Zhaoyang Wang
@zhaoyangw.bsky.social
CS PhD student at the University of Birmingham. Research interests: automated machine learning-AutoAI (Bayesian Optimization, GPs & meta-learning) and reinforcement learning. 🏳️🌈. https://sites.google.com/view/zhaoyangwang/home
Reposted by Zhaoyang Wang
Volume 287
proceedings.mlr.press/v278/
Proceedings of International Conference on Machine Learning and Intelligent Computing
Is now available on PMLR
proceedings.mlr.press/v278/
Proceedings of International Conference on Machine Learning and Intelligent Computing
Is now available on PMLR
Proceedings of Machine Learning Research
Proceedings of 2025 2nd International Conference on Machine Learning and Intelligent Computing Held in Zhengzhou, China on 25-27 April 2025 Published as Volume 278 by the Proceedings of Machine Learni...
proceedings.mlr.press
October 28, 2025 at 9:17 AM
Volume 287
proceedings.mlr.press/v278/
Proceedings of International Conference on Machine Learning and Intelligent Computing
Is now available on PMLR
proceedings.mlr.press/v278/
Proceedings of International Conference on Machine Learning and Intelligent Computing
Is now available on PMLR
Reposted by Zhaoyang Wang
Indeed - we showed an AutoML could easily compete with a deep learning LSTM & significantly outperform it in efficiency academic.oup.com/bioinformati... #automl #deeplearning #machinelearning
August 17, 2025 at 1:43 PM
Indeed - we showed an AutoML could easily compete with a deep learning LSTM & significantly outperform it in efficiency academic.oup.com/bioinformati... #automl #deeplearning #machinelearning
Reposted by Zhaoyang Wang
Volume 269
proceedings.mlr.press/v269/
Proceedings of Learning on Graphs 2024
Is now available on PMLR.
proceedings.mlr.press/v269/
Proceedings of Learning on Graphs 2024
Is now available on PMLR.
Proceedings of Machine Learning Research
Proceedings of the Third Learning on Graphs Conference Held in Virtual on 26-29 November 2024 Published as Volume 269 by the Proceedings of Machine Learning Research on 30 July 2025. Volume Edited by:...
proceedings.mlr.press
July 30, 2025 at 2:48 PM
Volume 269
proceedings.mlr.press/v269/
Proceedings of Learning on Graphs 2024
Is now available on PMLR.
proceedings.mlr.press/v269/
Proceedings of Learning on Graphs 2024
Is now available on PMLR.
Reposted by Zhaoyang Wang
@aithyra.bsky.social Opening Symposium "AI for Life Science" with Nobel Laureate Frances Arnold as keynote speaker in addition to an outstanding line up of speakers on a variety of topics across biological scales and data modalities.
Registration is now open at cemm.at/aithyra-symp...
Registration is now open at cemm.at/aithyra-symp...
July 24, 2025 at 7:26 PM
@aithyra.bsky.social Opening Symposium "AI for Life Science" with Nobel Laureate Frances Arnold as keynote speaker in addition to an outstanding line up of speakers on a variety of topics across biological scales and data modalities.
Registration is now open at cemm.at/aithyra-symp...
Registration is now open at cemm.at/aithyra-symp...
Reposted by Zhaoyang Wang
I am pleased to announce that together with some friends, we are organising a workshop on Non-Reversible MCMC Sampling, taking place at Newcastle University from 8–10 September 2025.
Details on the programme and registration can be found at the workshop website (sites.google.com/view/probai-...).
Details on the programme and registration can be found at the workshop website (sites.google.com/view/probai-...).
July 24, 2025 at 11:28 AM
I am pleased to announce that together with some friends, we are organising a workshop on Non-Reversible MCMC Sampling, taking place at Newcastle University from 8–10 September 2025.
Details on the programme and registration can be found at the workshop website (sites.google.com/view/probai-...).
Details on the programme and registration can be found at the workshop website (sites.google.com/view/probai-...).
Reposted by Zhaoyang Wang
At ICML, we're presenting a paper on uncertainty-aware surface reconstruction!
Compared to previous approaches, we are able to completely remove the need for recursive linear solves for reconstruction and interpolation, using geometric GP machinery.
