Tom Minka

Senior Principal Researcher

Papiers de Collaboration

Afficher par:

- Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities
  
  John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov
  
  Automated Knowledge Base Construction | October 2021
  
  PDF Projet
- TrueSkill 2: An improved Bayesian skill rating system
  
  Tom Minka, Ryan Cleven, Yordan Zaykov
  
  MSR-TR-2018-8 | March 2018
  
  Publié par Microsoft
  
  Publication Publication Projet Projet
- Belief Propagation with Strings
  
  Boris Yangel, Tom Minka, John Winn
  
  MSR-TR-2017-11 | February 2017
  
  Publication Vidéo Projet
- Inference Algorithms for Probabilistic Graphical Models Video Lecture
  
  Tom Minka
  
  December 2015
  
  Publication
- GroupBox: A Generative Model for Group Recommendation
  
  Cheng Zhang, John Guiver, Tom Minka, Yordan Zaykov
  
  MSR-TR-2015-61 | July 2015
  
  Publication
- Elastic Distributed Bayesian Collaborative Filtering
  
  Alex Beutel, Markus Weimer, Tom Minka, Yordan Zaykov, Vijay Narayanan
  
  January 2014
  
  Publication Projet
- Knowing what we don’t know in NCAA Football ratings: Understanding and using structured uncertainty
  
  Daniel Tarlow, Thore Graepel, Tom Minka
  
  MIT Sloan Sports Analytics Conference | January 2014
  
  Publication Projet Projet
- Detecting Parameter Symmetries in Probabilistic Models
  
  Robert Nishihara, Daniel Tarlow, Tom Minka
  
  arXiv preprint arXiv:1312.5386 | December 2013
  
  Publication
- Spot Localization Using PHY Layer Information
  
  Souvik Sen, Bozidar Radunovic, Romit Roy Choudhury, Tom Minka
  
  In proceedings of ACM Mobisys | June 2012
  
  Publication
- How To Grade a Test Without Knowing the Answers – A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
  
  Yoram Bachrach, Tom Minka, John Guiver, Thore Graepel
  
  29th International Conference on Machine Learning, Edinburgh, Scotland, UK | January 2012
  
  Publication Projet
- Precise Indoor Localization using PHY Layer Information
  
  Souvik Sen, Bozidar Radunovic, Romit Roy Choudhury, Tom Minka
  
  ACM Hotnets | November 2011
  
  Publication
- Non-conjugate Variational Message Passing for Multinomial and Binary Regression
  
  David A. Knowles, Tom Minka
  
  Advances in Neural Information Processing Systems 24 | October 2011
  
  Publication Publication Projet
- Sparse-posterior Gaussian Processes for general likelihoods
  
  Yuan Qi, Ahmed H. Abdel-Gawad, Tom Minka
  
  Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010) | July 2010
  
  Publication
- 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 ACM International Conference on Web Search and Data Mining (WSDM 2010) | February 2010
  
  Publication Publication Projet
- Approximate Inference Video Lecture Series
  
  Tom Minka
  
  November 2009
  
  Machine Learning Summer School 2009
  
  Publication
- Probabilistic Programming with Infer.NET
  
  John Winn, Tom Minka
  
  September 2009
  
  Publication Projet
- Automating Variational Inference for Statistics and Data Mining
  
  Tom Minka
  
  August 2009
  
  Invited talk at the 74th Annual Meeting of the Psychometric Society (IMPS 2009)
  
  Publication
- Click Chain Model in Web Search
  
  Fan Guo, Chao Liu, Anitha Kannan, Tom Minka, Mike Taylor, Yi-Min Wang, Christos Faloutsos
  
  WWW'09: Proceedings of the 18th International World Wide Web Conference | April 2009
  
  Publication Publication
- Virtual Vector Machine for Bayesian Online Classification
  
  Tom Minka, Rongjing Xiang, Yuan (Alan) Qi
  
  UAI-P-2009-PG-411-418 | April 2009
  
  Symposium on Advances in Digital Filtering and Signal Processing
  
  Publication
- Gates
  
  Tom Minka, John Winn
  
  Advances in Neural Information Processing Systems 21 | January 2009
  
  Advances in Neural Information Processing Systems 21
  
  Publication
- Gates: A Graphical Notation for Mixture Models
  
  Tom Minka, John Winn
  
  MSR-TR-2008-185 | December 2008
  
  Publication
- Selection Bias in the LETOR Datasets
  
  Tom Minka
  
  August 2008
  
  Publication
- SoftRank: Optimising Non-Smooth Rank Metrics
  
  Mike Taylor, John Guiver, Stephen Robertson, Tom Minka
  
  WSDM 2008 | February 2008
  
  Publication
- Bayesian Color Constancy Revisited
  
  Peter Vincent Gehler, Carsten Rother, Andrew Blake, Tom Minka, Toby Sharp
  
  CVPR | January 2008
  
  Publication
- TrueSkill Through Time: Revisiting the History of Chess
  
  Ralf Herbrich, Tom Minka, Thore Graepel
  
  Advances in Neural Information Processing Systems 20 | January 2008
  
  Publication Projet
- The EP Energy Function and Minimization Schemes
  
  Tom Minka
  
  August 2007
  
  Publication
- The Smoothed-Dirichlet Distribution: A New Building Block for Generative Topic Models
  
