1/ How can causality help ML research?
Introducing Causal Machine Learning: A Survey and Open Problems (https://t.co/qCHKh3UqSX), written with @jeankaddour and Qi Liu.
A thread #CausalML
What a week of racing in the pool
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So happy to come away with some silverware and thank you to everyone who has been part of the journey so far especially to my coaches and teammates who have supported me throughout, you are the best 💙
@swimireland@SwimUlster@Inphosports
Unbelievable experience to race in-front of a sell out home crowd on day 1 of the the games.
Buzzing to get back out there for my main event on Wednesday morning.
@officialteamengland @ Commonwealth Games 2022 https://t.co/Fg7WwhiWJt
Thrilled to have been selected for @TeamEngland team to compete at the commonwealth games this summer.
I couldn’t have got here without the support of so many people. A huge thanks especially to my parents who have swum every race with me from the stands. 🦁
Today at Polish Parliament Group on Ukraine @michaldworczyk from PM Office, confirmes that Polish border is open for ALL Ukrainians, even those without a valid ID document.
No COVID certificates, no insurance. Animals are welcome. We prepare for 1-4 million refugees in days.
Brilliant to meet our swimming squad ahead of the @BUCSsport nationals this weekend. Luckily for everybody concerned, I declined the come dressed for your sport option. I also presented @felixauboeck and Louise Hansson with a #VCGoldAward for their world championship golds.
1) If all humans stood in a circle, it would be way bigger than the moon's orbit.
2) If we all stood together as a crowd, we'd fit in NYC.
3) If we all stood stacked, we'd fit in a 1km cube.
4) If you removed the empty space in human atoms, we'd all fit in an M&M.