
Xing Liu
64 posts

Xing Liu
@XingLiu97
PhD student of statistical ML @StatMLIO @imperialcollege | Supervised by Prof. @axel_gandy and Dr. Andrew Duncan | Enrichment Student at @turinginst | 刘行


A new robust solution to goodness-of-fit (GOF) testing for unnormalized models! Joint work with @fx_briol. ❌Existing kernel GOF tests based on KSD are NOT robust. ✅We introduce a simple, provably robust extension that adds no extra computational cost! arxiv.org/abs/2408.05854

Mitigating racial bias from LLMs is a lot easier than removing it from humans! Can’t believe this happened at the best AI conference @NeurIPSConf We have ethical reviews for authors, but missed it for invited speakers? 😡

1/3 Today, an anecdote shared by an invited speaker at #NeurIPS2024 left many Chinese scholars, myself included, feeling uncomfortable. As a community, I believe we should take a moment to reflect on why such remarks in public discourse can be offensive and harmful.






Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning ift.tt/aOxXim1



🚨 Natural Sciences Research Showcase is TOMORROW 🚨 ⏰ Remember to join us in the Sir Alexander Fleming Building from 10.00 for a full day of cutting-edge research presentations See our full programme here 🔗 bit.ly/3VrRyN9




Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning ift.tt/aOxXim1




@XingLiu97 is at the Bernoulli-IMS World Congress this week and will be presenting a brand new paper (to appear on arXiv shortly) on robustness in goodness-of-fit testing with kernels (at 11:am in room HZO 90). Go say hi to him if you are there too😀. @InstMathStat @BernoulliSoc