  Ramesh Nallapati, Tom Minka, Stephen Robertson
  
  April 2007
  
  Publication
- Bayesian Inference in Dynamic Models
  
  Tom Minka
  
  March 2007
  
  Publication
- TrueSkill(TM): A Bayesian Skill Rating System
  
  Ralf Herbrich, Tom Minka, Thore Graepel
  
  Advances in Neural Information Processing Systems 20 | January 2007
  
  Publication Projet
- Window-Based Expectation Propagation for Adaptive Signal Detection in Flat-Fading Channels
  
  Yuan Qi, Tom Minka
  
  IEEE Transactions on Wireless Communications | January 2007
  
  Publication
- Local Training and Belief Propagation
  
  Charles Sutton, Tom Minka
  
  MSR-TR-2006-121 | August 2006
  
  Publication
- Principled Hybrids of Generative and Discriminative Models
  
  Julia A. Lasserre, Christopher Bishop, Tom Minka
  
  IEEE Conference on Computer Vision and Pattern Recognition | June 2006
  
  Publication
- Cosegmenting Image Pairs by Matching Global Histograms
  
  Carsten Rother, Vladimir Kolmogorov, Tom Minka, Andrew Blake
  
  Proc. IEEE Computer Vision and Pattern Recognition (CVPR) | June 2006
  
  Publication Publication
- Discriminative models, not discriminative training
  
  Tom Minka
  
  MSR-TR-2005-144 | October 2005
  
  Publication
- Object Categorization by Learned Universal Visual Dictionary
  
  John Winn, Antonio Criminisi, Tom Minka
  
  August 2005
  
  Publication
- Diagram Structure Recognition by Bayesian Conditional Random Fields
  
  Yuan Qi, Martin Szummer, Tom Minka
  
  Proceedings of Computer Vision Pattern Recognition (CVPR) | June 2005
  
  Publication
- A Useful Distribution for Fitting Discrete Data: Revival of the Conway-Maxwell-Poisson Distribution
  
  Galit Shmueli, Tom Minka, Joseph B. Kadane, Sharad Borle, Peter Boatwright
  
  Journal of the Royal Statistical Society: Series C (Applied Statistics) | January 2005, Vol 54(1): pp. 127-142
  
  Publication
- Bayesian Conditional Random Fields
  
  Yuan Qi, Martin Szummer, Tom Minka
  
  Journal of Machine Learning Research (JMLR), AI & Statistics | January 2005, pp. 269-276
  
  Publication
- Divergence Measures and Message Passing
  
  Tom Minka
  
  MSR-TR-2005-173 | January 2005
  
  Publication
- Object Categorization by Learned Universal Visual Dictionary
  
  John Winn, Antonio Criminisi, Tom Minka
  
  Proceedings IEEE Intl. Conf. on Computer Vision (ICCV). | January 2005
  
  Publication Projet
- Structured Region Graphs: Morphing EP into GBP
  
  Max Welling, Tom Minka, Yee Whye Teh
  
  UAI | January 2005
  
  Publication
- A Roadmap to Research on EP
  
  Tom Minka
  
  August 2004
  
  Publication
- Exemplar-based Likelihoods Using the PDF Projection Theorem
  
  Tom Minka
  
  MSR-TR-2004-148 | January 2004
  
  Publication
- Expectation Propagation for Infinite Mixtures
  
  Tom Minka, Zoubin Ghahramani
  
  NIPS 2003 | January 2004
  
  Publication
- Power EP
  
  Tom Minka
  
  MSR-TR-2004-149 | January 2004
  
  Publication
- Predictive Automatic Relevance Determination by Expectation Propagation
  
  Yuan (Alan) Qi, Tom Minka, Rosalind W. Picard, Zoubin Ghahramani
  
  ICML | January 2004
  
  Publication Publication
- The ‘Summation Hack’ as an Outlier Model
  
  Tom Minka
  
  August 2003
  
  Publication
- Computing with the COM-Poisson Distribution
  
  Tom Minka, Galit Shmueli, Joseph B. Kadane, Sharad Borle, Peter Boatwright
  
  June 2003
  
  Publication
- Building Statistical Models by Visualization
  
  Tom Minka
  
  May 2003
  
  Publication
- Tree-structured Approximations by Expectation Propagation
  
  Tom Minka, Yuan Qi
  
  NIPS 2003 | April 2003
  
  Publication
- A Comparison of Numerical Optimizers for Logistic Regression
  
  Tom Minka
  
  March 2003
  
  Publication
- Bayesian Inference, Entropy, and the Multinomial Distribution
  
  Tom Minka
  
  January 2003
  
  Publication
- Bayesian Color Constancy with Non-Gaussian Models
  
  Charles Rosenberg, Tom Minka, Alok Ladsariya
  
  NIPS2003 | January 2003
  
  Publication
- Judging Significance from Error Bars
  
  Tom Minka
  
  November 2002
  
  Publication
- Expectation Propagation for Signal Detection in Flat-fading Channels
  
  Yuan Qi, Tom Minka
  
  November 2002
  
  Publication
- Bayesian Spectrum Estimation of Unevenly Sampled Nonstationary Data
  
  Yuan Qi, Tom Minka, Rosalind W. Picard
  
  October 2002
  
  Publication
- Hessian-based Markov Chain Monte-Carlo Algorithms
  
  Yuan Qi, Tom Minka
  
  September 2002
  
  Publication
- Estimating a Gamma Distribution
  
  Tom Minka
  
  April 2002
  
  Publication
- Expectation-Propagation for the Generative Aspect Model
  
  Tom Minka, John Lafferty
  
  Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence | March 2002
  
  Publication
- Using Lower Bounds to Approximate Integrals
  
  Tom Minka
  
  August 2001
  
  Publication
- Expectation Propagation for Approximate Bayesian Inference
  
  Tom Minka
  
  April 2001
  
  April 2001
  
  Publication
- Bayesian Inference of a Uniform Distribution
  
  Tom Minka
  
  January 2001
  
  Publication
- Pathologies of Orthodox Statistics
  
  Tom Minka
  
  November 2001
  
  Publication
- Bayesian Model Selection
  
  Tom Minka
  
  September 2000
  
  Publication
- Estimating a Dirichlet Distribution
  
  Tom Minka
  
  September 2000
  
  Publication
- Distance Measures as Prior Probabilities
  
  Tom Minka
  
  September 2000
  
  Publication
- Empirical Risk Minimization is an Incomplete Inductive Principle
  
  Tom Minka
  
  August 2000
  
  Publication
- Bayesian Linear Regression
  
  Tom Minka
  
  July 2000
  
  Publication
- Bayesian Model Averaging is not Model Combination
  
  Tom Minka
  
  July 2000
  
  Publication
- Deriving Quadrature Rules from Gaussian Processes
  
  Tom Minka
  
  June 2000
  
  Publication
- Beyond Newton’s Method
  
  Tom Minka
  
  April 2000
  
  Publication
- Automatic Choice of Dimensionality for PCA
  
  Tom Minka
  
  MIT-MED-514 | January 2000
  
  Publication
- Expectation-Maximization as Lower Bound Maximization
  
  Tom Minka
  
  November 1999
  
  Publication
- Linear Regression with Errors in Both Variables: A Proper Bayesian Approach
  
  Tom Minka
  
  October 1999
  
  Publication
- From Hidden Markov Models to Linear Dynamical Systems
  
  Tom Minka
  
  July 1999
  
  Publication
- Learning How to Learn is Learning With Point Sets
  
  Tom Minka, Rosalind W. Picard
  
  July 1999
  
  Publication
- The Dirichlet-tree Distribution
  
  Tom Minka
  
  July 1999
  
  Publication
- Independence Diagrams
  
  Tom Minka
  
  August 1998
  
  Publication
- Inferring a Gaussian Distribution
  
  Tom Minka
  
  August 1998
  
  Publication
- Nuances of Probability Theory
  
  Tom Minka
  
  July 1998
  
  Publication
- Old and New Matrix Algebra Useful for Statistics
  
  Tom Minka
  
  September 1997
  
  Publication
- Interactive Learning Using a “Society of Models”
  
  Tom Minka, Rosalind W. Picard
  
  TR-349-ABSTRACT | May 1997
  
  Best Paper Award
  
  Publication
- Modeling User Subjectivity In Image Libraries
  
  Rosalind W. Picard, Tom Minka, Martin Szummer
  
  IEEE Intl. Conf. on Image Processing (ICIP) | September 1996
  
  Publication
- An Image Database Browser that Learns from User Interaction
  
  Tom Minka
  
  January 1996
  
  January 1996
  
  Publication
- Modeling User Subjectivity in Image Libraries
  
  Tom Minka
  
  IEEE International Conference on Image Processing (ICIP 96), Lausanne, Switzerland | September 1995
  
  Publication
- Vision Texture for Annotation
  
  Rosalind W. Picard, Tom Minka
  
  April 1995
  
  Publication

- Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities
  
  John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov
  
  Automated Knowledge Base Construction | October 2021
  
  PDF Projet
- TrueSkill 2: An improved Bayesian skill rating system
  
  Tom Minka, Ryan Cleven, Yordan Zaykov
  
  MSR-TR-2018-8 | March 2018
  
  Publié par Microsoft
  
  Publication Publication Projet Projet
- Belief Propagation with Strings
  
  Boris Yangel, Tom Minka, John Winn
  
  MSR-TR-2017-11 | February 2017
  
  Publication Vidéo Projet
- GroupBox: A Generative Model for Group Recommendation
  
  Cheng Zhang, John Guiver, Tom Minka, Yordan Zaykov
  
  MSR-TR-2015-61 | July 2015
  
  Publication
- Elastic Distributed Bayesian Collaborative Filtering
  
  Alex Beutel, Markus Weimer, Tom Minka, Yordan Zaykov, Vijay Narayanan
  
  January 2014
  
  Publication Projet
- Knowing what we don’t know in NCAA Football ratings: Understanding and using structured uncertainty
  
  Daniel Tarlow, Thore Graepel, Tom Minka
  
  MIT Sloan Sports Analytics Conference | January 2014
  
  Publication Projet Projet
- How To Grade a Test Without Knowing the Answers – A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
  
  Yoram Bachrach, Tom Minka, John Guiver, Thore Graepel
  
  29th International Conference on Machine Learning, Edinburgh, Scotland, UK | January 2012
  
  Publication Projet
- Sparse-posterior Gaussian Processes for general likelihoods
  
  Yuan Qi, Ahmed H. Abdel-Gawad, Tom Minka
  
  Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010) | July 2010
  
  Publication
- 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 ACM International Conference on Web Search and Data Mining (WSDM 2010) | February 2010
  
  Publication Publication Projet
- Virtual Vector Machine for Bayesian Online Classification
  
  Tom Minka, Rongjing Xiang, Yuan (Alan) Qi
  
  UAI-P-2009-PG-411-418 | April 2009
  
  Symposium on Advances in Digital Filtering and Signal Processing
  
  Publication
- Click Chain Model in Web Search
  
  Fan Guo, Chao Liu, Anitha Kannan, Tom Minka, Mike Taylor, Yi-Min Wang, Christos Faloutsos
  
