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Emtiyaz Khan

I am a team leader at the RIKEN center for Advanced Intelligence Project (AIP) in Tokyo where I lead the Approximate Bayesian Inference (ABI) Team. From April 2018, I am a visiting professor at the EE department in Tokyo University of Agriculture and Technology (TUAT). I am an Action Editor for the Journal of Machine Learning (JMLR). From 2014 to 2016, I was a scientist at EPFL in Matthias Grossglausser's lab. During my time at EPFL, I taught two large machine learning courses for which I received a teaching award. I first joined EPFL as a post-doc with Matthias Seeger in 2013 and before that I finished my PhD at UBC in 2012 under the supervision of Kevin Murphy.

emtiyaz [at] gmail.com [or] emtiyaz.khan [at] riken.jp

Research Publications Teaching People News Blog

Research

"My main goal is to understand the principles of learning from data and use them to develop algorithms that can learn like living beings."

My current focus is on developing new algorithms to autonomously learn to percept, act, and reason throughout their lives, for which I have been working on sequential learning and exploration.

I work on problems in several areas of machine learning, such as approximate inference, deep learning, reinforcement learning, active learning, online learning, and reasoning in computer vision. In my recent works, I have worked on ideas from a wide range of fields, such as, optimization, Bayesian statistic, information geometry, signal processing, and control systems.

Research Highlights

Service

  • Area chair for AIStats 2021
  • Equity, Diversity and Inclusion (EDI) chair for ICLR 2021
  • Meetups Chair for NeurIPS 2020
  • Workshop Chair for ICML 2020
  • Senior AC for IJCAI-PRECAI 2019
  • Tutorials Chair for ACML 2019
  • I have reviewed 1 paper in 2020 so far.
  • I reviewed 62 papers in 2019, 70 papers in 2018, and 54 papers in 2017.