Approximate Bayesian Inference Team

Mohammad Emtiyaz Khan (Ph.D.)

Title

Team Leader

Members

Team Leader

Mohammad Emtiyaz Khan
Research Scientist

Pierre Alquier
Postdoctoral Researcher

Hongyi Ding
Postdoctoral Researcher

Xiangming Meng
Visiting Scientist

Parag Rastogi
Technical Staff I

Dharmesh Vijay Tailor
Technical Staff I

Vincent Tan Weng Choon

Introduction

Our main goal is to understand the principles of learning from data and use them to develop algorithms that can learn like living beings. Our current focus is on sequential learning and exploration. We are working 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 our recent works, we have combined ideas from a wide range of fields, such as, optimization, Bayesian statistic, information geometry, signal processing, and control systems.

Main Research Field

Computer Science

Research Subjects

Machine Learning
Statistics
Artificial Intelligence

Laboratory Website URL

https://emtiyaz.github.io/

RIKEN Website URL

http://www.riken.jp/en/research/labs/aip/generic_tech/approx_bayes_infer/

[Poster] FY2018 Research Results

[Links] ALQUIER Pierre, Research Scientist　http://alquier.ensae.net/

posted on December 5, 2019 09:30Information

Nine papers were accepted at AAAI-20