I have cleaned up the notebooks for my course on Optimal Transport for Machine Learners and added links to the slides and lecture notes. github.com/gpeyre/ot4ml
25.05.2025 09:12 โ ๐ 59 ๐ 10 ๐ฌ 1 ๐ 0@yfelekis.bsky.social
PhD student in Machine Learning and Causality @ University of Warwick | Enrichment student @ The Alan Turing Institute | These days thinking about Causal Abstractions, Optimal Transport, Information Theory, and Emergence. Website: yfelekis.github.io
I have cleaned up the notebooks for my course on Optimal Transport for Machine Learners and added links to the slides and lecture notes. github.com/gpeyre/ot4ml
25.05.2025 09:12 โ ๐ 59 ๐ 10 ๐ฌ 1 ๐ 0๐ฅ Got a great work on causal representation learning, abstraction, high-dimensional discovery, or other hot topics in causality?
๐ง๐ท Donโt miss your chance to present in Rio at the CAR Workshop at #UAI2025!
โฐ Deadline is in 1 week โ May 26!
๐ sites.google.com/view/car-25/
If it were an episode of Friends, it would be: The one where Causal Abstractions (finally) meet Causal Representation Learning!
Speakers and CFP are out!
See you in Rio๐ด
#UAI #causality #workshop
A great joint work with Gabriele D' Acunto, Fabio Zennaro and Paolo Di Lorenzo!๐
04.02.2025 08:15 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0Hot off the press!๐ฅ
arxiv.org/abs/2502.00407
New preprint out with @drtnowotny.bsky.social and @neworderofjamie.bsky.social arxiv.org/abs/2501.07331
23.01.2025 12:49 โ ๐ 1 ๐ 1 ๐ฌ 1 ๐ 1That might be the most useful @neuripsconf.bsky.social post I've seen btw
11.12.2024 23:40 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0Interested in estimating posterior predictives in Bayesian inference? Really want to know if your approximate inference "is working"?
Come to our poster at the NeurIPS BDU workshop on Saturday - see TL;DR below.
State of AI #NeurIPS
10.12.2024 19:30 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0It was the first picture I took in Vancouver
10.12.2024 14:36 โ ๐ 3 ๐ 0 ๐ฌ 0 ๐ 1See you at #NeurIPS2024! Weโll present two papers:
1) โInterventionally Consistent Surrogates for Complex Simulation Modelsโ. Here, we propose a method for learning causal abstractions (โinterventionally consistent surrogatesโ) of complex simulation models! openreview.net/pdf?id=UtTjg... (1/3)
Huge shoutout to all the collaborators of this fantastic team: Joel Dyer, Nick Bishop, Fabio Zennaro, Ani Calinescu, Theo Damoulas and Michael Wooldridge๐
07.12.2024 20:55 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0If you want to learn more, join us at poster #5004 in West Ballroom A-D on Thursday, December 12th, from 4:30 PM to 7:30 PM!
07.12.2024 20:55 โ ๐ 3 ๐ 0 ๐ฌ 1 ๐ 0This work leverages Causal Abstraction theory to build causally consistent surrogates for complex simulation models, enabling more efficient policy evaluation and decision-making.
Paper: openreview.net/forum?id=UtT...
Blog post: www.nickbishop.net/2024/11/02/i...
Next week will be โ๏ธto @neuripsconf.bsky.social together with @joelnmdyer.bsky.social and Nick Bishop to present our work on "Interventionally Consistent Surrogates for Complex Simulation Models". Details ๐
07.12.2024 20:55 โ ๐ 7 ๐ 1 ๐ฌ 1 ๐ 0This work leverages Causal Abstraction theory to build causally consistent surrogates for complex simulation models, enabling more efficient policy evaluation and decision-making.
Paper: openreview.net/forum?id=UtT...
Blog post: www.nickbishop.net/2024/11/02/i...