Check it out!
Compared to previous approaches, we are able to completely remove the need for recursive linear solves for reconstruction and interpolation, using geometric GP machinery.
Check it out!
July 17, 2025 at 6:24 PM
At ICML, we're presenting a paper on uncertainty-aware surface reconstruction!
Compared to previous approaches, we are able to completely remove the need for recursive linear solves for reconstruction and interpolation, using geometric GP machinery.
Check it out!
Compared to previous approaches, we are able to completely remove the need for recursive linear solves for reconstruction and interpolation, using geometric GP machinery.
Check it out!
Reposted by Zhaoyang Wang
Calling the Brighton AI community - Neil D. Lawrence, DeepMind Professor of Machine Learning at Cambridge University, will be discussing his book, The Atomic Human, on Wed 23rd July - Tix link in comments.
@penguinrandomhouse.bsky.social @lawrennd.bsky.social @chrisley.bsky.social #AI #brighton
@penguinrandomhouse.bsky.social @lawrennd.bsky.social @chrisley.bsky.social #AI #brighton
July 14, 2025 at 2:47 PM
Calling the Brighton AI community - Neil D. Lawrence, DeepMind Professor of Machine Learning at Cambridge University, will be discussing his book, The Atomic Human, on Wed 23rd July - Tix link in comments.
@penguinrandomhouse.bsky.social @lawrennd.bsky.social @chrisley.bsky.social #AI #brighton
@penguinrandomhouse.bsky.social @lawrennd.bsky.social @chrisley.bsky.social #AI #brighton
Reposted by Zhaoyang Wang
The Code of Practice is out. I co-wrote the Safety & Security Chapter, which is an implementation tool to help frontier AI companies comply with the EU AI Act in a lean but effective way. I am proud of the result!
1/3
1/3
July 10, 2025 at 11:53 AM
The Code of Practice is out. I co-wrote the Safety & Security Chapter, which is an implementation tool to help frontier AI companies comply with the EU AI Act in a lean but effective way. I am proud of the result!
1/3
1/3
Reposted by Zhaoyang Wang
Don't sleep on Gaussian processes. Most under-rated model class on this or any other planet (we've used Gaussian processes to study exo-planets!)
June 21, 2025 at 9:19 AM
Don't sleep on Gaussian processes. Most under-rated model class on this or any other planet (we've used Gaussian processes to study exo-planets!)
Reposted by Zhaoyang Wang
The Gemini 2.5 Technical Report is out: storage.googleapis.com/deepmind-med...
June 17, 2025 at 8:10 PM
The Gemini 2.5 Technical Report is out: storage.googleapis.com/deepmind-med...
Reposted by Zhaoyang Wang
Did you know that sperm whales possess a phonetic alphabet & are capable of social learning? @projectceti.bsky.social (Cetacean Translation Initiative) is using ML & robotics with Prof @mmbronstein.bsky.social to listen to and translate the communication of sperm whales.
#WorldOceanDay
#WorldOceanDay
June 8, 2025 at 7:57 AM
Did you know that sperm whales possess a phonetic alphabet & are capable of social learning? @projectceti.bsky.social (Cetacean Translation Initiative) is using ML & robotics with Prof @mmbronstein.bsky.social to listen to and translate the communication of sperm whales.
#WorldOceanDay
#WorldOceanDay
Reposted by Zhaoyang Wang
Professor Mike Wooldridge has commented in The Guardian on Meta’s superintelligence ambitions: ‘There’s a good argument that there should be a CERN for AI’. www.theguardian.com/technology/2...
June 12, 2025 at 10:40 AM
Professor Mike Wooldridge has commented in The Guardian on Meta’s superintelligence ambitions: ‘There’s a good argument that there should be a CERN for AI’. www.theguardian.com/technology/2...
Reposted by Zhaoyang Wang
Can large language models plan, have intentions, or deceive? Prof Vincent Conitzer @conitzer.bsky.social will explore this seemingly contradictory question on Tuesday 17 June at 4pm in the Dorothy Crowfoot Hodgkin Building on South Parks Road.
Register in advance: forms.office.com/pages/respon...
