default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChristopher Meek
Person information
- affiliation: Machine Learning Department, Microsoft Research
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[c84]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao:
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. ICLR 2023- [i36]Haekyu Park, Gonzalo A. Ramos, Jina Suh, Christopher Meek, Rachel Ng, Mary Czerwinski:
FoundWright: A System to Help People Re-find Pages from Their Web-history. CoRR abs/2305.07930 (2023) - 2022
- [j18]Marina Meila, Annelise Wagner
, Christopher Meek:
Recursive inversion models for permutations. Stat. Comput. 32(4): 54 (2022) - [j17]Gonzalo A. Ramos, Napol Rachatasumrit, Jina Suh, Rachel Ng, Christopher Meek:
ForSense: Accelerating Online Research Through Sensemaking Integration and Machine Research Support. ACM Trans. Interact. Intell. Syst. 12(4): 30:1-30:23 (2022) - [c83]Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani:
Synchromesh: Reliable Code Generation from Pre-trained Language Models. ICLR 2022 - [i35]Gabriel Poesia, Oleksandr Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani:
Synchromesh: Reliable code generation from pre-trained language models. CoRR abs/2201.11227 (2022) - [i34]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao:
Learning from Self-Sampled Correct and Partially-Correct Programs. CoRR abs/2205.14318 (2022) - 2021
- [c82]Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah:
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing. ICLR 2021 - [c81]Napol Rachatasumrit, Gonzalo A. Ramos, Jina Suh, Rachel Ng, Christopher Meek:
ForSense: Accelerating Online Research Through Sensemaking Integration and Machine Research Support. IUI 2021: 608-618 - [c80]Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson:
Structure-Grounded Pretraining for Text-to-SQL. NAACL-HLT 2021: 1337-1350 - [c79]Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo A. Ramos, Ahmed Hassan Awadallah:
NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction. NAACL-HLT 2021: 5599-5610 - [c78]Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Ge Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao:
Few-Shot Learning Evaluation in Natural Language Understanding. NeurIPS Datasets and Benchmarks 2021 - [i33]Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo A. Ramos, Ahmed Hassan Awadallah:
NL-EDIT: Correcting semantic parse errors through natural language interaction. CoRR abs/2103.14540 (2021) - [i32]Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao:
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. CoRR abs/2111.02570 (2021) - 2020
- [j16]Gonzalo A. Ramos, Christopher Meek, Patrice Y. Simard, Jina Suh, Soroush Ghorashi:
Interactive machine teaching: a human-centered approach to building machine-learned models. Hum. Comput. Interact. 35(5-6): 413-451 (2020) - [c77]Nicole Sultanum, Soroush Ghorashi, Christopher Meek, Gonzalo A. Ramos:
A Teaching Language for Building Object Detection Models. Conference on Designing Interactive Systems 2020: 1223-1234 - [c76]Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic, Christopher Meek:
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. ACL 2020: 7652-7662 - [i31]Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson:
Structure-Grounded Pretraining for Text-to-SQL. CoRR abs/2010.12773 (2020)
2010 – 2019
- 2019
- [c75]Gonzalo A. Ramos, Jina Suh, Soroush Ghorashi, Christopher Meek, Richard Banks, Saleema Amershi, Rebecca Fiebrink, Alison Smith-Renner, Gagan Bansal:
Emerging Perspectives in Human-Centered Machine Learning. CHI Extended Abstracts 2019 - [i30]David Heckerman, Christopher Meek:
Embedded Bayesian Network Classifiers. CoRR abs/1910.09715 (2019) - 2017
- [c74]Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu:
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. WSDM 2017: 711-719 - [i29]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:
Machine Teaching: A New Paradigm for Building Machine Learning Systems. CoRR abs/1707.06742 (2017) - 2016
- [c73]Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh:
The Value of Semantic Parse Labeling for Knowledge Base Question Answering. ACL (2) 2016 - [c72]Asela Gunawardana, Christopher Meek:
Universal Models of Multivariate Temporal Point Processes. AISTATS 2016: 556-563 - [i28]Christopher Meek, Patrice Y. Simard, Xiaojin Zhu:
