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 andrew222651.com
Uncertainty due to computational approximation in Bayesian inference ยท Andrew's Blog
| | deepai.org
Bayesian Inference Definition | DeepAI
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| | Bayesian inference refers to the application of Bayes' Theorem in determining the updated probability of a hypothesis given new information.
| | tiao.io
A Handbook for Sparse Variational Gaussian Processes | Louis Tiao
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| | A summary of notation, identities and derivations for the sparse variational Gaussian process (SVGP) framework.
| | dustintran.com
Two papers released on arXiv, "Operator Variational Inference" and "Model Criticism for Bayesian Causal Inference" | Dustin T...
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| | Two papers of mine were released today on arXiv. Operator variational inference, in collaboration with Rajesh Ranganath, Jaan Altosaar, and David Blei. Model criticism for Bayesian causal inference, in collaboration with Francisco Ruiz, Susan Athey, and David Blei. Last week, I gave a talk at OpenAI on operator variational inference and Edward. I can now release those slides online. Operator variational inference Operator VI is a paper I'm really excited about. It is at NIPS this year. Most directly, it'...
| | 0x65.dev
The Architecture of a Large-Scale Web Search Engine, circa 2019
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| Our Journey to Microservices, Kubernetes and beyond.