  WWW'09: Proceedings of the 18th International World Wide Web Conference | April 2009
  
  Publication Publication
- Gates
  
  Tom Minka, John Winn
  
  Advances in Neural Information Processing Systems 21 | January 2009
  
  Advances in Neural Information Processing Systems 21
  
  Publication
- Gates: A Graphical Notation for Mixture Models
  
  Tom Minka, John Winn
  
  MSR-TR-2008-185 | December 2008
  
  Publication
- Bayesian Color Constancy Revisited
  
  Peter Vincent Gehler, Carsten Rother, Andrew Blake, Tom Minka, Toby Sharp
  
  CVPR | January 2008
  
  Publication
- TrueSkill Through Time: Revisiting the History of Chess
  
  Ralf Herbrich, Tom Minka, Thore Graepel
  
  Advances in Neural Information Processing Systems 20 | January 2008
  
  Publication Projet
- Window-Based Expectation Propagation for Adaptive Signal Detection in Flat-Fading Channels
  
  Yuan Qi, Tom Minka
  
  IEEE Transactions on Wireless Communications | January 2007
  
  Publication
- TrueSkill(TM): A Bayesian Skill Rating System
  
  Ralf Herbrich, Tom Minka, Thore Graepel
  
  Advances in Neural Information Processing Systems 20 | January 2007
  
  Publication Projet
- Principled Hybrids of Generative and Discriminative Models
  
  Julia A. Lasserre, Christopher Bishop, Tom Minka
  
  IEEE Conference on Computer Vision and Pattern Recognition | June 2006
  
  Publication
- Cosegmenting Image Pairs by Matching Global Histograms
  
  Carsten Rother, Vladimir Kolmogorov, Tom Minka, Andrew Blake
  
  Proc. IEEE Computer Vision and Pattern Recognition (CVPR) | June 2006
  
  Publication Publication
- Discriminative models, not discriminative training
  
  Tom Minka
  
  MSR-TR-2005-144 | October 2005
  
  Publication
- Object Categorization by Learned Universal Visual Dictionary
  
  John Winn, Antonio Criminisi, Tom Minka
  
  Proceedings IEEE Intl. Conf. on Computer Vision (ICCV). | January 2005
  
  Publication Projet
- Bayesian Conditional Random Fields
  
  Yuan Qi, Martin Szummer, Tom Minka
  
  Journal of Machine Learning Research (JMLR), AI & Statistics | January 2005, pp. 269-276
  
  Publication
- A Roadmap to Research on EP
  
  Tom Minka
  
  August 2004
  
  Publication
- Predictive Automatic Relevance Determination by Expectation Propagation
  
  Yuan (Alan) Qi, Tom Minka, Rosalind W. Picard, Zoubin Ghahramani
  
  ICML | January 2004
  
  Publication Publication
- Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities
  
  John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov
  
  Automated Knowledge Base Construction | October 2021
  
  PDF Projet
- Using Lower Bounds to Approximate Integrals
  
  Tom Minka
  
  August 2001
  
  Publication
- Expectation Propagation for Approximate Bayesian Inference
  
  Tom Minka
  
  April 2001
  
  April 2001
  
  Publication
- Bayesian Inference of a Uniform Distribution
  
  Tom Minka
  
  January 2001
  
  Publication
- Bayesian Model Selection
  
  Tom Minka
  
  September 2000
  
  Publication
- Estimating a Dirichlet Distribution
  
  Tom Minka
  
  September 2000
  
  Publication
- Distance Measures as Prior Probabilities
  
  Tom Minka
  
  September 2000
  
  Publication
- Empirical Risk Minimization is an Incomplete Inductive Principle
  
  Tom Minka
  
  August 2000
  
  Publication
- Bayesian Linear Regression
  
  Tom Minka
  
  July 2000
  
  Publication
- Bayesian Model Averaging is not Model Combination
  
  Tom Minka
  
  July 2000
  
  Publication
- Deriving Quadrature Rules from Gaussian Processes
  
  Tom Minka
  
  June 2000
  
  Publication
- Beyond Newton’s Method
  
  Tom Minka
  
  April 2000
  
  Publication
- Automatic Choice of Dimensionality for PCA
  
  Tom Minka
  
  MIT-MED-514 | January 2000
  
  Publication
- Expectation-Maximization as Lower Bound Maximization
  
  Tom Minka
  
  November 1999
  
  Publication
- Linear Regression with Errors in Both Variables: A Proper Bayesian Approach
  
  Tom Minka
  
  October 1999
  
  Publication
- From Hidden Markov Models to Linear Dynamical Systems
  
  Tom Minka
  
  July 1999
  
  Publication
- The Dirichlet-tree Distribution
  
  Tom Minka
  
  July 1999
  
  Publication
- Learning How to Learn is Learning With Point Sets
  
  Tom Minka, Rosalind W. Picard
  
  July 1999
  
  Publication
- Independence Diagrams
  
  Tom Minka
  
  August 1998
  
  Publication
- Inferring a Gaussian Distribution
  
  Tom Minka
  
  August 1998
  
  Publication
- Nuances of Probability Theory
  
  Tom Minka
  
  July 1998
  
  Publication
- Old and New Matrix Algebra Useful for Statistics
  
  Tom Minka
  
  September 1997
  
  Publication
- An Image Database Browser that Learns from User Interaction
  
  Tom Minka
  
  January 1996
  
  January 1996
  
  Publication
- Inference Algorithms for Probabilistic Graphical Models Video Lecture
  
  Tom Minka
  
  December 2015
  
  Publication
- Detecting Parameter Symmetries in Probabilistic Models
  
  Robert Nishihara, Daniel Tarlow, Tom Minka
  
  arXiv preprint arXiv:1312.5386 | December 2013
  
  Publication
- Non-conjugate Variational Message Passing for Multinomial and Binary Regression
  
  David A. Knowles, Tom Minka
  
  Advances in Neural Information Processing Systems 24 | October 2011
  
  Publication Publication Projet
- Approximate Inference Video Lecture Series
  
  Tom Minka
  
  November 2009
  
  Machine Learning Summer School 2009
  
  Publication
- Probabilistic Programming with Infer.NET
  
  John Winn, Tom Minka
  
  September 2009
  
  Publication Projet
- Automating Variational Inference for Statistics and Data Mining
  
  Tom Minka
  
  August 2009
  
  Invited talk at the 74th Annual Meeting of the Psychometric Society (IMPS 2009)
  
  Publication
- SoftRank: Optimising Non-Smooth Rank Metrics
  
  Mike Taylor, John Guiver, Stephen Robertson, Tom Minka
  
  WSDM 2008 | February 2008
  
  Publication
- The EP Energy Function and Minimization Schemes
  
  Tom Minka
  
  August 2007
  
  Publication
- Bayesian Inference in Dynamic Models
  
  Tom Minka
  
  March 2007
  
  Publication
- Local Training and Belief Propagation
  
  Charles Sutton, Tom Minka
  
  MSR-TR-2006-121 | August 2006
  
  Publication
- A Useful Distribution for Fitting Discrete Data: Revival of the Conway-Maxwell-Poisson Distribution
  
  Galit Shmueli, Tom Minka, Joseph B. Kadane, Sharad Borle, Peter Boatwright
  
  Journal of the Royal Statistical Society: Series C (Applied Statistics) | January 2005, Vol 54(1): pp. 127-142
  
  Publication
- Structured Region Graphs: Morphing EP into GBP
  
  Max Welling, Tom Minka, Yee Whye Teh
  
  UAI | January 2005
  
  Publication
- Expectation Propagation for Infinite Mixtures
  
  Tom Minka, Zoubin Ghahramani
  
  NIPS 2003 | January 2004
  
  Publication
- Exemplar-based Likelihoods Using the PDF Projection Theorem
  
  Tom Minka
  
  MSR-TR-2004-148 | January 2004
  
  Publication
- The ‘Summation Hack’ as an Outlier Model
  
  Tom Minka
  
  August 2003
  
  Publication
- Computing with the COM-Poisson Distribution
  
  Tom Minka, Galit Shmueli, Joseph B. Kadane, Sharad Borle, Peter Boatwright
  
  June 2003
  
  Publication
- Building Statistical Models by Visualization
  
  Tom Minka
  
  May 2003
  
  Publication
- Tree-structured Approximations by Expectation Propagation
  
  Tom Minka, Yuan Qi
  
  NIPS 2003 | April 2003
  
  Publication
- A Comparison of Numerical Optimizers for Logistic Regression
  
  Tom Minka
  
  March 2003
  
  Publication
- Bayesian Inference, Entropy, and the Multinomial Distribution
  
  Tom Minka
  
  January 2003
  
  Publication
- Judging Significance from Error Bars
  
  Tom Minka
  
  November 2002
  
  Publication
- Expectation Propagation for Signal Detection in Flat-fading Channels
  
  Yuan Qi, Tom Minka
  
  November 2002
  
  Publication
- Bayesian Spectrum Estimation of Unevenly Sampled Nonstationary Data
  
  Yuan Qi, Tom Minka, Rosalind W. Picard
  
  October 2002
  
  Publication
- Hessian-based Markov Chain Monte-Carlo Algorithms
  
  Yuan Qi, Tom Minka
  
  September 2002
  
  Publication
- Estimating a Gamma Distribution
  
  Tom Minka
  
  April 2002
  
  Publication
- Expectation-Propagation for the Generative Aspect Model
  
  Tom Minka, John Lafferty
  
  Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence | March 2002
  
  Publication
- Pathologies of Orthodox Statistics
  
  Tom Minka
  
  November 2001
  
  Publication
- 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 ACM International Conference on Web Search and Data Mining (WSDM 2010) | February 2010
  
  Publication Publication Projet
- Click Chain Model in Web Search
  
  Fan Guo, Chao Liu, Anitha Kannan, Tom Minka, Mike Taylor, Yi-Min Wang, Christos Faloutsos
  
  WWW'09: Proceedings of the 18th International World Wide Web Conference | April 2009
  
  Publication Publication
- Selection Bias in the LETOR Datasets
  
  Tom Minka
  
  August 2008
  
  Publication
- The Smoothed-Dirichlet Distribution: A New Building Block for Generative Topic Models
  
  Ramesh Nallapati, Tom Minka, Stephen Robertson
  
  April 2007
  
  Publication
- Interactive Learning Using a “Society of Models”
  
  Tom Minka, Rosalind W. Picard
  
  TR-349-ABSTRACT | May 1997
  
  Best Paper Award
  
  Publication
- Modeling User Subjectivity in Image Libraries
  
  Tom Minka
  
  IEEE International Conference on Image Processing (ICIP 96), Lausanne, Switzerland | September 1995
  
