For want of a nail the shoe was lost.For want of a shoe the horse was lost.For want of a horse the rider was lost.For want of a rider the message was lost.For want of a message the battle was lost.For want of a battle the kingdom was lost.And all for t…
In this blog post, I am (briefly) reviewing Christoph Molnar’s *Interpretable Machine Learning Book*. Then, I am writing about two classic generalized…
The first chapter (draft) of the Introduction to Deep Learning book, which is a book based on my lecture notes and slides.
Last week at ICML 2020, Mikael Henaff, Akshay Krishnamurthy, John Langford and I had a paper on a new reinforcement learning (RL) algorithm that solves three key problems in RL: (i) global exploration, (ii) decoding latent dynamics, and (iii) optimizing a given reward function. Our ICML poster is here. The paper is a bit mathematically heavy in nature so this …
Continue reading “HOMER: Provable Exploration in Reinforcement Learning”
Xiaoyi Yin (尹肖贻) has kindly translated this post into Chinese (中文)This post was prompted by a tweet I saw from my colleague, Colin:I’m currently a researcher at Google with a “non-traditional background”, where non-traditional background means “so…
I’ve been following the renamed COVID-19 epidemic closely since potential exponentials deserve that kind of attention. The last few days have convinced me it’s a good idea to start making contingency plans for machine learning conferences like ICML. The plausible options happen to be structurally aligned with calls to enable reduced travel to machine learning …
Continue reading “Coronavirus and Machine Learning Conferences”
A brief review of Martin Ford’s book that features interviews with 23 of the most well-known and brightest minds working on AI.
A brief summary of what’s new in the 3rd edition of Python Machine Learning.
Not too long ago, in the Summer of 2018, I was super excited to join the Department of Statistics at the University of Wisconsin-Madison after obtaining my…
Snapchat’s new gender-bending filter is a source of endless fun and laughs at parties. The results are very pleasing to look at. As someone who is used to working with machine learning algorithms, it’s almost magical how robust this feature is.
I was …