32]Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel
Efficient approximations for learning phylogenetic HMM models from data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 161-168 - [c31]Michail Vlachos
Identifying Similarities, Periodicities and Bursts for Online Search Queries. SIGMOD Conference 2004: 131-142 - [c30]Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek:
ARMA Time-Series Modeling with Graphical Models. UAI 2004: 552-560 - 2003
- [j6]Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Data Min. Knowl. Discov. 7(4): 399-424 (2003) - [c29]Bo Thiesson, Christopher Meek:
Discriminative Model Selection for Density Models. AISTATS 2003: 270-275 - [c28]David Maxwell Chickering, Christopher Meek, David Heckerman:
Large-Sample Learning of Bayesian Networks is NP-Hard. UAI 2003: 124-133 - [c27]Christopher Meek, David Maxwell Chickering:
Practically Perfect. UAI 2003: 411-416 - [e1]Christopher Meek, Uffe Kjærulff:
UAI '03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, Acapulco, Mexico, August 7-10 2003. Morgan Kaufmann 2003, ISBN 0-127-05664-5 [contents] - 2002
- [j5]Christopher Meek, Bo Thiesson, David Heckerman:
The Learning-Curve Sampling Method Applied to Model-Based Clustering. J. Mach. Learn. Res. 2: 397-418 (2002) - [c26]Christopher Meek, David Maxwell Chickering, David Heckerman:
Autoregressive Tree Models for Time-Series Analysis. SDM 2002: 229-244 - [c25]David Maxwell Chickering, Christopher Meek:
Finding Optimal Bayesian Networks. UAI 2002: 94-102 - [c24]Dan Geiger, Christopher Meek, Bernd Sturmfels:
Factorization of Discrete Probability Distributions. UAI 2002: 162-169 - [c23]Carl Myers Kadie, Christopher Meek, David Heckerman:
CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. UAI 2002: 242-250 - [c22]Christopher Meek, Bo Thiesson, David Heckerman:
Staged Mixture Modelling and Boosting. UAI 2002: 335-343 - 2001
- [j4]Christopher Meek:
Finding a Path is Harder than Finding a Tree. J. Artif. Intell. Res. 15: 383-389 (2001) - [j3]Bo Thiesson, Christopher Meek, David Heckerman:
Accelerating EM for Large Databases. Mach. Learn. 45(3): 279-299 (2001) - [c21]Christopher Meek:
Finding a path is harder than finding a tree. AISTATS 2001: 192-195 - [c20]Christopher Meek, Bo Thiesson, David Heckerman:
The Learning Curve Method Applied to Clustering. AISTATS 2001: 196-202 - [c19]David Maxwell Chickering, Christopher Meek, Robert Rounthwaite:
Efficient Determination of Dynamic Split Points in a Decision Tree. ICDM 2001: 91-98 - [c18]Andrew Zimdars, David Maxwell Chickering, Christopher Meek:
Using Temporal Data for Making Recommendations. UAI 2001: 580-588 - 2000
- [j2]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: 49-75 (2000) - [c17]Jake D. Brutlag, Christopher Meek:
Challenges of the Email Domain for Text Classification. ICML 2000: 103-110 - [c16]Heikki Mannila, Christopher Meek:
Global partial orders from sequential data. KDD 2000: 161-168 - [c15]Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth
Visualization of navigation patterns on a Web site using model-based clustering. KDD 2000: 280-284 - [c14]Ann Becker, Dan Geiger, Christopher Meek:
Perfect Tree-like Markovian Distributions. UAI 2000: 19-23 - [c13]David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie:
Dependency Networks for Collaborative Filtering and Data Visualization. UAI 2000: 264-273
1990 – 1999
- 1999
- [c12]Dan Geiger, David Heckerman, Henry King, Christopher Meek:
On the geometry of DAG models with hidden variables. AISTATS 1999 - [c11]Dan Geiger, Christopher Meek:
Quantifier Elimination for Statistical Problems. UAI 1999: 226-235 - 1998
- [c10]Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman:
Learning Mixtures of DAG Models. UAI 1998: 504-513 - [p1]Dan Geiger, David Heckerman, Christopher Meek:
Asymptotic Model Selection for Directed Networks with Hidden Variables. Learning in Graphical Models 1998: 461-477 - 1997
- [j1]Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes:
An evaluation of machine-learning methods for predicting pneumonia mortality. Artif. Intell. Medicine 9(2): 107-138 (1997) - [c9]Peter Spirtes, Thomas S. Richardson, Christopher Meek:
Heuristic Greedy Search Algorithms for Latent Variable Models. AISTATS 1997: 481-488 - [c8]David Maxwell Chickering, David Heckerman, Christopher Meek:
A Bayesian Approach to Learning Bayesian Networks with Local Structure. UAI 1997: 80-89 - [c7]David Heckerman, Christopher Meek:
Models and Selection Criteria for Regression and Classification. UAI 1997: 223-228 - [c6]Christopher Meek, David Heckerman:
Structure and Parameter Learning for Causal Independence and Causal Interaction Models. UAI 1997: 366-375 - 1996
- [c5]Dan Geiger, David Heckerman, Christopher Meek:
Asymptotic Model Selection for Directed Networks with Hidden Variables. UAI 1996: 283-290 - 1995
- [c4]Peter Spirtes, Christopher Meek:
Learning Bayesian Networks with Discrete Variables from Data. KDD 1995: 294-299 - [c3]Christopher Meek:
Causal inference and causal explanation with background knowledge. UAI 1995: 403-410 - [c2]Christopher Meek:
Strong completeness and faithfulness in Bayesian networks. UAI 1995: 411-418 - [c1]Peter Spirtes, Christopher Meek, Thomas S. Richardson:
Causal Inference in the Presence of Latent Variables and Selection Bias. UAI 1995: 499-506
Coauthor Index
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