Tom Minka

According to our database, Tom Minka authored at least 44 papers between 1995 and 2023.

Collaborative distances:

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

2023

Understanding Causality with Large Language Models: Feasibility and Opportunities.

Cheng Zhang, Stefan Bauer, Paul Bennett, Jiangfeng Gao, Wenbo Gong, Agrin Hilmkil, Joel Jennings, Chao Ma, Tom Minka, Nick Pawlowski, James Vaughan

CoRR, 2023

2021

Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities.

John M. Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Mishkov, Alex Spengler, Denise J. Wilkins, Siân E. Lindley, Richard Banks, Sam Webster, Yordan Zaykov

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2014

A* Sampling.

Chris J. Maddison, Daniel Tarlow, Tom Minka

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

2012

You are facing the Mona Lisa: spot localization using PHY layer information.

Souvik Sen, Bozidar Radunovic, Romit Roy Choudhury, Tom Minka

Proceedings of the 10th International Conference on Mobile Systems, 2012

How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing.

Yoram Bachrach, Thore Graepel, Tom Minka, John Guiver

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Non-conjugate Variational Message Passing for Multinomial and Binary Regression.

David A. Knowles, Tom Minka

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

Precise indoor localization using PHY information.

Souvik Sen, Bozidar Radunovic, Romit Roy Choudhury, Tom Minka

Proceedings of the 9th International Conference on Mobile Systems, 2011

Precise indoor localization using PHY layer information.

Souvik Sen, Romit Roy Choudhury, Bozidar Radunovic, Tom Minka

Proceedings of the Tenth ACM Workshop on Hot Topics in Networks (HotNets-X), 2011

2010

A novel click model and its applications to online advertising.

Zeyuan Allen Zhu, Weizhu Chen, Tom Minka, Chenguang Zhu, Zheng Chen

Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Sparse-posterior Gaussian Processes for general likelihoods.

Yuan (Alan) Qi, Ahmed H. Abdel-Gawad, Thomas P. Minka

Proceedings of the UAI 2010, 2010

2009

Variable sigma Gaussian processes: An expectation propagation perspective

Yuan (Alan) Qi, Ahmed H. Abdel-Gawad, Thomas P. Minka

CoRR, 2009

Click chain model in web search.

Fan Guo, Chao Liu, Anitha Kannan, Tom Minka, Michael J. Taylor, Yi Min Wang, Christos Faloutsos

Proceedings of the 18th International Conference on World Wide Web, 2009

Virtual Vector Machine for Bayesian Online Classification.

Thomas P. Minka, Rongjing Xiang, Yuan (Alan) Qi

Proceedings of the UAI 2009, 2009

2008

SoftRank: optimizing non-smooth rank metrics.

Michael J. Taylor, John Guiver, Stephen Robertson, Tom Minka

Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Gates.

Tom Minka, John M. Winn

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

Bayesian color constancy revisited.

Peter V. Gehler, Carsten Rother, Andrew Blake, Thomas P. Minka, Toby Sharp

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Window-based expectation propagation for adaptive signal detection in flat-fading channels.

Yuan (Alan) Qi, Thomas P. Minka

IEEE Trans. Wirel. Commun., 2007

TrueSkill Through Time: Revisiting the History of Chess.

Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thore Graepel

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

TrueSkill^TM: A Bayesian Skill Rating System.

Ralf Herbrich, Tom Minka, Thore Graepel

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs.

Carsten Rother, Thomas P. Minka, Andrew Blake, Vladimir Kolmogorov

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Principled Hybrids of Generative and Discriminative Models.

Julia A. Lasserre, Christopher M. Bishop, Thomas P. Minka

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Structured Region Graphs: Morphing EP into GBP.

Max Welling, Thomas P. Minka, Yee Whye Teh

Proceedings of the UAI '05, 2005

Object Categorization by Learned Universal Visual Dictionary.

John M. Winn, Antonio Criminisi, Thomas P. Minka

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Diagram Structure Recognition by Bayesian Conditional Random Fields.

Yuan (Alan) Qi, Martin Szummer, Thomas P. Minka

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Bayesian Conditional Random Fields.

Yuan (Alan) Qi, Martin Szummer, Tom Minka

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

2004

Predictive automatic relevance determination by expectation propagation.

Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard, Zoubin Ghahramani

Proceedings of the Machine Learning, 2004

2003

Bayesian Color Constancy with Non-Gaussian Models.

Charles R. Rosenberg, Thomas P. Minka, Alok Ladsariya

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Tree-structured Approximations by Expectation Propagation.

Thomas P. Minka, Yuan (Alan) Qi

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Expectation-Propogation for the Generative Aspect Model.

Thomas P. Minka, John D. Lafferty

Proceedings of the UAI '02, 2002

Novelty and redundancy detection in adaptive filtering.

Yi Zhang, James P. Callan, Thomas P. Minka

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Bayesian spectrum estimation of unevenly sampled nonstationary data.

Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

A family of algorithms for approximate Bayesian inference.

Thomas P. Minka

PhD thesis, 2001

Psychophysical experiments on the PicHunter image retrieval system.

Thomas V. Papathomas, Ingemar J. Cox, Peter N. Yianilos, Matthew L. Miller, Thomas P. Minka, Tiffany E. Conway, Joumana Ghosn

J. Electronic Imaging, 2001

Expectation Propagation for approximate Bayesian inference.

Thomas P. Minka

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

Document Image Decoding Using Iterated Complete Path Search with Subsampled Heuristic Scoring.

Dan S. Bloomberg, Kris Popat, Thomas P. Minka

Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Document image decoding using iterated complete path search.

Thomas P. Minka, Dan S. Bloomberg, Kris Popat

Proceedings of the Document Recognition and Retrieval VIII, 2001

2000

Correction to "the Bayesian image retrieval system, pichunter: theory, implementation, and psychophysical experiments".

Ingemar J. Cox, Matthew L. Miller, Thomas P. Minka, Thomas V. Papathomas, Peter N. Yianilos

IEEE Trans. Image Process., 2000

The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments.

Ingemar J. Cox, Matthew L. Miller, Thomas P. Minka, Thomas V. Papathomas, Peter N. Yianilos

IEEE Trans. Image Process., 2000

Automatic Choice of Dimensionality for PCA.

Thomas P. Minka

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1998

Psychophysical studies of the performance of an image database retrieval system.

Thomas V. Papathomas, Tiffany E. Conway, Ingemar J. Cox, Joumana Ghosn, Matthew L. Miller, Thomas P. Minka, Peter N. Yianilos

Proceedings of the Human Vision and Electronic Imaging III, 1998

An Optimized Interaction Strategy for Bayesian Relevance Feedback.

Ingemar J. Cox, Matthew L. Miller, Thomas P. Minka, Peter N. Yianilos

Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997

Interactive learning with a "society of models".

Thomas P. Minka, Rosalind W. Picard

Pattern Recognit., 1997

1996

Modeling user subjectivity in image libraries.

Rosalind W. Picard, Thomas P. Minka, Martin Szummer

Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995

Vision Texture for Annotation.

Rosalind W. Picard, Thomas P. Minka

Multim. Syst., 1995