Christopher Meek

According to our database, Christopher Meek authored at least 110 papers between 1995 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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., December, 2022

Recursive inversion models for permutations.

Marina Meila, Annelise Wagner, Christopher Meek

Stat. Comput., 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

CoRR, 2022

Synchromesh: Reliable Code Generation from Pre-trained Language Models.

Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding.

Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao

CoRR, 2021

Few-Shot Learning Evaluation in Natural Language Understanding.

Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Ge Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Structure-Grounded Pretraining for Text-to-SQL.

Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing.

Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context.

Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic, Christopher Meek

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Teaching Language for Building Object Detection Models.

Nicole Sultanum, Soroush Ghorashi, Christopher Meek, Gonzalo A. Ramos

Proceedings of the DIS '20: Designing Interactive Systems Conference 2020, 2020

2019

Embedded Bayesian Network Classifiers.

David Heckerman, Christopher Meek

CoRR, 2019

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

Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

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

Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints.

Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016

Analysis of a Design Pattern for Teaching with Features and Labels.

Christopher Meek, Patrice Y. Simard, Xiaojin Zhu

CoRR, 2016

A Characterization of Prediction Errors.

Christopher Meek

CoRR, 2016

Universal Models of Multivariate Temporal Point Processes.

Asela Gunawardana, Christopher Meek

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

The Value of Semantic Parse Labeling for Knowledge Base Question Answering.

Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Regularized Minimax Conditional Entropy for Crowdsourcing.

Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek, Nihar B. Shah

CoRR, 2015

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

David Maxwell Chickering, Christopher Meek

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 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, Jaime Teevan, Mary Czerwinski, Susan T. Dumais

Proceedings of the 15th Workshop on Hot Topics in Operating Systems, 2015

WikiQA: A Challenge Dataset for Open-Domain Question Answering.

Yi Yang, Wen-tau Yih, Christopher Meek

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Variations on undirected graphical models and their relationships.

David Heckerman, Christopher Meek, Thomas S. Richardson

Kybernetika, 2014

Toward Learning Graphical and Causal Process Models.

Christopher Meek

Proceedings of the UAI 2014 Workshop Causal Inference: Learning and Prediction co-located with 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014), 2014

Recursive Inversion Models for Permutations.

Christopher Meek, Marina Meila

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy.

Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek

Proceedings of the 31th International Conference on Machine Learning, 2014

Typed Tensor Decomposition of Knowledge Bases for Relation Extraction.

Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Semantic Parsing for Single-Relation Question Answering.

Wen-tau Yih, Xiaodong He, Christopher Meek

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Graphical Models and Exponential Families

Dan Geiger, Christopher Meek

CoRR, 2013

Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003)

Christopher Meek, Uffe Kjærulff

CoRR, 2013

Combining Heterogeneous Models for Measuring Relational Similarity.

Alisa Zhila, Wen-tau Yih, Christopher Meek, Geoffrey Zweig, Tomás Mikolov

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Multi-Relational Latent Semantic Analysis.

Kai-Wei Chang, Wen-tau Yih, Christopher Meek

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Question Answering Using Enhanced Lexical Semantic Models.

Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Conjoint Modeling of Temporal Dependencies in Event Streams.

Ankur Parikh, Asela Gunawardana, Christopher Meek

Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, 2012

Computational Approaches to Sentence Completion.

Geoffrey Zweig, John C. Platt, Christopher Meek, Christopher J. C. Burges, Ainur Yessenalina, Qiang Liu

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

Unsupervised hierarchical probabilistic segmentation of discrete events.

Guy Shani, Asela Gunawardana, Christopher Meek

Intell. Data Anal., 2011

The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising

Greg Linden, Christopher Meek, Max Chickering

CoRR, 2011

A Model for Temporal Dependencies in Event Streams.

Asela Gunawardana, Christopher Meek, Puyang Xu

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Tunneled TLS for multi-factor authentication.

Darko Kirovski, Christopher Meek

Proceedings of the 11th ACM Workshop on Digital Rights Management, 2011

Learning Discriminative Projections for Text Similarity Measures.

Wen-tau Yih, Kristina Toutanova, John C. Platt, Christopher Meek

Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 2011

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

Exact inference and learning for cumulative distribution functions on loopy graphs.

Jim C. Huang, Nebojsa Jojic, Christopher Meek

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Usability guided key-target resizing for soft keyboards.

Asela Gunawardana, Tim Paek, Christopher Meek

Proceedings of the 15th International Conference on Intelligent User Interfaces, 2010

2009

Markov Topic Models.

Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space.

Dan Geiger, Christopher Meek, Ydo Wexler

Bioinform., 2009

A unified approach to building hybrid recommender systems.

Asela Gunawardana, Christopher Meek

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Improving Existing Fault Recovery Policies.

Guy Shani, Christopher Meek

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Searching large indexes on tiny devices: optimizing binary search with character pinning.

Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson, Gina Danielle Venolia

Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009

Hierarchical Probabilistic Segmentation of Discrete Events.

Guy Shani, Christopher Meek, Asela Gunawardana

Proceedings of the ICDM 2009, 2009

2008

Inference for Multiplicative Models.

Ydo Wexler, Christopher Meek

Proceedings of the UAI 2008, 2008

Mining recommendations from the web.

Guy Shani, David Maxwell Chickering, Christopher Meek

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Tied boltzmann machines for cold start recommendations.

Asela Gunawardana, Christopher Meek

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

MAS: a multiplicative approximation scheme for probabilistic inference.

Ydo Wexler, Christopher Meek

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Partitioned logistic regression for spam filtering.