Register in advance: forms.office.com/pages/respon...
Microsoft Forms
forms.office.com
June 12, 2025 at 3:03 PM
Can large language models plan, have intentions, or deceive? Prof Vincent Conitzer @conitzer.bsky.social will explore this seemingly contradictory question on Tuesday 17 June at 4pm in the Dorothy Crowfoot Hodgkin Building on South Parks Road.
Register in advance: forms.office.com/pages/respon...
Register in advance: forms.office.com/pages/respon...
Reposted by Zhaoyang Wang
Read more about this story, and about everything else BayesOpt, in Roman's superb (and free) book: bayesoptbook.com
Bayesian Optimization Book
Copyright 2023 Roman Garnett, published by Cambridge University Press
bayesoptbook.com
May 29, 2025 at 12:27 PM
Read more about this story, and about everything else BayesOpt, in Roman's superb (and free) book: bayesoptbook.com
Reposted by Zhaoyang Wang
I first spoke at the #TheAISummit in 2022 at a panel session promoting the CDEI Federated Learning Sandbox.
This year I'll be on the Headliners Stage on 11th of June talking about
strategic decision making in the age of AI.
london.theaisummit.com/speakers/nei...
This year I'll be on the Headliners Stage on 11th of June talking about
strategic decision making in the age of AI.
london.theaisummit.com/speakers/nei...
May 22, 2025 at 6:38 AM
I first spoke at the #TheAISummit in 2022 at a panel session promoting the CDEI Federated Learning Sandbox.
This year I'll be on the Headliners Stage on 11th of June talking about
strategic decision making in the age of AI.
london.theaisummit.com/speakers/nei...
This year I'll be on the Headliners Stage on 11th of June talking about
strategic decision making in the age of AI.
london.theaisummit.com/speakers/nei...
Reposted by Zhaoyang Wang
Erlangen AI Hub, unlike the name suggests, is located in England. Join us for a cool conference at the intersection of math and ML.
⏳ Only 10 days to go before registrations close for the Erlangen AI Hub conference on 9-11 June at Queen Mary University of London. Don't miss out! Find out more and register now: erlangenhub.ox.ac.uk/conference-2...
May 13, 2025 at 3:07 PM
Erlangen AI Hub, unlike the name suggests, is located in England. Join us for a cool conference at the intersection of math and ML.
Reposted by Zhaoyang Wang
Tomorrow, Tuesday 13th May I'll be on Radio 4 from 9 am for Life Scientific.
It will also be available online via BBC Sounds from the first broadcast:
www.bbc.co.uk/programmes/b...
Thank you @jimalkhalili.bsky.social and #bbcradio4 for inviting me!
It will also be available online via BBC Sounds from the first broadcast:
www.bbc.co.uk/programmes/b...
Thank you @jimalkhalili.bsky.social and #bbcradio4 for inviting me!
May 12, 2025 at 10:28 AM
Tomorrow, Tuesday 13th May I'll be on Radio 4 from 9 am for Life Scientific.
It will also be available online via BBC Sounds from the first broadcast:
www.bbc.co.uk/programmes/b...
Thank you @jimalkhalili.bsky.social and #bbcradio4 for inviting me!
It will also be available online via BBC Sounds from the first broadcast:
www.bbc.co.uk/programmes/b...
Thank you @jimalkhalili.bsky.social and #bbcradio4 for inviting me!
Reposted by Zhaoyang Wang
We’d like to announce next week’s virtual seminar on Bayesian Decision-making and Uncertainty!
Sebastian Ament (Meta)
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Sign-up link: gp-seminar-series.github.io
Sebastian Ament (Meta)
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Sign-up link: gp-seminar-series.github.io
May 7, 2025 at 6:11 PM
We’d like to announce next week’s virtual seminar on Bayesian Decision-making and Uncertainty!
