Nando De Freitas Bayesian Optimization

Machine learning - Bayesian optimization and multi-armed bandits

Bayesian optimization

Nando de Freitas: Bayesian Optimization

The talk presented at Gaussian Process Summer School at Sheffield, on September 16, 2015.

Machine learning - Bayesian learning

Bayesian

undergraduate machine learning 6: Bayes rule and Bayesian networks

Introduction to Bayes rule,

Nando de Freitas: Recent Advances and Challenges in Bayesian Optimization

The talk presented at Workshop on Gaussian Process for Global

undergraduate machine learning 26: Optimization

Introduction to

undergraduate machine learning 13: Learning Bayesian networks

Learning

Bayesian Optimization with Gradients - NIPS 2017

Paper: https://arxiv.org/abs/1703.04389 Code: https://github.com/wujian16/Cornell-MOE

Machine learning - Introduction to Gaussian processes

Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html Course taught in 2013 at UBC by

undergraduate machine learning 5: Introduction to Bayes

... here: http://www.cs.ubc.ca/~nando/340-2012/lectures.php This course was taught in 2012 at UBC by

Extensions of Bayesian Optimization for Real-World Applications

Based on joint work with Holger Hoos, Kevin Leyton-Brown, and

undergraduate machine learning 11: Maximum likelihood

... here: http://www.cs.ubc.ca/~nando/340-2012/lectures.php This course was taught in 2012 at UBC by

Machine learning |10. Bayesian optimization and multi armed bandits | Free Online Course

Bayesian optimization

Nando de Freitas: "An Informal Mathematical Tour of Feature Learning, Pt. 4"

... Feature Learning "An Informal Mathematical Tour of Feature Learning, Pt. 4"

Machine learning - Unconstrained optimization

Unconstrained

Machine learning - Gaussian processes

... Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html Course taught in 2013 at UBC by