Ruocheng Guo

Intuit AI is looking for a summer intern with strong experience in LLM decoding related research. Location: Mountain View Feel free to DM your resume to me.

IEEE DSAA'25 seeks reviewers! The conference bridges stats, computing, and intelligence sciences, fostering academia-industry collaboration in data science and analytics. If you're in a related field, pls consider volunteering! Google Form: docs.google.com/forms/d/e/1FAI…

I didn't see the talk, but the images I've seen of the slide seem quite offensive. Such generalizations should have no place in NeurIPS or anywhere else.

Racism is not allowed in ML/AI conferences, because we, reviewers, authors, audiences and organizers from all over the world work together make it happen. Racism from @RosalindPicard is harmful for our community, @NeurIPSConf must take this seriously to protect the community.

It is just so sad that the #NeurIPS2024 main conference ended with such a racist remark by a faculty when talking about ethics. How ironic! I also want to commend the Chinese student who spoke up right on spot. She was respectful, decent, and courageous. Her response was…

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

Here is the message from Peter and Steve the two professors at Stanford: If you want to directly endorse the Stanford letter, please do it at this new google form forms.gle/HMmBsK7ESgK5X1… Please feel free to share this Google Form link with your colleagues.

Conformal prediction + causality = winning 🏆 combination. Great to see the original transductive form of conformal prediction in action. ”Conformal Counterfactual Inference under Hidden Confounding” another great paper from ByteDance Research. “Personalized decision making…

I'm at ICLR'24 In poster session 10:45-12:45 May 8th, I will present our work Fair Classifiers that Abstain without Harm (arxiv.org/pdf/2310.06205). I will also talk about conformal prediction/causal inference at the ByteDance Booth. If you are around let's meet!

The top-tier IR/Data Mining conference CIKM'24 is recruiting reviewers, please DM me with a link to your Google scholar if you are interested.

Honored to be selected as a AAAI24 New Faculty Highlights speaker @RealAAAI aaai.org/aaai-conferenc…. Will introduce my work on causal inference and graph ML at #AAAI Will also attend #NeurIPS on Dec 12-15. I am looking for PhD students @cwru in 2024Fall. Happy to catch up there!

Happy to find I am selected as one of the top reviewers in Neurips'23 along with many of our teammates from ByteDance Research @BytedanceTalk. neurips.cc/Conferences/20…

We are hiring!!! If you are interested in a robust and trustworthy development of ML aligned with societal values and needs, apply and join myself and my group as PhD student!! More info about the group and available positions here: machinelearning.uni-saarland.de

Lol who did this

Neurips reviewer: you did not compare with a baseline method A. However, A solves a completely different problem...

Please check out our recent work on trustworthy LLMs. We consider 7 pillars: Reliability, Safety, Fairness, Resistance to Misuse, Explanability and Reasoning, Social Norm, and Robustness. We show evaluation results on 9 specific tasks to cover the 7 pillars.

I will talk about our recent work on conformal prediction and causal inference for responsible recommendation on this Friday in the #AI Seminar of @USC_ISI Looking forward to discussing with you!

Tomorrow at EAI-KDD'23, I will present Fair Learning to Rank with Distribution-free Risk Control We propose a method to transform any deterministic rankers to a stochastic one for item exposure fairness with finite-sample utility guarantees. 10:20 am – 11:25 am at room Grand A