Emti's photo

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


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

My current focus is on new algorithms for computers to autonomously learn to perceive, act, and reason throughout their lives.

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.

For more of my research activites, see the team ApproxBayes webpage.

Research Highlights


  • Area chair for AIStats 2021, ICML 2021
  • Reviewer for NeurIPS workshop 2020
  • Equity, Diversity and Inclusion (EDI) chair for ICLR 2021
  • Meetups Chair for NeurIPS 2020
  • Workshop Chair for ICML 2020
  • I have reviewed 9 papers, and served as editor for 4 JMLR papers in 2020 so far.
  • Senior AC for IJCAI-PRECAI 2019
  • Tutorials Chair for ACML 2019
  • I reviewed 62 papers in 2019, 70 papers in 2018, and 54 papers in 2017.