Meek, Christopher

49 publications

ICLR 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

ICLR 2022 Synchromesh: Reliable Code Generation from Pre-Trained Language Models Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani

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

NeurIPSW 2020 SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah

AISTATS 2016 Universal Models of Multivariate Temporal Point Processes Asela Gunawardana, Christopher Meek

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

ICML 2014 Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy Dengyong Zhou, Qiang Liu, John Platt, Christopher Meek

NeurIPS 2014 Recursive Inversion Models for Permutations Christopher Meek, Marina Meila

UAI 2014 Toward Learning Graphical and Causal Process Models Christopher Meek

UAI 2012 Conjoint Modeling of Temporal Dependencies in Event Streams Ankur Parikh, Asela Gunawardana, Christopher Meek

NeurIPS 2011 A Model for Temporal Dependencies in Event Streams Asela Gunawardana, Christopher Meek, Puyang Xu

NeurIPS 2009 Improving Existing Fault Recovery Policies Guy Shani, Christopher Meek

UAI 2008 Inference for Multiplicative Models Ydo Wexler, Christopher Meek

NeurIPS 2008 MAS: A Multiplicative Approximation Scheme for Probabilistic Inference Ydo Wexler, Christopher Meek

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

AAAI 2007 Modeling Contextual Factors of Click Rates Hila Becker, Christopher Meek, David Maxwell Chickering

JAIR 2006 A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints Dan Geiger, Christopher Meek, Ydo Wexler

NeurIPS 2005 Using ``epitomes'' to Model Genetic Diversity: Rational Design of HIV Vaccine Cocktails Nebojsa Jojic, Vladimir Jojic, Christopher Meek, David Heckerman, Brendan J. Frey

UAI 2004 ARMA Time-Series Modeling with Graphical Models Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek

JMLR 2004 Large-Sample Learning of Bayesian Networks Is NP-Hard David Maxwell Chickering, David Heckerman, Christopher Meek

AISTATS 2003 Discriminative Model Selection for Density Models Bo Thiesson, Christopher Meek

UAI 2003 Large-Sample Learning of Bayesian Networks Is NP-Hard David Maxwell Chickering, Christopher Meek, David Heckerman

UAI 2003 Practically Perfect Christopher Meek, David Maxwell Chickering

UAI 2003 UAI '03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, Acapulco, Mexico, August 7-10 2003 Christopher Meek, Uffe Kjærulff

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

UAI 2002 Factorization of Discrete Probability Distributions Dan Geiger, Christopher Meek, Bernd Sturmfels

UAI 2002 Finding Optimal Bayesian Networks David Maxwell Chickering, Christopher Meek

UAI 2002 Staged Mixture Modelling and Boosting Christopher Meek, Bo Thiesson, David Heckerman

JMLR 2002 The Learning-Curve Sampling Method Applied to Model-Based Clustering Christopher Meek, Bo Thiesson, David Heckerman

MLJ 2001 Accelerating EM for Large Databases Bo Thiesson, Christopher Meek, David Heckerman

AISTATS 2001 Finding a Path Is Harder than Finding a Tree Christopher Meek

JAIR 2001 Finding a Path Is Harder than Finding a Tree Christopher Meek

AISTATS 2001 The Learning Curve Method Applied to Clustering Christopher Meek, Bo Thiesson, David Heckerman

UAI 2001 Using Temporal Data for Making Recommendations Andrew Zimdars, David Maxwell Chickering, Christopher Meek

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

UAI 2000 Dependency Networks for Collaborative Filtering and Data Visualization David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie

JMLR 2000 Dependency Networks for Inference, Collaborative Filtering, and Data Visualization David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie

UAI 2000 Perfect Tree-like Markovian Distributions Ann Becker, Dan Geiger, Christopher Meek

AISTATS 1999 On the Geometry of DAG Models with Hidden Variables Dan Geiger, David Heckerman, Henry King, Christopher Meek

UAI 1999 Quantifier Elimination for Statistical Problems Dan Geiger, Christopher Meek

UAI 1998 Learning Mixtures of DAG Models Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman

UAI 1997 A Bayesian Approach to Learning Bayesian Networks with Local Structure David Maxwell Chickering, David Heckerman, Christopher Meek

AISTATS 1997 Heuristic Greedy Search Algorithms for Latent Variable Models Peter Spirtes, Thomas S.Richardson, 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 1996 Asymptotic Model Selection for Directed Networks with Hidden Variables Dan Geiger, David Heckerman, Christopher Meek

UAI 1995 Causal Inference and Causal Explanation with Background Knowledge Christopher Meek

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

UAI 1995 Strong Completeness and Faithfulness in Bayesian Networks Christopher Meek