  Publication
- Vision Texture for Annotation
  
  Rosalind W. Picard, Tom Minka
  
  April 1995
  
  Publication
- Detecting Parameter Symmetries in Probabilistic Models
  
  Robert Nishihara, Daniel Tarlow, Tom Minka
  
  arXiv preprint arXiv:1312.5386 | December 2013
  
  Publication
- Bayesian Color Constancy Revisited
  
  Peter Vincent Gehler, Carsten Rother, Andrew Blake, Tom Minka, Toby Sharp
  
  CVPR | January 2008
  
  Publication
- Object Categorization by Learned Universal Visual Dictionary
  
  John Winn, Antonio Criminisi, Tom Minka
  
  August 2005
  
  Publication
- Bayesian Color Constancy with Non-Gaussian Models
  
  Charles Rosenberg, Tom Minka, Alok Ladsariya
  
  NIPS2003 | January 2003
  
  Publication
- Spot Localization Using PHY Layer Information
  
  Souvik Sen, Bozidar Radunovic, Romit Roy Choudhury, Tom Minka
  
  In proceedings of ACM Mobisys | June 2012
  
  Publication
- Precise Indoor Localization using PHY Layer Information
  
  Souvik Sen, Bozidar Radunovic, Romit Roy Choudhury, Tom Minka
  
  ACM Hotnets | November 2011
  
  Publication
- Diagram Structure Recognition by Bayesian Conditional Random Fields
  
  Yuan Qi, Martin Szummer, Tom Minka
  
  Proceedings of Computer Vision Pattern Recognition (CVPR) | June 2005
  
  Publication
- Non-conjugate Variational Message Passing for Multinomial and Binary Regression
  
  David A. Knowles, Tom Minka
  
  Advances in Neural Information Processing Systems 24 | October 2011
  
  Publication Publication Projet
- Modeling User Subjectivity In Image Libraries
  
  Rosalind W. Picard, Tom Minka, Martin Szummer
  
  IEEE Intl. Conf. on Image Processing (ICIP) | September 1996
  
  Publication
- Local Training and Belief Propagation
  
  Charles Sutton, Tom Minka
  
  MSR-TR-2006-121 | August 2006
  
  Publication
- Divergence Measures and Message Passing
  
  Tom Minka
  
  MSR-TR-2005-173 | January 2005
  
  Publication
- Power EP
  
  Tom Minka
  
  MSR-TR-2004-149 | January 2004
  
  Publication

- Using Lower Bounds to Approximate Integrals
  
  Tom Minka
  
  August 2001
  
  Publication
- Bayesian Inference of a Uniform Distribution
  
  Tom Minka
  
  January 2001
  
  Publication
- Bayesian Model Selection
  
  Tom Minka
  
  September 2000
  
  Publication
- Estimating a Dirichlet Distribution
  
  Tom Minka
  
  September 2000
  
  Publication
- Distance Measures as Prior Probabilities
  
  Tom Minka
  
  September 2000
  
  Publication
- Empirical Risk Minimization is an Incomplete Inductive Principle
  
  Tom Minka
  
  August 2000
  
  Publication
- Bayesian Linear Regression
  
  Tom Minka
  
  July 2000
  
  Publication
- Bayesian Model Averaging is not Model Combination
  
  Tom Minka
  
  July 2000
  
  Publication
- Deriving Quadrature Rules from Gaussian Processes
  
  Tom Minka
  
  June 2000
  
  Publication
- Beyond Newton’s Method
  
  Tom Minka
  
  April 2000
  
  Publication
- Expectation-Maximization as Lower Bound Maximization
  
  Tom Minka
  
  November 1999
  
  Publication
- Linear Regression with Errors in Both Variables: A Proper Bayesian Approach
  
  Tom Minka
  
  October 1999
  
  Publication
- From Hidden Markov Models to Linear Dynamical Systems
  
  Tom Minka
  
  July 1999
  
  Publication
- The Dirichlet-tree Distribution
  
  Tom Minka
  
  July 1999
  
  Publication
- Learning How to Learn is Learning With Point Sets
  
  Tom Minka, Rosalind W. Picard
  
  July 1999
  
  Publication
- Independence Diagrams
  
  Tom Minka
  
  August 1998
  
  Publication
- Inferring a Gaussian Distribution
  
  Tom Minka
  
  August 1998
  
  Publication
- Nuances of Probability Theory
  
  Tom Minka
  
  July 1998
  
  Publication
- Old and New Matrix Algebra Useful for Statistics
  
  Tom Minka
  
  September 1997
  
  Publication
- Modeling User Subjectivity In Image Libraries
  
  Rosalind W. Picard, Tom Minka, Martin Szummer
  
  IEEE Intl. Conf. on Image Processing (ICIP) | September 1996
  
  Publication
- Modeling User Subjectivity in Image Libraries
  
  Tom Minka
  
  IEEE International Conference on Image Processing (ICIP 96), Lausanne, Switzerland | September 1995
  
  Publication
- Vision Texture for Annotation
  
  Rosalind W. Picard, Tom Minka
  
  April 1995
  
  Publication
- Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities
  
  John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Myshkov, Alex Spengler, Denise Wilkins, Siân Lindley, Richard Banks, Sam Webster, Yordan Zaykov
  
  Automated Knowledge Base Construction | October 2021
  
  PDF Projet
- Elastic Distributed Bayesian Collaborative Filtering
  
  Alex Beutel, Markus Weimer, Tom Minka, Yordan Zaykov, Vijay Narayanan
  
  January 2014
  
  Publication Projet
- Knowing what we don’t know in NCAA Football ratings: Understanding and using structured uncertainty
  
