| 2023 | ICLR | 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 |
| 2022 | ICLR | Synchromesh: Reliable Code Generation from Pre-trained Language Models. | Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani |
| 2021 | ICLR | SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing. | Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah |
| 2021 | IUI | ForSense: Accelerating Online Research Through Sensemaking Integration and Machine Research Support. | Napol Rachatasumrit, Gonzalo A. Ramos, Jina Suh, Rachel Ng, Christopher Meek |
| 2021 | NAACL | Structure-Grounded Pretraining for Text-to-SQL. | Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson |
| 2021 | NAACL | NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction. | Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo A. Ramos, Ahmed Hassan Awadallah |
| 2020 | ACL | Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. | Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic, Christopher Meek |
| 2019 | CHI | 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 |
| 2017 | WSDM | Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. | Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu |
| 2016 | ACL | The Value of Semantic Parse Labeling for Knowledge Base Question Answering. | Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh |
| 2016 | AISTATS | Universal Models of Multivariate Temporal Point Processes. | Asela Gunawardana, Christopher Meek |
| 2015 | EMNLP | WikiQA: A Challenge Dataset for Open-Domain Question Answering. | Yi Yang, Wen-tau Yih, Christopher Meek |
| 2015 | HotOS | 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, Jaime Teevan, Mary Czerwinski, Susan T. Dumais |
| 2015 | UAI | Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. | David Maxwell Chickering, Christopher Meek |
| 2014 | ACL | Semantic Parsing for Single-Relation Question Answering. | Wen-tau Yih, Xiaodong He, Christopher Meek |
| 2014 | EMNLP | Typed Tensor Decomposition of Knowledge Bases for Relation Extraction. | Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek |
| 2014 | ICML | Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy. | Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek |
| 2014 | UAI | Toward Learning Graphical and Causal Process Models. | Christopher Meek |
| 2013 | ACL | Question Answering Using Enhanced Lexical Semantic Models. | Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak |
| 2013 | EMNLP | Multi-Relational Latent Semantic Analysis. | Kai-Wei Chang, Wen-tau Yih, Christopher Meek |
| 2013 | NAACL | Combining Heterogeneous Models for Measuring Relational Similarity. | Alisa Zhila, Wen-tau Yih, Christopher Meek, Geoffrey Zweig, Toms Mikolov |
| 2012 | ACL | Computational Approaches to Sentence Completion. | Geoffrey Zweig, John C. Platt, Christopher Meek, Christopher J. C. Burges, Ainur Yessenalina, Qiang Liu |
| 2012 | UAI | Conjoint Modeling of Temporal Dependencies in Event Streams. | Ankur Parikh, Asela Gunawardana, Christopher Meek |
| 2011 | CoNLL | Learning Discriminative Projections for Text Similarity Measures. | Wen-tau Yih, Kristina Toutanova, John C. Platt, Christopher Meek |
| 2010 | IUI | Usability guided key-target resizing for soft keyboards. | Asela Gunawardana, Tim Paek, Christopher Meek |
| 2009 | ICDM | Hierarchical Probabilistic Segmentation of Discrete Events. | Guy Shani, Christopher Meek, Asela Gunawardana |
| 2009 | IUI | Searching large indexes on tiny devices: optimizing binary search with character pinning. | Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson, Gina Danielle Venolia |
| 2009 | RecSys | A unified approach to building hybrid recommender systems. | Asela Gunawardana, Christopher Meek |
| 2008 | KDD | Partitioned logistic regression for spam filtering. | Ming-Wei Chang, Wen-tau Yih, Christopher Meek |
| 2008 | RecSys | Tied boltzmann machines for cold start recommendations. | Asela Gunawardana, Christopher Meek |
| 2008 | RecSys | Mining recommendations from the web. | Guy Shani, David Maxwell Chickering, Christopher Meek |
| 2008 | UAI | Inference for Multiplicative Models. | Ydo Wexler, Christopher Meek |
| 2007 | AAAI | Modeling Contextual Factors of Click Rates. | Hila Becker, Christopher Meek, David Maxwell Chickering |
| 2007 | AAAI | Improving Similarity Measures for Short Segments of Text. | Wen-tau Yih, Christopher Meek |
| 2007 | ECIR | Similarity Measures for Short Segments of Text. | Donald Metzler, Susan T. Dumais, Christopher Meek |