Sebastian Ament (Meta)
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Sign-up link: gp-seminar-series.github.io
Sebastian Ament (Meta)
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Sign-up link: gp-seminar-series.github.io
Reposted by Zhaoyang Wang
Excited to share our latest work on EvoTune, a novel method integrating LLM-guided evolutionary search and reinforcement learning to accelerate the discovery of algorithms! 1/12🧵
April 26, 2025 at 4:56 PM
Excited to share our latest work on EvoTune, a novel method integrating LLM-guided evolutionary search and reinforcement learning to accelerate the discovery of algorithms! 1/12🧵
Reposted by Zhaoyang Wang
Cooperation on AI safety is necessary but also comes with potential risks. In our new paper, we identify technical AI safety areas that present comparatively lower security concerns, making them more suitable for international cooperation—even between geopolitical rivals. lnkd.in/e_FzCFW9
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
April 24, 2025 at 5:26 PM
Cooperation on AI safety is necessary but also comes with potential risks. In our new paper, we identify technical AI safety areas that present comparatively lower security concerns, making them more suitable for international cooperation—even between geopolitical rivals. lnkd.in/e_FzCFW9
Reposted by Zhaoyang Wang
Very excited for this keynote by @_rockt! Awesome to see open-endedness go from a niche (😉) area to a keynote at #ICLR ! 🌱🌿🌳🌲🍀🌍✨ 📈 🧬🧪 cc @joelbot3000.bsky.social @kennethstanley.bsky.social
April 25, 2025 at 2:56 AM
Very excited for this keynote by @_rockt! Awesome to see open-endedness go from a niche (😉) area to a keynote at #ICLR ! 🌱🌿🌳🌲🍀🌍✨ 📈 🧬🧪 cc @joelbot3000.bsky.social @kennethstanley.bsky.social
Reposted by Zhaoyang Wang
Online learning is like magic
new paper online:
"CONFIDENCE SEQUENCES FOR GENERALIZED LINEAR MODELS VIA REGRET ANALYSIS"
TL;DR: we reduce the problem of designing tight confidence sets for statistical models to proving the existence of small regret bounds in an online prediction game
read on for a quick thread 👀👀👀
1/
"CONFIDENCE SEQUENCES FOR GENERALIZED LINEAR MODELS VIA REGRET ANALYSIS"
TL;DR: we reduce the problem of designing tight confidence sets for statistical models to proving the existence of small regret bounds in an online prediction game
read on for a quick thread 👀👀👀
1/
April 24, 2025 at 3:12 AM
Online learning is like magic
Reposted by Zhaoyang Wang
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
#ICLR25
openreview.net/forum?id=ReI...
NNs
✨better than fixed-feature (kernel, sieve) when target has low spatial homogeneity,
✨more sample-efficient wrt Stage 1
Kim, @dimitrimeunier.bsky.social, Suzuki, Li
#ICLR25
openreview.net/forum?id=ReI...
NNs
✨better than fixed-feature (kernel, sieve) when target has low spatial homogeneity,
✨more sample-efficient wrt Stage 1
Kim, @dimitrimeunier.bsky.social, Suzuki, Li
April 22, 2025 at 10:23 PM
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
#ICLR25
openreview.net/forum?id=ReI...
NNs
✨better than fixed-feature (kernel, sieve) when target has low spatial homogeneity,
✨more sample-efficient wrt Stage 1
Kim, @dimitrimeunier.bsky.social, Suzuki, Li
#ICLR25
openreview.net/forum?id=ReI...
NNs
✨better than fixed-feature (kernel, sieve) when target has low spatial homogeneity,
✨more sample-efficient wrt Stage 1
Kim, @dimitrimeunier.bsky.social, Suzuki, Li
Reposted by Zhaoyang Wang
Keen to read this:
arxiv.org/abs/2504.13322
'Foundations of locally-balanced Markov processes'
- Samuel Livingstone, Giorgos Vasdekis, Giacomo Zanella
arxiv.org/abs/2504.13322
'Foundations of locally-balanced Markov processes'
- Samuel Livingstone, Giorgos Vasdekis, Giacomo Zanella
April 21, 2025 at 10:58 AM
Keen to read this:
arxiv.org/abs/2504.13322
'Foundations of locally-balanced Markov processes'
- Samuel Livingstone, Giorgos Vasdekis, Giacomo Zanella
arxiv.org/abs/2504.13322
'Foundations of locally-balanced Markov processes'
- Samuel Livingstone, Giorgos Vasdekis, Giacomo Zanella