  Daniel Tarlow, Thore Graepel, Tom Minka
  
  MIT Sloan Sports Analytics Conference | January 2014
  
  Publication Projet Projet
- Detecting Parameter Symmetries in Probabilistic Models
  
  Robert Nishihara, Daniel Tarlow, Tom Minka
  
  arXiv preprint arXiv:1312.5386 | December 2013
  
  Publication
- Spot Localization Using PHY Layer Information
  
  Souvik Sen, Bozidar Radunovic, Romit Roy Choudhury, Tom Minka
  
  In proceedings of ACM Mobisys | June 2012
  
  Publication
- How To Grade a Test Without Knowing the Answers – A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
  
  Yoram Bachrach, Tom Minka, John Guiver, Thore Graepel
  
  29th International Conference on Machine Learning, Edinburgh, Scotland, UK | January 2012
  
  Publication Projet
- Precise Indoor Localization using PHY Layer Information
  
  Souvik Sen, Bozidar Radunovic, Romit Roy Choudhury, Tom Minka
  
  ACM Hotnets | November 2011
  
  Publication
- Non-conjugate Variational Message Passing for Multinomial and Binary Regression
  
  David A. Knowles, Tom Minka
  
  Advances in Neural Information Processing Systems 24 | October 2011
  
  Publication Publication Projet
- Sparse-posterior Gaussian Processes for general likelihoods
  
  Yuan Qi, Ahmed H. Abdel-Gawad, Tom Minka
  
  Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010) | July 2010
  
  Publication
- 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 ACM International Conference on Web Search and Data Mining (WSDM 2010) | February 2010
  
  Publication Publication Projet
- Probabilistic Programming with Infer.NET
  
  John Winn, Tom Minka
  
  September 2009
  
  Publication Projet
- Click Chain Model in Web Search
  
  Fan Guo, Chao Liu, Anitha Kannan, Tom Minka, Mike Taylor, Yi-Min Wang, Christos Faloutsos
  
  WWW'09: Proceedings of the 18th International World Wide Web Conference | April 2009
  
  Publication Publication
- Gates
  
  Tom Minka, John Winn
  
  Advances in Neural Information Processing Systems 21 | January 2009
  
  Advances in Neural Information Processing Systems 21
  
  Publication
- Selection Bias in the LETOR Datasets
  
  Tom Minka
  
  August 2008
  
  Publication
- SoftRank: Optimising Non-Smooth Rank Metrics
  
  Mike Taylor, John Guiver, Stephen Robertson, Tom Minka
  
  WSDM 2008 | February 2008
  
  Publication
- Bayesian Color Constancy Revisited
  
  Peter Vincent Gehler, Carsten Rother, Andrew Blake, Tom Minka, Toby Sharp
  
  CVPR | January 2008
  
  Publication
- TrueSkill Through Time: Revisiting the History of Chess
  
  Ralf Herbrich, Tom Minka, Thore Graepel
  
  Advances in Neural Information Processing Systems 20 | January 2008
  
  Publication Projet
- The EP Energy Function and Minimization Schemes
  
  Tom Minka
  
  August 2007
  
  Publication
- The Smoothed-Dirichlet Distribution: A New Building Block for Generative Topic Models
  
  Ramesh Nallapati, Tom Minka, Stephen Robertson
  
  April 2007
  
  Publication
- Bayesian Inference in Dynamic Models
  
  Tom Minka
  
  March 2007
  
  Publication
- TrueSkill(TM): A Bayesian Skill Rating System
  
  Ralf Herbrich, Tom Minka, Thore Graepel
  
  Advances in Neural Information Processing Systems 20 | January 2007
  
  Publication Projet
- Principled Hybrids of Generative and Discriminative Models
  
  Julia A. Lasserre, Christopher Bishop, Tom Minka
  
  IEEE Conference on Computer Vision and Pattern Recognition | June 2006
  
  Publication
- Cosegmenting Image Pairs by Matching Global Histograms
  
  Carsten Rother, Vladimir Kolmogorov, Tom Minka, Andrew Blake
  
  Proc. IEEE Computer Vision and Pattern Recognition (CVPR) | June 2006
  
  Publication Publication
- Object Categorization by Learned Universal Visual Dictionary
  
  John Winn, Antonio Criminisi, Tom Minka
  
  August 2005
  
  Publication
- Diagram Structure Recognition by Bayesian Conditional Random Fields
  
  Yuan Qi, Martin Szummer, Tom Minka
  
  Proceedings of Computer Vision Pattern Recognition (CVPR) | June 2005
  
  Publication
- Structured Region Graphs: Morphing EP into GBP
  
  Max Welling, Tom Minka, Yee Whye Teh
  
  UAI | January 2005
  
  Publication
- Object Categorization by Learned Universal Visual Dictionary
  
  John Winn, Antonio Criminisi, Tom Minka
  
  Proceedings IEEE Intl. Conf. on Computer Vision (ICCV). | January 2005
  
  Publication Projet
- A Roadmap to Research on EP
  
  Tom Minka
  
  August 2004
  
  Publication
- Expectation Propagation for Infinite Mixtures
  
  Tom Minka, Zoubin Ghahramani
  
  NIPS 2003 | January 2004
  
  Publication
- Predictive Automatic Relevance Determination by Expectation Propagation
  
