Minka,Tom - Microsoft Research Cambridge

• Bayesian inference of a uniform distribution Thomas P. Minka
• Expectation Propagation for Approximate Bayesian Inference Thomas P Minka
• Learning distance measures from labeled data --An overview Thomas P. Minka
• Distance measures as prior probabilities Thomas P. Minka
• Expectation propagation for infinite mixtures
• ExpectationMaximization as lower bound maximization Thomas P. Minka
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• EP: A quick reference Thomas Minka
• Old and New Matrix Algebra Useful for Statistics Thomas P. Minka
• Bayesian linear regression Thomas P. Minka
• The Dirichlet-tree distribution Justsystem Pittsburgh Research Center
• Structured Region Graphs: Morphing EP into GBP Max Welling
• Bayesian Conditional Random Fields Yuan (Alan) Qi
• Tree-structured approximations by expectation propagation
• Expectation-Propagation for the Generative Aspect Model Thomas Minka
• Document Image Decoding using Iterated Complete Path Search with Subsampled Heuristic Scoring
• Building statistical models by visualization
• A comparison of numerical optimizers for logistic regression Thomas P. Minka
• Estimating a Dirichlet distribution Thomas P. Minka
• The `summation hack' as an outlier model Thomas P. Minka
• Learning How to Learn is Learning with Thomas P. Minka
• Independence Diagrams Thomas P. Minka
• Deriving quadrature rules from Gaussian processes Thomas Minka
• Inferring a Gaussian distribution Thomas P. Minka
• Estimating a Gamma distribution Thomas P. Minka
• A family of algorithms for approximate Bayesian inference Thomas P Minka
• Linear regression with errors in both variables: A proper Bayesian approach
• Bayesian model averaging is not model combination Thomas P. Minka
• Object Categorization by Learned Universal Visual Dictionary J. Winn, A. Criminisi and T. Minka
• A family of algorithms Thomas P. Minka
• Selection bias in the LETOR datasets Microsoft Research
• Expectation Propagation in CMU Statistics
• Expectation-Propagation for the Generative Aspect Model
• Just Research Thomas Minka
• Using lower bounds to approximate integrals Thomas P. Minka
• Principled Hybrids of Generative and Discriminative Models Julia A. Lasserre
• Diagram Structure Recognition by Bayesian Conditional Random Fields 32 Vassar Street
• Thomas Minka Microsoft Research Ltd
• Document Image Decoding using Iterated Complete Path Search
• Tree-structured approximations by expectation propagation