| 2007 | Interspeech | People watcher: a game for eliciting human-transcribed data for automated directory assistance. | Tim Paek, Yun-Cheng Ju, Christopher Meek |
| 2005 | AISTATS | Structured Variational Inference Procedures and their Realizations. | Dan Geiger, Christopher Meek |
| 2005 | AISTATS | Efficient Gradient Computation for Conditional Gaussian Models. | Bo Thiesson, Christopher Meek |
| 2005 | KDD | Adversarial learning. | Daniel Lowd, Christopher Meek |
| 2004 | ISMB | Efficient approximations for learning phylogenetic HMM models from data. | Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman |
| 2004 | SIGMOD | Identifying Similarities, Periodicities and Bursts for Online Search Queries. | Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos |
| 2004 | UAI | ARMA Time-Series Modeling with Graphical Models. | Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek |
| 2003 | AISTATS | Discriminative Model Selection for Density Models. | Bo Thiesson, Christopher Meek |
| 2003 | UAI | Large-Sample Learning of Bayesian Networks is NP-Hard. | David Maxwell Chickering, Christopher Meek, David Heckerman |
| 2003 | UAI | Practically Perfect. | Christopher Meek, David Maxwell Chickering |
| 2002 | UAI | Finding Optimal Bayesian Networks. | David Maxwell Chickering, Christopher Meek |
| 2002 | UAI | Factorization of Discrete Probability Distributions. | Dan Geiger, Christopher Meek, Bernd Sturmfels |
| 2002 | UAI | CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. | Carl Myers Kadie, Christopher Meek, David Heckerman |
| 2002 | UAI | Staged Mixture Modelling and Boosting. | Christopher Meek, Bo Thiesson, David Heckerman |
| 2002 | SDM | Autoregressive Tree Models for Time-Series Analysis. | Christopher Meek, David Maxwell Chickering, David Heckerman |
| 2001 | AISTATS | Finding a path is harder than finding a tree. | Christopher Meek |
| 2001 | AISTATS | The Learning Curve Method Applied to Clustering. | Christopher Meek, Bo Thiesson, David Heckerman |
| 2001 | ICDM | Efficient Determination of Dynamic Split Points in a Decision Tree. | David Maxwell Chickering, Christopher Meek, Robert Rounthwaite |
| 2001 | UAI | Using Temporal Data for Making Recommendations. | Andrew Zimdars, David Maxwell Chickering, Christopher Meek |
| 2000 | ICML | Challenges of the Email Domain for Text Classification. | Jake D. Brutlag, Christopher Meek |
| 2000 | KDD | Visualization of navigation patterns on a Web site using model-based clustering. | Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White |
| 2000 | KDD | Global partial orders from sequential data. | Heikki Mannila, Christopher Meek |
| 2000 | UAI | Perfect Tree-like Markovian Distributions. | Ann Becker, Dan Geiger, Christopher Meek |
| 2000 | UAI | Dependency Networks for Collaborative Filtering and Data Visualization. | David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie |
| 1999 | AISTATS | On the geometry of DAG models with hidden variables. | Dan Geiger, David Heckerman, Henry King, Christopher Meek |
| 1999 | UAI | Quantifier Elimination for Statistical Problems. | Dan Geiger, Christopher Meek |
| 1998 | UAI | Learning Mixtures of DAG Models. | Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman |
| 1997 | AISTATS | Heuristic Greedy Search Algorithms for Latent Variable Models. | Peter Spirtes, Thomas S. Richardson, Christopher Meek |
| 1997 | UAI | A Bayesian Approach to Learning Bayesian Networks with Local Structure. | David Maxwell Chickering, David Heckerman, Christopher Meek |
| 1997 | UAI | Models and Selection Criteria for Regression and Classification. | David Heckerman, Christopher Meek |
| 1997 | UAI | Structure and Parameter Learning for Causal Independence and Causal Interaction Models. | Christopher Meek, David Heckerman |
| 1996 | UAI | Asymptotic Model Selection for Directed Networks with Hidden Variables. | Dan Geiger, David Heckerman, Christopher Meek |
| 1995 | KDD | Learning Bayesian Networks with Discrete Variables from Data. | Peter Spirtes, Christopher Meek |
| 1995 | UAI | Causal inference and causal explanation with background knowledge. | Christopher Meek |
| 1995 | UAI | Strong completeness and faithfulness in Bayesian networks. | Christopher Meek |
| 1995 | UAI | Causal Inference in the Presence of Latent Variables and Selection Bias. | Peter Spirtes, Christopher Meek, Thomas S. Richardson |