  Yuan (Alan) Qi, Tom Minka, Rosalind W. Picard, Zoubin Ghahramani
  
  ICML | January 2004
  
  Publication Publication
- The ‘Summation Hack’ as an Outlier Model
  
  Tom Minka
  
  August 2003
  
  Publication
- Computing with the COM-Poisson Distribution
  
  Tom Minka, Galit Shmueli, Joseph B. Kadane, Sharad Borle, Peter Boatwright
  
  June 2003
  
  Publication
- Building Statistical Models by Visualization
  
  Tom Minka
  
  May 2003
  
  Publication
- Tree-structured Approximations by Expectation Propagation
  
  Tom Minka, Yuan Qi
  
  NIPS 2003 | April 2003
  
  Publication
- A Comparison of Numerical Optimizers for Logistic Regression
  
  Tom Minka
  
  March 2003
  
  Publication
- Bayesian Inference, Entropy, and the Multinomial Distribution
  
  Tom Minka
  
  January 2003
  
  Publication
- Bayesian Color Constancy with Non-Gaussian Models
  
  Charles Rosenberg, Tom Minka, Alok Ladsariya
  
  NIPS2003 | January 2003
  
  Publication
- Judging Significance from Error Bars
  
  Tom Minka
  
  November 2002
  
  Publication
- Expectation Propagation for Signal Detection in Flat-fading Channels
  
  Yuan Qi, Tom Minka
  
  November 2002
  
  Publication
- Bayesian Spectrum Estimation of Unevenly Sampled Nonstationary Data
  
  Yuan Qi, Tom Minka, Rosalind W. Picard
  
  October 2002
  
  Publication
- Hessian-based Markov Chain Monte-Carlo Algorithms
  
  Yuan Qi, Tom Minka
  
  September 2002
  
  Publication
- Estimating a Gamma Distribution
  
  Tom Minka
  
  April 2002
  
  Publication
- Expectation-Propagation for the Generative Aspect Model
  
  Tom Minka, John Lafferty
  
  Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence | March 2002
  
  Publication
- Pathologies of Orthodox Statistics
  
  Tom Minka
  
  November 2001
  
  Publication
- Automatic Choice of Dimensionality for PCA
  
  Tom Minka
  
  MIT-MED-514 | January 2000
  
  Publication
- Interactive Learning Using a “Society of Models”
  
  Tom Minka, Rosalind W. Picard
  
  TR-349-ABSTRACT | May 1997
  
  Best Paper Award
  
  Publication
- TrueSkill 2: An improved Bayesian skill rating system
  
  Tom Minka, Ryan Cleven, Yordan Zaykov
  
  MSR-TR-2018-8 | March 2018
  
  Publié par Microsoft
  
  Publication Publication Projet Projet
- Belief Propagation with Strings
  
  Boris Yangel, Tom Minka, John Winn
  
  MSR-TR-2017-11 | February 2017
  
  Publication Vidéo Projet
- GroupBox: A Generative Model for Group Recommendation
  
  Cheng Zhang, John Guiver, Tom Minka, Yordan Zaykov
  
  MSR-TR-2015-61 | July 2015
  
  Publication
- Virtual Vector Machine for Bayesian Online Classification
  
  Tom Minka, Rongjing Xiang, Yuan (Alan) Qi
  
  UAI-P-2009-PG-411-418 | April 2009
  
  Symposium on Advances in Digital Filtering and Signal Processing
  
  Publication
- Gates: A Graphical Notation for Mixture Models
  
  Tom Minka, John Winn
  
  MSR-TR-2008-185 | December 2008
  
  Publication
- Local Training and Belief Propagation
  
  Charles Sutton, Tom Minka
  
  MSR-TR-2006-121 | August 2006
  
  Publication
- Discriminative models, not discriminative training
  
  Tom Minka
  
  MSR-TR-2005-144 | October 2005
  
  Publication
- Divergence Measures and Message Passing
  
  Tom Minka
  
  MSR-TR-2005-173 | January 2005
  
  Publication
- Power EP
  
  Tom Minka
  
  MSR-TR-2004-149 | January 2004
  
  Publication
- Exemplar-based Likelihoods Using the PDF Projection Theorem
  
  Tom Minka
  
  MSR-TR-2004-148 | January 2004
  
  Publication
- Window-Based Expectation Propagation for Adaptive Signal Detection in Flat-Fading Channels
  
  Yuan Qi, Tom Minka
  
  IEEE Transactions on Wireless Communications | January 2007
  
  Publication
- A Useful Distribution for Fitting Discrete Data: Revival of the Conway-Maxwell-Poisson Distribution
  
  Galit Shmueli, Tom Minka, Joseph B. Kadane, Sharad Borle, Peter Boatwright
  
  Journal of the Royal Statistical Society: Series C (Applied Statistics) | January 2005, Vol 54(1): pp. 127-142
  
  Publication
- Bayesian Conditional Random Fields
  
  Yuan Qi, Martin Szummer, Tom Minka
  
  Journal of Machine Learning Research (JMLR), AI & Statistics | January 2005, pp. 269-276
  
  Publication
- An Image Database Browser that Learns from User Interaction
  
  Tom Minka
  
  January 1996
  
  January 1996
  
  Publication
- Inference Algorithms for Probabilistic Graphical Models Video Lecture
  
  Tom Minka
  
  December 2015
  
  Publication
- Approximate Inference Video Lecture Series
  
  Tom Minka
  
  November 2009
  
  Machine Learning Summer School 2009
  
  Publication
- Automating Variational Inference for Statistics and Data Mining
  
  Tom Minka
  
  August 2009
  
  Invited talk at the 74th Annual Meeting of the Psychometric Society (IMPS 2009)
  
  Publication
- Expectation Propagation for Approximate Bayesian Inference
  
  Tom Minka
  
  April 2001
  
  April 2001
  
  Publication