Christopher Meek

140 papers A* 18A 43B 1Journal 54Unranked 23

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	FoundWright: A System to Help People Re-find Pages from Their Web-history. CoRR Haekyu Park, Gonzalo A. Ramos, Jina Suh, Christopher Meek, Rachel Ng, Mary Czerwinski
2023	A*	`conf`	Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. ICLR Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao
2022	J	`jnl`	ForSense: Accelerating Online Research Through Sensemaking Integration and Machine Research Support. ACM Trans. Interact. Intell. Syst. Gonzalo A. Ramos, Napol Rachatasumrit, Jina Suh, Rachel Ng, Christopher Meek
2022	J	`jnl`	Learning from Self-Sampled Correct and Partially-Correct Programs. CoRR Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao
2022	J	`jnl`	Recursive inversion models for permutations. Stat. Comput. Marina Meila, Annelise Wagner, Christopher Meek
2022	A*	`conf`	Synchromesh: Reliable Code Generation from Pre-trained Language Models. ICLR Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani
2022	J	`jnl`	Synchromesh: Reliable code generation from pre-trained language models. CoRR Gabriel Poesia, Oleksandr Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani
2021	J	`jnl`	CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. CoRR Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao
2021	—	`conf`	Few-Shot Learning Evaluation in Natural Language Understanding. NeurIPS Datasets and Benchmarks Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Ge Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao
2021	A	`conf`	ForSense: Accelerating Online Research Through Sensemaking Integration and Machine Research Support. IUI Napol Rachatasumrit, Gonzalo A. Ramos, Jina Suh, Rachel Ng, Christopher Meek
2021	—	`conf`	NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction. NAACL-HLT Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo A. Ramos, Ahmed Hassan Awadallah
2021	J	`jnl`	NL-EDIT: Correcting semantic parse errors through natural language interaction. CoRR Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo A. Ramos, Ahmed Hassan Awadallah
2021	A*	`conf`	SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing. ICLR Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah
2021	—	`conf`	Structure-Grounded Pretraining for Text-to-SQL. NAACL-HLT Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson
2020	A	`conf`	A Teaching Language for Building Object Detection Models. Conference on Designing Interactive Systems Nicole Sultanum, Soroush Ghorashi, Christopher Meek, Gonzalo A. Ramos
2020	J	`jnl`	Interactive machine teaching: a human-centered approach to building machine-learned models. Hum. Comput. Interact. Gonzalo A. Ramos, Christopher Meek, Patrice Y. Simard, Jina Suh, Soroush Ghorashi
2020	A*	`conf`	Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. ACL Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic, Christopher Meek
2020	J	`jnl`	Structure-Grounded Pretraining for Text-to-SQL. CoRR Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson
2019	J	`jnl`	Embedded Bayesian Network Classifiers. CoRR David Heckerman, Christopher Meek
2019	—	`conf`	Emerging Perspectives in Human-Centered Machine Learning. CHI Extended Abstracts Gonzalo A. Ramos, Jina Suh, Soroush Ghorashi, Christopher Meek, Richard Banks, Saleema Amershi, Rebecca Fiebrink, Alison Smith-Renner, Gagan Bansal
2017	A	`conf`	Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. WSDM Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu
2017	J	`jnl`	Machine Teaching: A New Paradigm for Building Machine Learning Systems. CoRR 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
2016	J	`jnl`	A Characterization of Prediction Errors. CoRR Christopher Meek
2016	J	`jnl`	Analysis of a Design Pattern for Teaching with Features and Labels. CoRR Christopher Meek, Patrice Y. Simard, Xiaojin Zhu
2016	—	`conf`	The Value of Semantic Parse Labeling for Knowledge Base Question Answering. ACL (2) Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh
2016	A	`conf`	Universal Models of Multivariate Temporal Point Processes. AISTATS Asela Gunawardana, Christopher Meek
2015	J	`jnl`	Regularized Minimax Conditional Entropy for Crowdsourcing. CoRR Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek, Nihar B. Shah
2015	A	`conf`	Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. UAI David Maxwell Chickering, Christopher Meek
2015	J	`jnl`	Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. CoRR David Maxwell Chickering, Christopher Meek
