Mohammad Emtiyaz Khan
Mohammad Emtiyaz Khan (Ph.D.)
Title
Team Leader

Members

  • Team leader
    Emtiyaz Khan
  • Research scientist
    Thomas Moellenhoff
  • Special postdoctoral researcher
    Geoffrey Wolfer
  • Postdoctoral researcher
    Keigo Nishida
  • Postdoctoral researcher
    Lu Xu
  • Postdoctoral researcher
    Hugo Monzon
  • Postdoctoral researcher
    Zhedong Liu
  • Technical staff I
    Peter Nickl
  • Visiting scientist
    Pierrealain Alquier（Professor, ESSEC Singapore）
  • Visiting scientist
    Joseph Austerweil

Introduction

Laboratory's photo

Humans, animals, and other living beings have a natural ability to autonomously learn throughout their lives and quickly adapt to their surroundings, but AI lack such abilities. Our goal is to bridge such gaps between the learning of living-beings and AI. We are machine learning researchers with an expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry etc. We work on a variety of learning problems, especially those involving supervised, continual, active, federated, online, and reinforcement learning. Currently, we are developing algorithms which enable computers to autonomously learn to perceive, act, and reason throughout their lives.

Main Research Field
Computer Science
Research Subjects
Machine Learning
Statistics
Artificial Intelligence
Laboratory Website URL
https://team-approx-bayes.github.io/
RIKEN Website URL
http://www.riken.jp/en/research/labs/aip/generic_tech/approx_bayes_infer/

Introduction Video

Talk by Dr. Ilsang Ohn, a postdoctoral researcher at the University of Notre Dame on Adaptive variational Bayes: Optimality, computation and applications thumbnails
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Poster(s)
Related Link(s)

Related posts

posted on November 1, 2023 14:47Seminar
[Non-asymptotic analysis of Langevin-type algorithms for non-log-concave non-smooth distributions] Talk by Dr.Shogo Nakakita, University of Tokyo
posted on September 25, 2023 20:05Information
35 papers were accepted at NeurIPS 2023
posted on September 1, 2023 12:11Seminar
Seminar by Martin Mundt (TU Darmstadt) and Krikamol Muandet (CISPA)
posted on September 1, 2023 12:24Seminar
Seminar by Samuel Kaski (Aalto University) on Collaborative Machine Learning for Science
posted on August 10, 2023 12:24Seminar
[ABI team seminar] Talks by So Takao (UCL) and Michael Samuel Albergo (NYU)
posted on July 9, 2023 11:58Seminar
[ABI team seminar] Talk by Prof. Antonio Vergarri (UofEdinburgh) on "Automating Probabilistic Reasoning and Learning"
posted on July 11, 2023 11:01Seminar
[ABI team seminar] Talk by Prof. Rajesh Ranganath (NYU) on "Out of distribution generalization"
posted on July 2, 2023 21:34Seminar
[ABI team seminar] Talk by Prof. Molei Tao on "Sampling and optimization in non-Euclidean spaces"
posted on June 13, 2023 13:22Seminar
The Bayes-Duality Workshop Part I
posted on May 2, 2023 09:42Information
23 papers have been accepted at ICML 2023
posted on January 27, 2023 20:39Information
7 papers have been accepted at ICLR 2023
posted on January 27, 2023 10:01Information
7 papers have been accepted at AISTATS 2023
posted on November 28, 2022 17:15Seminar
The ABI-team seminar by Prof. Michael Choi (National University of Singapore and Yale-NUS College)
posted on November 24, 2022 12:38Seminar
The ABI-team seminar by Prof. Michael Zhang (Univ. of Hong Kong)
posted on November 2, 2022 17:08Seminar
The ABI-team seminar by Prof. Yarin Gal (Oxford) on Nov. 9
posted on October 27, 2022 18:33Seminar
The ABI team mini-symposium (a whole day event, featuring 7 talks)
posted on September 25, 2022 21:33Seminar
[Rescheduled]Approximate Bayesian Inference Team Seminar (Talk by Karim Lounici, Ecole Polytechnique, visiting researcher at Keio University)
posted on June 16, 2022 19:32Seminar
Team ABI Seminar by Itay Evron, (Technion) on "Catastrophic forgetting in linear regression"
posted on May 26, 2022 13:06Information
Approximate Bayesian Inference
posted on March 18, 2022 19:52Seminar
[13th EPFL CIS - RIKEN AIP Joint Seminar] Talks by Emtiyaz Khan, RIKEN AIP
posted on January 28, 2022 17:33Seminar
ABI team seminar: Metropolis Adjusted Underdamped Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo
posted on December 13, 2021 12:02InformationAward
NeurIPS challenge on "Approximate Inference in Deep Learning"
posted on October 11, 2021 18:57Seminar
Adaptive variational Bayes: Optimality, computation and applications
posted on October 8, 2021 16:33Information
17 papers were accepted at NeurIPS 2021
posted on August 2, 2021 18:11Information
Collaborative Agreement between RIKEN and Okinawa Institute of Science and Technology Graduate University
posted on May 21, 2021 15:49Information
26 papers have been accepted at ICML 2021
posted on March 11, 2021 15:47Seminar
Talk by Daniele Calandriello (DeepMind, Paris) on "Scalable Determinantal Point Processes for Machine Learning"
posted on February 12, 2021 13:05Seminar
[16th AIP Open Seminar] Talks by Approximate Bayesian Inference Team
posted on January 29, 2021 13:48Information
17 papers were accepted at AISTATS 2021
posted on October 2, 2020 09:00Information
21 papers were accepted at NeurIPS 2020
posted on July 16, 2020 15:15Information
Eighteen papers were accepted at ICML 2020
posted on December 5, 2019 09:30Information
Fourteen papers were accepted at AAAI-20
posted on November 21, 2019 11:00Award
Pierre Alquier and Mohammad Emtiyaz Khan received the Best Paper Award, ACML 2019
posted on November 15, 2019 14:00Information
Director Sugiyama, Team Leader Khan and Unit Leader Maehara have took part in The Fields CQAM Focus Program as co-organizers
posted on September 11, 2019 12:00Information
21 papers were accepted at NeurIPS 2019
posted on May 16, 2019 13:52Information
Fourteen papers have been accepted at ICML 2019
posted on February 1, 2019 11:29Seminar
Talk by Prof. Pierre Jacob (Harvard University) on "Unbiased Markov chain Monte Carlo"
posted on September 25, 2018 11:09Information
NUS SoC – RIKEN AIP Workshop on Artificial Intelligence in Singapore
posted on September 7, 2018 17:55Information
Twelve papers are accepted at NeurIPS 2018