Dingling Yao (@dingling_yao) 's Twitter Profile
Dingling Yao

@dingling_yao

ID: 1527736382306885633

linkhttps://ddcoan.github.io/ calendar_today20-05-2022 19:42:10

37 Tweet

224 Followers

135 Following

Chenhao Li (@breadli428) 's Twitter Profile Photo

First time I doubt about the future of AI is that I learned from Priya L. Donti ICLR 2025 that Deutsche Bahn Deutsche Bahn AG is using AI to make their trains on time. 👀 #ICLR2024 I don’t understand 🙃

First time I doubt about the future of AI is that I learned from <a href="/priyald17/">Priya L. Donti</a> <a href="/iclr_conf/">ICLR 2025</a> that Deutsche Bahn <a href="/DB_Presse/">Deutsche Bahn AG</a> is using AI to make their trains on time. 👀 #ICLR2024

I don’t understand 🙃
Christoph Lampert (@thegruel) 's Twitter Profile Photo

Are you planning to attend #ICML2024 in Vienna? Why not come two days earlier and attend the Symposium "The Future of Machine Learning" at ISTAustria on July 19th? We'll have great speakers, free coffee, and enough space to meet and chat. fml2024.ista.ac.at ICML Conference

Riccardo Cadei (@riccardocadeii) 's Twitter Profile Photo

✨ New preprint ✨ 🪜 Are you aiming to use deep learning to reach causality in mean (e.g., treatment effect estimation)? Factual Estimation via Representation Learning for Causal Inference is subtle even in the simplest possible setting (RCT). 🧵1/8

✨ New preprint ✨

🪜 Are you aiming to use deep learning to reach causality in mean (e.g., treatment effect estimation)? Factual Estimation via Representation Learning for Causal Inference is subtle even in the simplest possible setting (RCT).   🧵1/8
Núria Armengol @ICML2024 (@nriaarmengol2) 's Twitter Profile Photo

Tired of causally confused agents when learning from offline datasets? We propose 🚣🏼‍♀️CAIAC🚣🏼‍♀️, a method for counterfactual data augmentation to improve the robustness of offline learning agents against extreme distributional shifts at test time. 🧵