I am a Senior Machine Learning Scientist at Amazon Australia. Prior to this appointment, I was a Senior Research Associate in Machine Learning at University of Oxford, working with Prof. Mike Osborne
in Machine Learning Research Group and Prof. Andrew Briggs.
Before that, I was a Research Scientist at Credit AI - Trusting Social
and an Associate Research Fellow at PRADA, Deakin University
with ARC Laureate Prof Svetha Venkatesh.
I obtained my PhD at Deakin University where I am very fortunate to be advised by Prof. Dinh Phung and Prof. Svetha Venkatesh in Dec 2015.
Research Interests
Bayesian Optimization, Gaussian Process, Deep Reinforcement Learning
Sep 2023 I will serve as the Area Chair for
the AISTATS 2024.
Aug 2023 Welcome
Yixin Liu to join us as an Applied Scientist Intern.
Jul 2023 Attending ICML 2023 in Hawaii. Let connect if you are around at the conference.
May 2023 I will be the Journal Track Chair at ACML 2023. Please consider submitting your paper for which accepted papers will appear in a special issue of the Springer Machine Learning Journal (MLJ). Deadline 02nd June.
Mar 2023 Welcome
Alexander Soen to join us as an Applied Scientist Intern.
Nov 2022 Our work on Mixed-Variable Black-Box Optimisation Using Value Proposal Trees has been accepted at
the AAAI 2023.
Aug 2022 I will serve as the Area Chair for
the AISTATS 2023.
Jun 2022 I am visiting Prof Frank Hutter's group at Freiburg and Prof Sebastian Pokutta's group
at TU Berlin, as part of the AInet program. If you are in Freiburg/Berlin and interested in research chat/collaboration, please drop me an email.
Mar 2022 Our Automated Reinforcement Learning (AutoRL) paper has been accepted at Journal of AI Research. Congratulations
to all authors across universities (Oxford, Freiburg, Leibniz U Hannover) and industry research labs (Google Brain, Facebook AI, Amazon).
Jan 2022 On the collective effort across multiple universities (University of Oxford, University of Freiburg, Leibniz University Hannover) and industry research labs (Google Brain, Facebook AI, Amazon) we release the preprint of AutoRL.
Feb 2021 We release a preprint paper addressing the problem of mixed optimization between continuous and categorical variables in high-dimensional space.
Aug 2020 I am awarded the Google Cloud Platform Education Grant 2020-2021 for accelerating my current research in AutoML.
Jul 2020 Our paper Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits has been selected at Top 3% for the Contributed Talk at AutoML workshop at ICML2020.
Congratulations Jack !!!
Jun 2020 Our papers Bayesian Optimization for Iterative Learning and Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits have been accepted at AutoML workshop at ICML2020.
Oct 2019 I am excited to teach this year Data Estimation and Inference course CDT AIMS.
Oct 2019 Our paper on Controlling Quantum Device Measurement using Deep Reinforcement Learning has been accepted at Deep Reinforcement Learning workshop at NeurIPS 2019 .
Aug 2019 I am visiting Australia this month. I am giving talks at University of Melbourne, Monash University and RMIT University.
Aug 2019 Our paper entitled Efficient Bayesian Optimization for Uncertainty Reduction over Perceived Optima Locations has been accepted at
ICDM 2019.
Jul 2019 I will serve as a reviewer for ICLR 2020.
Jul 2019 I am attending EEML2019. Looking forward to meeting you all.
Jun 2019 I am awarded the Young Investigator Training Program grant to visit Italian university link
May 2019 I am giving an invited talk at Oxford Aging Institute link
May 2019 Check out our recent work with Mike in exploiting the known optimum value for Bayesian optimization arxiv. In many situations in blackbox optimization and hyper-parameter
optimization, we observe the optimum output in advance and the goal is to find the optimum input.
Apr 2019 I am excited to be the recipient of the travel grant to attend EEML on Deep Learning and Reinforcement Learning, Bucharest in July 2019
Feb 2019 I am awarded the NVIDIA GPU grant. Many thanks to NVIDIA for their support.
Oct 2018 I have recently joined Credit AI - Trusting Social (for a 3 months contract) as a Research Scientist working on deep reinforcement learning for finance technology
Sep 2018 Our paper Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation has been accepted at NIPS 2018. Congratulations Shiva
Aug 2018 Our paper Accelerating Experimental Design by Incorporating Experimenter Hunches has been accepted at ICDM 2018. Congratulations Cheng
June 2018 Our paper Exploration Enhanced Expected Improvement for Bayesian Optimization has been accepted at ECML 2018. Congratulations Julian
May 2018 Invited to serve as a reviewer for PloS ONE
Dec 2017 Awarded Vice Chancellor Award for Outstanding Contribution with our team