Analysis of a Design Pattern for Teaching with Features and Labels. CoRR abs/1611.05950 (2016) - [i27]Christopher Meek:
A Characterization of Prediction Errors. CoRR abs/1611.05955 (2016) - 2015
- [c71]Yi Yang, Wen-tau Yih, Christopher Meek:
WikiQA: A Challenge Dataset for Open-Domain Question Answering. EMNLP 2015: 2013-2018 - [c70]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:
The Activity Platform. HotOS 2015 - [c69]David Maxwell Chickering, Christopher Meek:
Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. UAI 2015: 211-219 - [i26]Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek, Nihar B. Shah:
Regularized Minimax Conditional Entropy for Crowdsourcing. CoRR abs/1503.07240 (2015) - [i25]David Maxwell Chickering, Christopher Meek:
Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations. CoRR abs/1506.02113 (2015) - 2014
- [j15]David Heckerman, Christopher Meek, Thomas S. Richardson:
Variations on undirected graphical models and their relationships. Kybernetika 50(3): 363-377 (2014) - [c68]Wen-tau Yih, Xiaodong He, Christopher Meek:
Semantic Parsing for Single-Relation Question Answering. ACL (2) 2014: 643-648 - [c67]Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek:
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction. EMNLP 2014: 1568-1579 - [c66]Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek:
Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy. ICML 2014: 262-270 - [c65]Christopher Meek, Marina Meila:
Recursive Inversion Models for Permutations. NIPS 2014: 631-639 - [c64]Christopher Meek:
Toward Learning Graphical and Causal Process Models. CI@UAI 2014: 43-48 - 2013
- [c63]Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak:
Question Answering Using Enhanced Lexical Semantic Models. ACL (1) 2013: 1744-1753 - [c62]Kai-Wei Chang, Wen-tau Yih, Christopher Meek:
Multi-Relational Latent Semantic Analysis. EMNLP 2013: 1602-1612 - [c61]Alisa Zhila, Wen-tau Yih, Christopher Meek, Geoffrey Zweig, Tomás Mikolov:
Combining Heterogeneous Models for Measuring Relational Similarity. HLT-NAACL 2013: 1000-1009 - [i24]David Maxwell Chickering, Christopher Meek:
Finding Optimal Bayesian Networks. CoRR abs/1301.0561 (2013) - [i23]Dan Geiger, Christopher Meek, Bernd Sturmfels:
Factorization of Discrete Probability Distributions. CoRR abs/1301.0568 (2013) - [i22]Carl Myers Kadie, Christopher Meek, David Heckerman:
CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence. CoRR abs/1301.0575 (2013) - [i21]Christopher Meek, Bo Thiesson, David Heckerman:
Staged Mixture Modelling and Boosting. CoRR abs/1301.0586 (2013) - [i20]Andrew Zimdars, David Maxwell Chickering, Christopher Meek:
Using Temporal Data for Making Recommendations. CoRR abs/1301.2320 (2013) - [i19]Ann Becker, Dan Geiger, Christopher Meek:
Perfect Tree-Like Markovian Distributions. CoRR abs/1301.3834 (2013) - [i18]David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie:
Dependency Networks for Collaborative Filtering and Data Visualization. CoRR abs/1301.3862 (2013) - [i17]Christopher Meek, Uffe Kjærulff:
Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003). CoRR abs/1301.4606 (2013) - [i16]Dan Geiger, Christopher Meek:
Quantifier Elimination for Statistical Problems. CoRR abs/1301.6698 (2013) - [i15]Dan Geiger, Christopher Meek:
Graphical Models and Exponential Families. CoRR abs/1301.7376 (2013) - [i14]Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman:
Learning Mixtures of DAG Models. CoRR abs/1301.7415 (2013) - [i13]David Maxwell Chickering, David Heckerman, Christopher Meek:
A Bayesian Approach to Learning Bayesian Networks with Local Structure. CoRR abs/1302.1528 (2013) - [i12]David Heckerman, Christopher Meek:
Models and Selection Criteria for Regression and Classification. CoRR abs/1302.1545 (2013) - [i11]Christopher Meek, David Heckerman:
Structure and Parameter Learning for Causal Independence and Causal Interaction Models. CoRR abs/1302.1561 (2013) - [i10]Dan Geiger, David Heckerman, Christopher Meek:
Asymptotic Model Selection for Directed Networks with Hidden Variables. CoRR abs/1302.3580 (2013) - [i9]Christopher Meek:
Causal Inference and Causal Explanation with Background Knowledge. CoRR abs/1302.4972 (2013) - [i8]Christopher Meek:
Strong Completeness and Faithfulness in Bayesian Networks. CoRR abs/1302.4973 (2013) - [i7]Peter Spirtes, Christopher Meek, Thomas S. Richardson:
Causal Inference in the Presence of Latent Variables and Selection Bias. CoRR abs/1302.4983 (2013) - 2012
- [c60]Geoffrey Zweig, John C. Platt, Christopher Meek, Christopher J. C. Burges, Ainur Yessenalina, Qiang Liu:
Computational Approaches to Sentence Completion. ACL (1) 2012: 601-610 - [c59]Ankur Parikh, Asela Gunawardana, Christopher Meek:
Conjoint Modeling of Temporal Dependencies in Event Streams. BMA 2012: 65-73 - [i6]Ydo Wexler, Christopher Meek:
Inference for Multiplicative Models. CoRR abs/1206.3296 (2012) - [i5]Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek:
ARMA Time-Series Modeling with Graphical Models. CoRR abs/1207.4162 (2012) - [i4]David Maxwell Chickering, Christopher Meek, David Heckerman:
Large-Sample Learning of Bayesian Networks is NP-Hard. CoRR abs/1212.2468 (2012) - [i3]Christopher Meek, David Maxwell Chickering:
Practically Perfect. CoRR abs/1212.2503 (2012) - 2011
- [j14]Guy Shani, Asela Gunawardana, Christopher Meek:
Unsupervised hierarchical probabilistic segmentation of discrete events. Intell. Data Anal. 15(4): 483-501 (2011) - [c58]Wen-tau Yih, Kristina Toutanova, John C. Platt, Christopher Meek:
Learning Discriminative Projections for Text Similarity Measures. CoNLL 2011: 247-256 - [c57]Darko Kirovski, Christopher Meek:
Tunneled TLS for multi-factor authentication. Digital Rights Management Workshop 2011: 31-40 - [c56]Asela Gunawardana, Christopher Meek, Puyang Xu:
A Model for Temporal Dependencies in Event Streams. NIPS 2011: 1962-1970 - [i2]Christopher Meek:
Finding a Path is Harder than Finding a Tree. CoRR abs/1106.1799 (2011) - [i1]Greg Linden, Christopher Meek, Max Chickering:
The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising. CoRR abs/1109.6263 (2011) - 2010
- [j13]Sivan Bercovici, Christopher Meek, Ydo Wexler, Dan Geiger:
Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping. Bioinform. 26(12): 175-182 (2010) - [c55]Asela Gunawardana, Tim Paek, Christopher Meek:
Usability guided key-target resizing for soft keyboards. IUI 2010: 111-118 - [c54]Jim C. Huang, Nebojsa Jojic, Christopher Meek:
Exact inference and learning for cumulative distribution functions on loopy graphs. NIPS 2010: 874-882
2000 – 2009
- 2009
- [j12]Dan Geiger, Christopher Meek, Ydo Wexler:
Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space. Bioinform. 25(12) (2009) - [c53]Guy Shani, Christopher Meek, Asela Gunawardana:
Hierarchical Probabilistic Segmentation of Discrete Events. ICDM 2009: 974-979 - [c52]Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson, Gina Danielle Venolia:
Searching large indexes on tiny devices: optimizing binary search with character pinning. IUI 2009: 257-266 - [c51]Guy Shani, Christopher Meek:
Improving Existing Fault Recovery Policies. NIPS 2009: 1642-1650 - [c50]Asela Gunawardana, Christopher Meek:
A unified approach to building hybrid recommender systems. RecSys 2009: 117-124 - [c49]Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei:
Markov Topic Models. AISTATS 2009: 583-590 - 2008
- [c48]Wen-tau Yih, Christopher Meek:
Consistent phrase relevance measures. AdKDD@KDD 2008: 37-44 - [c47]Ece Kamar, Eric Horvitz, Christopher Meek:
Mobile opportunistic commerce: mechanisms, architecture, and application. AAMAS (2) 2008: 1087-1094 - [c46]Ming-Wei Chang, Wen-tau Yih, Christopher Meek:
Partitioned logistic regression for spam filtering. KDD 2008: 97-105 - [c45]Ydo Wexler, Christopher Meek:
MAS: a multiplicative approximation scheme for probabilistic inference. NIPS 2008: 1761-1768 - [c44]Asela Gunawardana, Christopher Meek:
Tied boltzmann machines for cold start recommendations. RecSys 2008: 19-26 - [c43]Guy Shani, David Maxwell Chickering, Christopher Meek:
Mining recommendations from the web. RecSys 2008: 35-42 - [c42]Ydo Wexler, Christopher Meek:
Inference for Multiplicative Models. UAI 2008: 595-602 - 2007
- [c41]Hila Becker, Christopher Meek, David Maxwell Chickering:
Modeling Contextual Factors of Click Rates. AAAI 2007: 1310-1315 - [c40]Wen-tau Yih, Christopher Meek:
Improving Similarity Measures for Short Segments of Text. AAAI 2007: 1489-1494 - [c39]Donald Metzler, Susan T. Dumais, Christopher Meek:
Similarity Measures for Short Segments of Text. ECIR 2007: 16-27 - [c38]Tim Paek, Yun-Cheng Ju, Christopher Meek:
People watcher: a game for eliciting human-transcribed data for automated directory assistance. INTERSPEECH 2007: 1322-1325 - 2006
