Learning Bayesian Networks with Discrete Variables from Data. - Peter Spirtes; Christopher Meek (KDD, 1995)

Causal inference and causal explanation with background knowledge. - Christopher Meek (UAI, 1995)

Strong completeness and faithfulness in Bayesian networks. - Christopher Meek (UAI, 1995)

Causal Inference in the Presence of Latent Variables and Selection Bias. - Peter Spirtes; Christopher Meek; Thomas S. Richardson 001 (UAI, 1995)

Asymptotic Model Selection for Directed Networks with Hidden Variables. - Dan Geiger; David Heckerman; Christopher Meek (UAI, 1996)

Heuristic Greedy Search Algorithms for Latent Variable Models. - Peter Spirtes; Thomas S. Richardson 001; Christopher Meek (AISTATS, 1997)

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

Models and Selection Criteria for Regression and Classification. - David Heckerman; Christopher Meek (UAI, 1997)

Structure and Parameter Learning for Causal Independence and Causal Interaction Models. - Christopher Meek; David Heckerman (UAI, 1997)

An evaluation of machine-learning methods for predicting pneumonia mortality. - 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; et al. (Artif. Intell. Medicine, 1997)

Asymptotic Model Selection for Directed Networks with Hidden Variables. - Dan Geiger; David Heckerman; Christopher Meek (Learning in Graphical Models, 1998)

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

On the geometry of DAG models with hidden variables. - Dan Geiger; David Heckerman; Henry King; Christopher Meek (AISTATS, 1999)

Quantifier Elimination for Statistical Problems. - Dan Geiger; Christopher Meek (UAI, 1999)

Challenges of the Email Domain for Text Classification. - Jake D. Brutlag; Christopher Meek (ICML, 2000)

Visualization of navigation patterns on a Web site using model-based clustering. - Igor V. Cadez; David Heckerman; Christopher Meek; Padhraic Smyth; Steven White (KDD, 2000)

Global partial orders from sequential data. - Heikki Mannila; Christopher Meek (KDD, 2000)

Perfect Tree-like Markovian Distributions. - Ann Becker; Dan Geiger; Christopher Meek (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)

The Learning Curve Method Applied to Clustering. - Christopher Meek; Bo Thiesson; David Heckerman (AISTATS, 2001)

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

Using Temporal Data for Making Recommendations. - Andrew Zimdars; David Maxwell Chickering; Christopher Meek (UAI, 2001)

Finding a Path is Harder than Finding a Tree. - Christopher Meek (J. Artif. Intell. Res., 2001)

Accelerating EM for Large Databases. - Bo Thiesson; Christopher Meek; David Heckerman (Mach. Learn., 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)

Factorization of Discrete Probability Distributions. - Dan Geiger; Christopher Meek; Bernd Sturmfels (UAI, 2002)

CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. - Carl Myers Kadie; Christopher Meek; David Heckerman (UAI, 2002)

Staged Mixture Modelling and Boosting. - Christopher Meek; Bo Thiesson; David Heckerman (UAI, 2002)

The Learning-Curve Sampling Method Applied to Model-Based Clustering. - Christopher Meek; Bo Thiesson; David Heckerman (J. Mach. Learn. Res., 2002)

Discriminative Model Selection for Density Models. - Bo Thiesson; Christopher Meek (AISTATS, 2003)

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

Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. - Igor V. Cadez; David Heckerman; Christopher Meek; Padhraic Smyth; Steven White (Data Min. Knowl. Discov., 2003)

Efficient approximations for learning phylogenetic HMM models from data. - Vladimir Jojic; Nebojsa Jojic; Christopher Meek; Dan Geiger; Adam C. Siepel; David Haussler; David Heckerman (ISMB/ECCB (Supplement of Bioinformatics), 2004)

Identifying Similarities, Periodicities and Bursts for Online Search Queries. - Michail Vlachos; Christopher Meek; Zografoula Vagena; Dimitrios Gunopulos (SIGMOD Conference, 2004)

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)

Structured Variational Inference Procedures and their Realizations. - Dan Geiger; Christopher Meek (AISTATS, 2005)

Efficient Gradient Computation for Conditional Gaussian Models. - Bo Thiesson; Christopher Meek (AISTATS, 2005)

Good Word Attacks on Statistical Spam Filters. - Daniel Lowd; Christopher Meek (CEAS, 2005)

Adversarial learning. - Daniel Lowd; Christopher Meek (KDD, 2005)

Using epitomes to model genetic diversity: Rational design of HIV vaccines. - Nebojsa Jojic; Vladimir Jojic; Brendan J. Frey; Christopher Meek; David Heckerman (NIPS, 2005)

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

Structural Periodic Measures for Time-Series Data. - Michail Vlachos; Philip S. Yu; Vittorio Castelli; Christopher Meek (Data Min. Knowl. Discov., 2006)

A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints. - Dan Geiger; Christopher Meek; Ydo Wexler (J. Artif. Intell. Res., 2006)

