Matthew Ashman

PhD student in probabilistic machine learning @CambridgeMLG.

[Thang Bui @thdbui]

Indeed! now accepted at TMLR https://t.co/0dFXbReQpf. Also check out Titsias’ concurrent paper.

[Matthew Ashman @_MatthewAshman]

@ikwess @lorentzcenter Beautiful slides!

[Stat.ML Papers @StatMLPapers]

Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data https://t.co/uwia7OmuVV

[Statistics (Machine Learning) Papers @StatsPapers]

Approximately Equivariant Neural Processes. https://t.co/dkrc6Q6QkX

[Matthew Ashman @_MatthewAshman]

@jackm2003 @thdbui @oneill_c Great work guys!

[Matthew Ashman @_MatthewAshman]

@GabSutton Wishing you a speedy recovery Gab!

[Cambridge MLG @CambridgeMLG]

Adrian Weller @adrian_weller (https://t.co/4zKafWWxBR), who has broad interests across trustworthy AI including explainability, fairness, robustness, scalability, privacy, safety, and ethics.

[Umang Bhatt @umangsbhatt]

I successfully defended my PhD thesis today 🎉

Many thanks to my examiners, @erichorvitz and @lawrennd, for their thoughtful comments and a very fun viva!

[Matthew Ashman @_MatthewAshman]

@umangsbhatt @erichorvitz @lawrennd With no corrections, may I add!!!! So proud of you brother

[Matthew Ashman @_MatthewAshman]

@victoriaelms Unreal—congratulations!

[Matthew Ashman @_MatthewAshman]

“This looks like the funny numbers you make on your laptop!!”

[Jose Miguel Hernández-Lobato @jmhernandez233]

PhD opportunities at the Cambridge Machine Learning Group @CambridgeMLG. Application deadline 1 Dec at noon (UK time). More info at https://t.co/FYIFNISvjK

[Nick Pawlowski @pwnic]

I'm happy to share more information about our #NeurIPS2022 workshop on Causal ML for real-world impact.

Please submit short papers until Sept, 30th and join us in New Orleans on Dec, 2nd.

You can find more information and CfP here: https://t.co/mPJhteHLlL

[Umang Bhatt @umangsbhatt]

If you're at #ICML2022, check out our poster “Perspectives on Incorporating Expert Feedback into Model Updates” at the Updatable ML workshop in Ballroom 2 tomorrow at 3:30pm. 🧵

Joint w/ @valeriechen_, @HodaHeidari, @adrian_weller, @atalwalkar

Preprint: https://t.co/YKXVDweB2u

[Nick Pawlowski @pwnic]

I’m excited to to share our #NeurIPS2022 Causal ML Challenge organised by @MSFTResearchCam and @HelloEedi. Participants discover causal relations between learning constructs in synthetic and real data.

Kudos to @wenbo_gong for setting it up.

Please join: https://t.co/DGieX57iAu

[David Krueger 🦥 ⏸️ ⏹️ ⏪ @DavidSKrueger]

I think the Cambridge MLMI MPhil is among the best and most competitive in Europe. We're looking for someone to help run the taught component!

Job opportunity: Associate Teaching Professor at the University of Cambridge, Department of Engineering
Advert: https://t.co/6P4ICPWhTq

[Adrian Weller @adrian_weller]

With deep gratitude and appreciation to amazing collaborators at @Cambridge_Uni @turinginst @CDEIUK @LeverhulmeCFI @CambridgeMLG @Cambridge_Eng @Cambridge_CL and beyond. And congratulations to all other recipients including @Marion_InfoLaw !

[Engineering Dept @Cambridge_Eng]

PhD student @umangsbhatt awarded a @jpmorgan AI #PhD #Fellowship

Umang works to ensure that machine learning technologies are developed responsibly. As #AI makes ever more decisions in our lives, his research is incredibly important.

https://t.co/RDV4yAtPMK

@StEdmundsCam

[Matthew Ashman @_MatthewAshman]

@naitisb @UoE_Psychology @hil_richardson @SocSciScotland @EdinburghUni @SchoolofPPLS Congratulations! So excited to see@you in the U.K. again!!

[Naiti S. Bhatt @naitisb]

I'm excited to announce that I'm going to begin my graduate studies this fall at @UoE_Psychology, exploring the neural mechanisms of theory of mind development with @hil_richardson, funded by @SocSciScotland.