2015	A	`conf`	The Activity Platform. HotOS 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	A*	`conf`	WikiQA: A Challenge Dataset for Open-Domain Question Answering. EMNLP Yi Yang, Wen-tau Yih, Christopher Meek
2014	A*	`conf`	Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy. ICML Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek
2014	—	`conf`	Recursive Inversion Models for Permutations. NIPS Christopher Meek, Marina Meila
2014	—	`conf`	Semantic Parsing for Single-Relation Question Answering. ACL (2) Wen-tau Yih, Xiaodong He, Christopher Meek
2014	—	`conf`	Toward Learning Graphical and Causal Process Models. CI@UAI Christopher Meek
2014	A*	`conf`	Typed Tensor Decomposition of Knowledge Bases for Relation Extraction. EMNLP Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek
2014	J	`jnl`	Variations on undirected graphical models and their relationships. Kybernetika David Heckerman, Christopher Meek, Thomas S. Richardson
2013	J	`jnl`	A Bayesian Approach to Learning Bayesian Networks with Local Structure CoRR David Maxwell Chickering, David Heckerman, Christopher Meek
2013	J	`jnl`	Asymptotic Model Selection for Directed Networks with Hidden Variables CoRR Dan Geiger, David Heckerman, Christopher Meek
2013	J	`jnl`	CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence CoRR Carl Myers Kadie, Christopher Meek, David Heckerman
2013	J	`jnl`	Causal Inference and Causal Explanation with Background Knowledge CoRR Christopher Meek
2013	J	`jnl`	Causal Inference in the Presence of Latent Variables and Selection Bias CoRR Peter Spirtes, Christopher Meek, Thomas S. Richardson
2013	—	`conf`	Combining Heterogeneous Models for Measuring Relational Similarity. HLT-NAACL Alisa Zhila, Wen-tau Yih, Christopher Meek, Geoffrey Zweig, Tomás Mikolov
2013	J	`jnl`	Dependency Networks for Collaborative Filtering and Data Visualization CoRR David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
2013	J	`jnl`	Factorization of Discrete Probability Distributions CoRR Dan Geiger, Christopher Meek, Bernd Sturmfels
2013	J	`jnl`	Finding Optimal Bayesian Networks CoRR David Maxwell Chickering, Christopher Meek
2013	J	`jnl`	Graphical Models and Exponential Families CoRR Dan Geiger, Christopher Meek
2013	J	`jnl`	Learning Mixtures of DAG Models CoRR Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
2013	J	`jnl`	Models and Selection Criteria for Regression and Classification CoRR David Heckerman, Christopher Meek
2013	A*	`conf`	Multi-Relational Latent Semantic Analysis. EMNLP Kai-Wei Chang, Wen-tau Yih, Christopher Meek
2013	J	`jnl`	Perfect Tree-Like Markovian Distributions CoRR Ann Becker, Dan Geiger, Christopher Meek
2013	J	`jnl`	Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003) CoRR Christopher Meek, Uffe Kjærulff
2013	J	`jnl`	Quantifier Elimination for Statistical Problems CoRR Dan Geiger, Christopher Meek
2013	—	`conf`	Question Answering Using Enhanced Lexical Semantic Models. ACL (1) Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak
2013	J	`jnl`	Staged Mixture Modelling and Boosting CoRR Christopher Meek, Bo Thiesson, David Heckerman
2013	J	`jnl`	Strong Completeness and Faithfulness in Bayesian Networks CoRR Christopher Meek
2013	J	`jnl`	Structure and Parameter Learning for Causal Independence and Causal Interaction Models CoRR Christopher Meek, David Heckerman
2013	J	`jnl`	Using Temporal Data for Making Recommendations CoRR Andrew Zimdars, David Maxwell Chickering, Christopher Meek
2012	J	`jnl`	ARMA Time-Series Modeling with Graphical Models CoRR Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
2012	—	`conf`	Computational Approaches to Sentence Completion. ACL (1) Geoffrey Zweig, John C. Platt, Christopher Meek, Christopher J. C. Burges, Ainur Yessenalina, Qiang Liu
2012	—	`conf`	Conjoint Modeling of Temporal Dependencies in Event Streams. BMA Ankur Parikh, Asela Gunawardana, Christopher Meek
2012	J	`jnl`	Inference for Multiplicative Models CoRR Ydo Wexler, Christopher Meek
2012	J	`jnl`	Large-Sample Learning of Bayesian Networks is NP-Hard CoRR David Maxwell Chickering, Christopher Meek, David Heckerman
2012	J	`jnl`	Practically Perfect CoRR Christopher Meek, David Maxwell Chickering
2011	—	`conf`	A Model for Temporal Dependencies in Event Streams. NIPS Asela Gunawardana, Christopher Meek, Puyang Xu
2011	J	`jnl`	Finding a Path is Harder than Finding a Tree CoRR Christopher Meek
2011	B	`conf`	Learning Discriminative Projections for Text Similarity Measures. CoNLL Wen-tau Yih, Kristina Toutanova, John C. Platt, Christopher Meek
