My name is Luong (Louie) Hoang. I am a data scientist with the Speech Recognition & Language Modeling group. Previously I was a research engineer at MicrosoftResearch in Cambridge, MA. Prior to joining MSR, I worked on the kernel for Microsoft Dynamics AX.
At Microsoft AI & Research, I have worked on various Machine Learning systems. Some of these include: Multi-World Testing (contextual bandit), Predictive Accentless Typing, Object Detection with Deep Learning, Motion Estimation, Image Search and many other fun things.
Exponentially better than A/B testing. Multiworld Testing (MWT) is the capability to test and optimize over K policies (context-based decision rules) using an amount of data and computation that scales logarithmically in K, without necessarily knowing these policies before or during data collection. MWT can answer exponentially more detailed questions compared to traditional A/B testing. The underlying machine learning methodology draws on research on "contextual bandits" and "counterfactual evaluation".…
Alekh Agarwal, Sarah Bird, Markus Cozowicz, Luong Hoang, John Langford, Stephen Lee, Jiaji Li, Dan Melamed, Gal Oshri, Oswaldo Ribas, Siddhartha Sen, Alex Slivkins,
in ArXiv preprint,
June 13, 2016, View abstract,
View external link
Some other projects/activities that I’ve been involved with: