Oliver Stegle

Name:	Oliver Stegle
Affiliation:	EMBl-European Bioinformatics Institute
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	27 Jan 2020, 5:12 a.m.

Public lists managed by Oliver Stegle

• Joint Machine Learning Seminars

Talks given by Oliver Stegle

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

• Journal Club: Mixed Membership Stochastic Blockmodels
• Journal Club: The Dynamic Hierarchical Dirichlet Process
• Python Tools for software development
• Improving the Power of eQTL Studies by accounting for non-genetic Factors
• Robust Gaussian Process Regression and Applications
• Gaussian Process models for solving ODEs

Talks organised by Oliver Stegle

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Oliver Stegle actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Improving the Power of eQTL Studies by accounting for non-genetic Factors
• Inference in Bayesian Networks using Dynamic Discretisation
• Robust Gaussian Process Regression and Applications
• Journal Club: "Reducing the Dimensionality of Data with Neural Networks"
• Journal Club: "Clustering appearance and shape by learning jigsaws"
• Journal Club "Searching for memories, Sudoku, implicit check-bits, and the iterative use of not-always-correct rapid neural computation"
• Journal Club: "Document language models, query models, and risk minimization for information retrieval"
• Journal Club: A Neural Probabilistic Language Model
• Expectation Consistent Approximate Inference
• Journal Club: "A Bayesian Analysis of Projective Incidence"
• Journal Club: Dirty paper coding and applications
• SUPERFAST SOLUTION OF REAL POSITIVE DEFINITE TOEPLITZ SYSTEMS
• Unsupervised Learning from Users' Error Correction in Speech Dictation
• Hierarchical Bayesian inference in the visual cortex
• "Weak pairwise correlations imply strongly correlated network states in a neural population"
• Machine Learning Journal Club: Gaussian Processes for Machine Learning Chapter VIII