Causal Inference 3: Counterfactuals · January 24, 2019

Causal Inference 2: Illustrating Interventions via a Toy Example · January 18, 2019

Online Bayesian Deep Learning in Production at Tencent · November 15, 2018

👻Halloween Special: Critical reviews of the worst NIPS 2018 papers. · October 30, 2018

The Blessings of Multiple Causes: Causal Inference when you Can't Measure Confounders · September 7, 2018

ML beyond Curve Fitting: An Intro to Causal Inference and do-Calculus · May 24, 2018

The Lottery Ticket Hypothesis - Paper Recommendation · May 10, 2018

Goals and Principles of Representation Learning · April 12, 2018

Pruning Neural Networks: Two Recent Papers · February 6, 2018

My notes on (Liang et al., 2017): Generalization and the Fisher-Rao norm · January 25, 2018