Preface. - Serkan Hosten; Christopher Meek (J. Symb. Comput., 2006)

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

Improving Similarity Measures for Short Segments of Text. - Wen-tau Yih; Christopher Meek (AAAI, 2007)

Similarity Measures for Short Segments of Text. - Donald Metzler; Susan T. Dumais; Christopher Meek (ECIR, 2007)

People watcher: a game for eliciting human-transcribed data for automated directory assistance. - Tim Paek; Yun-Cheng Ju; Christopher Meek (INTERSPEECH, 2007)

Consistent phrase relevance measures. - Wen-tau Yih; Christopher Meek (AdKDD@KDD, 2008)

Mobile opportunistic commerce: mechanisms, architecture, and application. - Ece Kamar; Eric Horvitz; Christopher Meek (AAMAS (2), 2008)

Partitioned logistic regression for spam filtering. - Ming-Wei Chang; Wen-tau Yih; Christopher Meek (KDD, 2008)

MAS: a multiplicative approximation scheme for probabilistic inference. - Ydo Wexler; Christopher Meek (NIPS, 2008)

Tied boltzmann machines for cold start recommendations. - Asela Gunawardana; Christopher Meek (RecSys, 2008)

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

Inference for Multiplicative Models. - Ydo Wexler; Christopher Meek (UAI, 2008)

Hierarchical Probabilistic Segmentation of Discrete Events. - Guy Shani; Christopher Meek; Asela Gunawardana (ICDM, 2009)

Searching large indexes on tiny devices: optimizing binary search with character pinning. - Guy Shani; Christopher Meek; Tim Paek; Bo Thiesson; Gina Danielle Venolia (IUI, 2009)

Improving Existing Fault Recovery Policies. - Guy Shani; Christopher Meek (NIPS, 2009)

A unified approach to building hybrid recommender systems. - Asela Gunawardana; Christopher Meek (RecSys, 2009)

Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space. - Dan Geiger; Christopher Meek; Ydo Wexler (Bioinform., 2009)

Markov Topic Models. - Chong Wang 002; Bo Thiesson; Christopher Meek; David M. Blei (AISTATS, 2009)

Usability guided key-target resizing for soft keyboards. - Asela Gunawardana; Tim Paek; Christopher Meek (IUI, 2010)

Exact inference and learning for cumulative distribution functions on loopy graphs. - Jim C. Huang; Nebojsa Jojic; Christopher Meek (NIPS, 2010)

Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping. - Sivan Bercovici; Christopher Meek; Ydo Wexler; Dan Geiger (Bioinform., 2010)

Learning Discriminative Projections for Text Similarity Measures. - Wen-tau Yih; Kristina Toutanova; John C. Platt; Christopher Meek (CoNLL, 2011)

Tunneled TLS for multi-factor authentication. - Darko Kirovski; Christopher Meek (Digital Rights Management Workshop, 2011)

A Model for Temporal Dependencies in Event Streams. - Asela Gunawardana; Christopher Meek; Puyang Xu (NIPS, 2011)

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

Unsupervised hierarchical probabilistic segmentation of discrete events. - Guy Shani; Asela Gunawardana; Christopher Meek (Intell. Data Anal., 2011)

Computational Approaches to Sentence Completion. - Geoffrey Zweig; John C. Platt; Christopher Meek; Christopher J. C. Burges; Ainur Yessenalina; Qiang Liu 001 (ACL (1), 2012)

Conjoint Modeling of Temporal Dependencies in Event Streams. - Ankur Parikh; Asela Gunawardana; Christopher Meek (BMA, 2012)

Question Answering Using Enhanced Lexical Semantic Models. - Wen-tau Yih; Ming-Wei Chang; Christopher Meek; Andrzej Pastusiak (ACL (1), 2013)

Multi-Relational Latent Semantic Analysis. - Kai-Wei Chang; Wen-tau Yih; Christopher Meek (EMNLP, 2013)

Combining Heterogeneous Models for Measuring Relational Similarity. - Alisa Zhila; Wen-tau Yih; Christopher Meek; Geoffrey Zweig; Tomás Mikolov (HLT-NAACL, 2013)

Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003) - Christopher Meek; Uffe Kjærulff (CoRR, 2013)

Graphical Models and Exponential Families - Dan Geiger; Christopher Meek (CoRR, 2013)

Semantic Parsing for Single-Relation Question Answering. - Wen-tau Yih; Xiaodong He 001; Christopher Meek (ACL (2), 2014)

Typed Tensor Decomposition of Knowledge Bases for Relation Extraction. - Kai-Wei Chang; Wen-tau Yih; Bishan Yang; Christopher Meek (EMNLP, 2014)

Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy. - Dengyong Zhou; Qiang Liu 001; John C. Platt; Christopher Meek (ICML, 2014)

Recursive Inversion Models for Permutations. - Christopher Meek; Marina Meila (NIPS, 2014)

Toward Learning Graphical and Causal Process Models. - Christopher Meek (CI@UAI, 2014)

