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NGBoost: Natural Gradient Boosting for Probabilistic Prediction

Published in International Conference on Machine Learning, 2020

NGBoost brings generic probabilistic prediction capability to gradient boosting.

Recommended citation: Tony Duan*, Anand Avati*, et.al. "NGBoost: Natural Gradient Boosting for Probabilistic Prediction" ICML 2020. https://stanfordmlgroup.github.io/projects/ngboost/

Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!

Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.

Machine Learning CS229 / STATS229

Graduate course, Stanford University, Computer Science, 2019

CS229 is Stanford’s hallmark Machine Learning course. I was the principal instructor for the course over Summer 2019 (and Summer 2020) quarter, for a total of over 300 students. This offering received the highest student course evaluation ratings across all CS229 offerings over the last 5 years.