- [j11]David Maxwell Chickering, Christopher Meek:
On the incompatibility of faithfulness and monotone DAG faithfulness. Artif. Intell. 170(8-9): 653-666 (2006) - [j10]Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek:
Structural Periodic Measures for Time-Series Data. Data Min. Knowl. Discov. 12(1): 1-28 (2006) - [j9]Dan Geiger, Christopher Meek, Ydo Wexler:
A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints. J. Artif. Intell. Res. 27: 1-23 (2006) - [j8]Serkan Hosten, Christopher Meek:
Preface. J. Symb. Comput. 41(2): 123-124 (2006) - 2005
- [c37]Dan Geiger, Christopher Meek:
Structured Variational Inference Procedures and their Realizations. AISTATS 2005: 104-111 - [c36]Bo Thiesson, Christopher Meek:
Efficient Gradient Computation for Conditional Gaussian Models. AISTATS 2005: 341-348 - [c35]Daniel Lowd, Christopher Meek:
Good Word Attacks on Statistical Spam Filters. CEAS 2005 - [c34]Daniel Lowd, Christopher Meek:
Adversarial learning. KDD 2005: 641-647 - [c33]Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman:
Using epitomes to model genetic diversity: Rational design of HIV vaccines. NIPS 2005: 587-594 - 2004
- [j7]David Maxwell Chickering, David Heckerman, Christopher Meek:
Large-Sample Learning of Bayesian Networks is NP-Hard. J. Mach. Learn. Res. 5: 1287-1330 (2004) - [c32]Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman:
Efficient approximations for learning phylogenetic HMM models from data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 161-168 - [c31]Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos:
Identifying Similarities, Periodicities and Bursts for Online Search Queries. SIGMOD Conference 2004: 131-142 - [c30]Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek:
ARMA Time-Series Modeling with Graphical Models. UAI 2004: 552-560 - 2003
- [j6]Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White:
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Data Min. Knowl. Discov. 7(4): 399-424 (2003) - [c29]Bo Thiesson, Christopher Meek:
Discriminative Model Selection for Density Models. AISTATS 2003: 270-275 - [c28]David Maxwell Chickering, Christopher Meek, David Heckerman:
Large-Sample Learning of Bayesian Networks is NP-Hard. UAI 2003: 124-133 - [c27]Christopher Meek, David Maxwell Chickering:
Practically Perfect. UAI 2003: 411-416 - [e1]Christopher Meek, Uffe Kjærulff:
UAI '03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, Acapulco, Mexico, August 7-10 2003. Morgan Kaufmann 2003, ISBN 0-127-05664-5 [contents] - 2002
- [j5]Christopher Meek, Bo Thiesson, David Heckerman:
The Learning-Curve Sampling Method Applied to Model-Based Clustering. J. Mach. Learn. Res. 2: 397-418 (2002) - [c26]Christopher Meek, David Maxwell Chickering, David Heckerman:
Autoregressive Tree Models for Time-Series Analysis. SDM 2002: 229-244 - [c25]David Maxwell Chickering, Christopher Meek:
Finding Optimal Bayesian Networks. UAI 2002: 94-102 - [c24]Dan Geiger, Christopher Meek, Bernd Sturmfels:
Factorization of Discrete Probability Distributions. UAI 2002: 162-169 - [c23]Carl Myers Kadie, Christopher Meek, David Heckerman:
CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. UAI 2002: 242-250 - [c22]Christopher Meek, Bo Thiesson, David Heckerman:
Staged Mixture Modelling and Boosting. UAI 2002: 335-343 - 2001
- [j4]Christopher Meek:
Finding a Path is Harder than Finding a Tree. J. Artif. Intell. Res. 15: 383-389 (2001) - [j3]Bo Thiesson, Christopher Meek, David Heckerman:
Accelerating EM for Large Databases. Mach. Learn. 45(3): 279-299 (2001) - [c21]Christopher Meek:
Finding a path is harder than finding a tree. AISTATS 2001: 192-195 - [c20]Christopher Meek, Bo Thiesson, David Heckerman:
The Learning Curve Method Applied to Clustering. AISTATS 2001: 196-202 - [c19]David Maxwell Chickering, Christopher Meek, Robert Rounthwaite:
Efficient Determination of Dynamic Split Points in a Decision Tree. ICDM 2001: 91-98 - [c18]Andrew Zimdars, David Maxwell Chickering, Christopher Meek:
Using Temporal Data for Making Recommendations. UAI 2001: 580-588 - 2000
- [j2]David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie:
Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. J. Mach. Learn. Res. 1: 49-75 (2000) - [c17]Jake D. Brutlag, Christopher Meek:
Challenges of the Email Domain for Text Classification. ICML 2000: 103-110 - [c16]