Variations on undirected graphical models and their relationships. - David Heckerman; Christopher Meek; Thomas S. Richardson 001 (Kybernetika, 2014)

WikiQA: A Challenge Dataset for Open-Domain Question Answering. - Yi Yang 038; Wen-tau Yih; Christopher Meek (EMNLP, 2015)

The Activity Platform. - Helen J. Wang; Alexander Moshchuk; Michael Gamon; Shamsi T. Iqbal; Eli T. Brown; Ashish Kapoor; Christopher Meek; Eric Yawei Chen; Yuan Tian 001; Jaime Teevan; Mary Czerwinski; Susan T. Dumais (HotOS, 2015)

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

Regularized Minimax Conditional Entropy for Crowdsourcing. - Dengyong Zhou; Qiang Liu 001; John C. Platt; Christopher Meek; Nihar B. Shah (CoRR, 2015)

The Value of Semantic Parse Labeling for Knowledge Base Question Answering. - Wen-tau Yih; Matthew Richardson; Christopher Meek; Ming-Wei Chang; Jina Suh (ACL (2), 2016)

Universal Models of Multivariate Temporal Point Processes. - Asela Gunawardana; Christopher Meek (AISTATS, 2016)

A Characterization of Prediction Errors. - Christopher Meek (CoRR, 2016)

Analysis of a Design Pattern for Teaching with Features and Labels. - Christopher Meek; Patrice Y. Simard; Xiaojin Zhu 001 (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)

Emerging Perspectives in Human-Centered Machine Learning. - Gonzalo A. Ramos; Jina Suh; Soroush Ghorashi; Christopher Meek; Richard Banks; Saleema Amershi; Rebecca Fiebrink; Alison Smith-Renner; Gagan Bansal (CHI Extended Abstracts, 2019)

Embedded Bayesian Network Classifiers. - David Heckerman; Christopher Meek (CoRR, 2019)

A Teaching Language for Building Object Detection Models. - Nicole Sultanum; Soroush Ghorashi; Christopher Meek; Gonzalo A. Ramos (Conference on Designing Interactive Systems, 2020)

Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. - Shashank Srivastava; Oleksandr Polozov; Nebojsa Jojic; Christopher Meek (ACL, 2020)

Interactive machine teaching: a human-centered approach to building machine-learned models. - Gonzalo A. Ramos; Christopher Meek; Patrice Y. Simard; Jina Suh; Soroush Ghorashi (Hum. Comput. Interact., 2020)

SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing. - Tao Yu 009; Rui Zhang 037; Alex Polozov; Christopher Meek; Ahmed Hassan Awadallah (ICLR, 2021)

Structure-Grounded Pretraining for Text-to-SQL. - Xiang Deng 001; Ahmed Hassan Awadallah; Christopher Meek; Oleksandr Polozov; Huan Sun 001; Matthew Richardson (NAACL-HLT, 2021)

NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction. - Ahmed Elgohary; Christopher Meek; Matthew Richardson; Adam Fourney; Gonzalo A. Ramos; Ahmed Hassan Awadallah (NAACL-HLT, 2021)

Few-Shot Learning Evaluation in Natural Language Understanding. - Subhabrata Mukherjee; Xiaodong Liu 003; Guoqing Zheng; Saghar Hosseini; Hao Cheng 002; Ge Yang; Christopher Meek; Ahmed Hassan Awadallah; Jianfeng Gao 001 (NeurIPS Datasets and Benchmarks, 2021)

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. - Subhabrata Mukherjee; Xiaodong Liu 003; Guoqing Zheng; Saghar Hosseini; Hao Cheng 002; Greg Yang; Christopher Meek; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2021)

Synchromesh: Reliable Code Generation from Pre-trained Language Models. - Gabriel Poesia; Alex Polozov; Vu Le 002; Ashish Tiwari 001; Gustavo Soares; Christopher Meek; Sumit Gulwani (ICLR, 2022)

Learning from Self-Sampled Correct and Partially-Correct Programs. - Ansong Ni; Jeevana Priya Inala; Chenglong Wang; Oleksandr Polozov; Christopher Meek; Dragomir R. Radev; Jianfeng Gao 001 (CoRR, 2022)

Recursive inversion models for permutations. - Marina Meila; Annelise Wagner; Christopher Meek (Stat. Comput., 2022)

ForSense: Accelerating Online Research Through Sensemaking Integration and Machine Research Support. - Gonzalo A. Ramos; Napol Rachatasumrit; Jina Suh; Rachel Ng; Christopher Meek (ACM Trans. Interact. Intell. Syst., 2022)

Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. - Ansong Ni; Jeevana Priya Inala; Chenglong Wang; Alex Polozov; Christopher Meek; Dragomir Radev; Jianfeng Gao 001 (ICLR, 2023)

FoundWright: A System to Help People Re-find Pages from Their Web-history. - Haekyu Park; Gonzalo A. Ramos; Jina Suh; Christopher Meek; Rachel Ng; Mary Czerwinski (CoRR, 2023)