Ming-Wei Chang, Wen-tau Yih, Christopher Meek

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Mobile opportunistic commerce: mechanisms, architecture, and application.

Ece Kamar, Eric Horvitz, Christopher Meek

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

Consistent phrase relevance measures.

Wen-tau Yih, Christopher Meek

Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising, 2008

2007

People watcher: a game for eliciting human-transcribed data for automated directory assistance.

Tim Paek, Yun-Cheng Ju, Christopher Meek

Proceedings of the INTERSPEECH 2007, 2007

Similarity Measures for Short Segments of Text.

Donald Metzler, Susan T. Dumais, Christopher Meek

Proceedings of the Advances in Information Retrieval, 2007

Improving Similarity Measures for Short Segments of Text.

Wen-tau Yih, Christopher Meek

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Modeling Contextual Factors of Click Rates.

Hila Becker, Christopher Meek, David Maxwell Chickering

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Preface.

Serkan Hosten, Christopher Meek

J. Symb. Comput., 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

Structural Periodic Measures for Time-Series Data.

Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek

Data Min. Knowl. Discov., 2006

On the incompatibility of faithfulness and monotone DAG faithfulness.

David Maxwell Chickering, Christopher Meek

Artif. Intell., 2006

2005

Using epitomes to model genetic diversity: Rational design of HIV vaccines.

Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Adversarial learning.

Daniel Lowd, Christopher Meek

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Good Word Attacks on Statistical Spam Filters.

Daniel Lowd, Christopher Meek

Proceedings of the CEAS 2005, 2005

Efficient Gradient Computation for Conditional Gaussian Models.

Bo Thiesson, Christopher Meek

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

Structured Variational Inference Procedures and their Realizations.

Dan Geiger, Christopher Meek

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

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

David Maxwell Chickering, David Heckerman, Christopher Meek

J. Mach. Learn. Res., 2004

ARMA Time-Series Modeling with Graphical Models.

Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek

Proceedings of the UAI '04, 2004

Identifying Similarities, Periodicities and Bursts for Online Search Queries.

Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Efficient approximations for learning phylogenetic HMM models from data.

Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman

Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

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

Practically Perfect.

Christopher Meek, David Maxwell Chickering

Proceedings of the UAI '03, 2003

Discriminative Model Selection for Density Models.

Bo Thiesson, Christopher Meek

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

The Learning-Curve Sampling Method Applied to Model-Based Clustering.

Christopher Meek, Bo Thiesson, David Heckerman

J. Mach. Learn. Res., 2002

Staged Mixture Modelling and Boosting.

Christopher Meek, Bo Thiesson, David Heckerman

Proceedings of the UAI '02, 2002

CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence.

Carl Myers Kadie, Christopher Meek, David Heckerman

Proceedings of the UAI '02, 2002

Factorization of Discrete Probability Distributions.

Dan Geiger, Christopher Meek, Bernd Sturmfels

Proceedings of the UAI '02, 2002

Finding Optimal Bayesian Networks.

David Maxwell Chickering, Christopher Meek

Proceedings of the UAI '02, 2002

Autoregressive Tree Models for Time-Series Analysis.

Christopher Meek, David Maxwell Chickering, David Heckerman

Proceedings of the Second SIAM International Conference on Data Mining, 2002

2001

Accelerating EM for Large Databases.

Bo Thiesson, Christopher Meek, David Heckerman

Mach. Learn., 2001

Finding a Path is Harder than Finding a Tree.

Christopher Meek

J. Artif. Intell. Res., 2001

Using Temporal Data for Making Recommendations.

Andrew Zimdars, David Maxwell Chickering, Christopher Meek

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Efficient Determination of Dynamic Split Points in a Decision Tree.

David Maxwell Chickering, Christopher Meek, Robert Rounthwaite

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

The Learning Curve Method Applied to Clustering.

Christopher Meek, Bo Thiesson, David Heckerman

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

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

Dependency Networks for Collaborative Filtering and Data Visualization.

David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Perfect Tree-like Markovian Distributions.

Ann Becker, Dan Geiger, Christopher Meek

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Global partial orders from sequential data.

Heikki Mannila, Christopher Meek

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Visualization of navigation patterns on a Web site using model-based clustering.

Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Challenges of the Email Domain for Text Classification.

Jake D. Brutlag, Christopher Meek

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Quantifier Elimination for Statistical Problems.

Dan Geiger, Christopher Meek

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

On the geometry of DAG models with hidden variables.

Dan Geiger, David Heckerman, Henry King, Christopher Meek

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Learning Mixtures of DAG Models.

Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Asymptotic Model Selection for Directed Networks with Hidden Variables.

Dan Geiger, David Heckerman, Christopher Meek

Proceedings of the Learning in Graphical Models, 1998

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, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes

Artif. Intell. Medicine, 1997

Structure and Parameter Learning for Causal Independence and Causal Interaction Models.

Christopher Meek, David Heckerman

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Models and Selection Criteria for Regression and Classification.

David Heckerman, Christopher Meek

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

A Bayesian Approach to Learning Bayesian Networks with Local Structure.

David Maxwell Chickering, David Heckerman, Christopher Meek

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

1996

Asymptotic Model Selection for Directed Networks with Hidden Variables.

Dan Geiger, David Heckerman, Christopher Meek

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1995

Causal Inference in the Presence of Latent Variables and Selection Bias.

Peter Spirtes, Christopher Meek, Thomas S. Richardson

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Strong completeness and faithfulness in Bayesian networks.

Christopher Meek

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Causal inference and causal explanation with background knowledge.

Christopher Meek

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Learning Bayesian Networks with Discrete Variables from Data.

Peter Spirtes, Christopher Meek

Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995