peterljq / Bayes-Study-Path

The repo that records my readings and works on Bayes, Probabilistic Machine learning (and some Deep Learning).

Bayes-Study-Path

The repo that records the readings on Bayesian Optimization, Probabilistic Machine Learning (and some Deep Learning).

Books

Machine Learning: a Probabilistic Perspective Chapter 15: Gaussian Processes | Chapter 21: Variational Inference

Gaussian Processes for Machine Learning

Pattern Recognition And Machine Learning Chapter 10: Approximate Inference

Papers

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Taking the Human Out of the Loop: A Review of Bayesian Optimization

Preferential Bayesian Optimization

Variational Inference: A Review for Statisticians

A Unifying View of Sparse Approximate Gaussian Process Regression

Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models – a Gentle Tutorial

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Videos

[Cornell] Gaussian Processes

[UWaterloo] Gaussian Processes

[UC Berkeley] Variational Inference: Foundations and Innovations

[U of Colorado Boulder] Machine Learning: Variational Inference

[NIPS 2016 Tutorial] Variational Inference: Foundations and Modern Methods

[UAI 2018 Tutorial] Bayesian Optimization

[SydneyTech] Lecture Series on Probabilistic Machine Learning