2011	J	`jnl`	The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising CoRR Greg Linden, Christopher Meek, Max Chickering
2011	—	`conf`	Tunneled TLS for multi-factor authentication. Digital Rights Management Workshop Darko Kirovski, Christopher Meek
2011	J	`jnl`	Unsupervised hierarchical probabilistic segmentation of discrete events. Intell. Data Anal. Guy Shani, Asela Gunawardana, Christopher Meek
2010	J	`jnl`	Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping. Bioinform. Sivan Bercovici, Christopher Meek, Ydo Wexler, Dan Geiger
2010	—	`conf`	Exact inference and learning for cumulative distribution functions on loopy graphs. NIPS Jim C. Huang, Nebojsa Jojic, Christopher Meek
2010	A	`conf`	Usability guided key-target resizing for soft keyboards. IUI Asela Gunawardana, Tim Paek, Christopher Meek
2009	A	`conf`	A unified approach to building hybrid recommender systems. RecSys Asela Gunawardana, Christopher Meek
2009	A*	`conf`	Hierarchical Probabilistic Segmentation of Discrete Events. ICDM Guy Shani, Christopher Meek, Asela Gunawardana
2009	—	`conf`	Improving Existing Fault Recovery Policies. NIPS Guy Shani, Christopher Meek
2009	A	`conf`	Markov Topic Models. AISTATS Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei
2009	A	`conf`	Searching large indexes on tiny devices: optimizing binary search with character pinning. IUI Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson, Gina Danielle Venolia
2009	J	`jnl`	Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space. Bioinform. Dan Geiger, Christopher Meek, Ydo Wexler
2008	—	`conf`	Consistent phrase relevance measures. AdKDD@KDD Wen-tau Yih, Christopher Meek
2008	A	`conf`	Inference for Multiplicative Models. UAI Ydo Wexler, Christopher Meek
2008	—	`conf`	MAS: a multiplicative approximation scheme for probabilistic inference. NIPS Ydo Wexler, Christopher Meek
2008	A	`conf`	Mining recommendations from the web. RecSys Guy Shani, David Maxwell Chickering, Christopher Meek
2008	—	`conf`	Mobile opportunistic commerce: mechanisms, architecture, and application. AAMAS (2) Ece Kamar, Eric Horvitz, Christopher Meek
2008	A*	`conf`	Partitioned logistic regression for spam filtering. KDD Ming-Wei Chang, Wen-tau Yih, Christopher Meek
2008	A	`conf`	Tied boltzmann machines for cold start recommendations. RecSys Asela Gunawardana, Christopher Meek
2007	A*	`conf`	Improving Similarity Measures for Short Segments of Text. AAAI Wen-tau Yih, Christopher Meek
2007	A*	`conf`	Modeling Contextual Factors of Click Rates. AAAI Hila Becker, Christopher Meek, David Maxwell Chickering
2007	A	`conf`	People watcher: a game for eliciting human-transcribed data for automated directory assistance. INTERSPEECH Tim Paek, Yun-Cheng Ju, Christopher Meek
2007	A	`conf`	Similarity Measures for Short Segments of Text. ECIR Donald Metzler, Susan T. Dumais, Christopher Meek
2006	J	`jnl`	A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints. J. Artif. Intell. Res. Dan Geiger, Christopher Meek, Ydo Wexler
2006	J	`jnl`	On the incompatibility of faithfulness and monotone DAG faithfulness. Artif. Intell. David Maxwell Chickering, Christopher Meek
2006	J	`jnl`	Preface. J. Symb. Comput. Serkan Hosten, Christopher Meek
2006	J	`jnl`	Structural Periodic Measures for Time-Series Data. Data Min. Knowl. Discov. Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek
2005	A*	`conf`	Adversarial learning. KDD Daniel Lowd, Christopher Meek
2005	A	`conf`	Efficient Gradient Computation for Conditional Gaussian Models. AISTATS Bo Thiesson, Christopher Meek
2005	—	`conf`	Good Word Attacks on Statistical Spam Filters. CEAS Daniel Lowd, Christopher Meek
2005	A	`conf`	Structured Variational Inference Procedures and their Realizations. AISTATS Dan Geiger, Christopher Meek
2005	—	`conf`	Using epitomes to model genetic diversity: Rational design of HIV vaccines. NIPS Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman
2004	A	`conf`	ARMA Time-Series Modeling with Graphical Models. UAI Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
2004	—	`conf`	Efficient approximations for learning phylogenetic HMM models from data. ISMB/ECCB (Supplement of Bioinformatics) Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman
2004	—	`conf`	Identifying Similarities, Periodicities and Bursts for Online Search Queries. SIGMOD Conference Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos
2004	J	`jnl`	Large-Sample Learning of Bayesian Networks is NP-Hard. J. Mach. Learn. Res. David Maxwell Chickering, David Heckerman, Christopher Meek
2003	A	`conf`	Discriminative Model Selection for Density Models. AISTATS Bo Thiesson, Christopher Meek
