资源说明:my PhD thesis on Bayesian inference
thesis ====== Ferenc Huszar's PhD thesis on scoring rules and Bayesian inference. If you like my open-source thesis, you can donate to my after-thesis-submission-chill fund via micropayments service Flattr: [![Flattr this git repo](http://api.flattr.com/button/flattr-badge-large.png)](https://flattr.com/submit/auto?user_id=fhuszar&url=https://github.com/fhuszar/thesis&title=thesis&language=&tags=github&category=software) ## Contents: - General intro to scoring rules - Visualisation of information geometries induced by scoring rules - loss-calibrated approximate Bayesian inference - A scoring rule-based framework Bayesian active learning - Bayesian active learning for GP classification and preference learning - Adaptive Bayesian Quantum Tomography ## Licenses and stuff: - Most stuff, including figures are up for grabs, with appropriate reference to the thesis - The Cambridge University logo is from http://www.admin.cam.ac.uk/offices/communications/services/logos/ and may only be used as advised on that website - The repo contains latex class files or matlab macros written by other people, usually the file contains the name of the authors
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