2003	A	`conf`	Large-Sample Learning of Bayesian Networks is NP-Hard. UAI David Maxwell Chickering, Christopher Meek, David Heckerman
2003	J	`jnl`	Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Data Min. Knowl. Discov. Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White
2003	A	`conf`	Practically Perfect. UAI Christopher Meek, David Maxwell Chickering
2003	A	`ed.`	UAI '03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, Acapulco, Mexico, August 7-10 2003 UAI Christopher Meek, Uffe Kjærulff
2002	A	`conf`	Autoregressive Tree Models for Time-Series Analysis. SDM Christopher Meek, David Maxwell Chickering, David Heckerman
2002	A	`conf`	CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. UAI Carl Myers Kadie, Christopher Meek, David Heckerman
2002	A	`conf`	Factorization of Discrete Probability Distributions. UAI Dan Geiger, Christopher Meek, Bernd Sturmfels
2002	A	`conf`	Finding Optimal Bayesian Networks. UAI David Maxwell Chickering, Christopher Meek
2002	A	`conf`	Staged Mixture Modelling and Boosting. UAI Christopher Meek, Bo Thiesson, David Heckerman
2002	J	`jnl`	The Learning-Curve Sampling Method Applied to Model-Based Clustering. J. Mach. Learn. Res. Christopher Meek, Bo Thiesson, David Heckerman
2001	J	`jnl`	Accelerating EM for Large Databases. Mach. Learn. Bo Thiesson, Christopher Meek, David Heckerman
2001	A*	`conf`	Efficient Determination of Dynamic Split Points in a Decision Tree. ICDM David Maxwell Chickering, Christopher Meek, Robert Rounthwaite
2001	J	`jnl`	Finding a Path is Harder than Finding a Tree. J. Artif. Intell. Res. Christopher Meek
2001	A	`conf`	Finding a path is harder than finding a tree. AISTATS Christopher Meek
2001	A	`conf`	The Learning Curve Method Applied to Clustering. AISTATS Christopher Meek, Bo Thiesson, David Heckerman
2001	A	`conf`	Using Temporal Data for Making Recommendations. UAI Andrew Zimdars, David Maxwell Chickering, Christopher Meek
2000	A*	`conf`	Challenges of the Email Domain for Text Classification. ICML Jake D. Brutlag, Christopher Meek
2000	A	`conf`	Dependency Networks for Collaborative Filtering and Data Visualization. UAI David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
2000	J	`jnl`	Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. J. Mach. Learn. Res. David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
2000	A*	`conf`	Global partial orders from sequential data. KDD Heikki Mannila, Christopher Meek
2000	A	`conf`	Perfect Tree-like Markovian Distributions. UAI Ann Becker, Dan Geiger, Christopher Meek
2000	A*	`conf`	Visualization of navigation patterns on a Web site using model-based clustering. KDD Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White
1999	A	`conf`	On the geometry of DAG models with hidden variables. AISTATS Dan Geiger, David Heckerman, Henry King, Christopher Meek
1999	A	`conf`	Quantifier Elimination for Statistical Problems. UAI Dan Geiger, Christopher Meek
1998	—	`ch.`	Asymptotic Model Selection for Directed Networks with Hidden Variables. Learning in Graphical Models Dan Geiger, David Heckerman, Christopher Meek
1998	A	`conf`	Learning Mixtures of DAG Models. UAI Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
1997	A	`conf`	A Bayesian Approach to Learning Bayesian Networks with Local Structure. UAI David Maxwell Chickering, David Heckerman, Christopher Meek
1997	J	`jnl`	An evaluation of machine-learning methods for predicting pneumonia mortality. Artif. Intell. Medicine 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
1997	A	`conf`	Heuristic Greedy Search Algorithms for Latent Variable Models. AISTATS Peter Spirtes, Thomas S. Richardson, Christopher Meek
1997	A	`conf`	Models and Selection Criteria for Regression and Classification. UAI David Heckerman, Christopher Meek
1997	A	`conf`	Structure and Parameter Learning for Causal Independence and Causal Interaction Models. UAI Christopher Meek, David Heckerman
1996	A	`conf`	Asymptotic Model Selection for Directed Networks with Hidden Variables. UAI Dan Geiger, David Heckerman, Christopher Meek
1995	A	`conf`	Causal Inference in the Presence of Latent Variables and Selection Bias. UAI Peter Spirtes, Christopher Meek, Thomas S. Richardson
1995	A	`conf`	Causal inference and causal explanation with background knowledge. UAI Christopher Meek
1995	A*	`conf`	Learning Bayesian Networks with Discrete Variables from Data. KDD Peter Spirtes, Christopher Meek
1995	A	`conf`	Strong completeness and faithfulness in Bayesian networks. UAI Christopher Meek