🚀 Exciting news: My new website is live! 🎉 Check it out here: https://t.co/HEPvodK2xd 🌟
P.S. I've been dealing with email glitches lately. If you're waiting for a reply from me and haven’t received it, please drop me a message. Apologies for the hiccup! 🙏
🚀 Call for Papers: Special Issue on Frontiers in Statistical Learning: Data, Networks, and Knowledge Transfer
Journal: Statistical Learning and Data Science (SLADS)
📅 Submission Deadline: March 31, 2026
👨🎓 Guest Editors: Yang Feng, Guangming Pan, Jiaming Xu, Emma Zhang
Join us for SLDS 2026, the flagship conference of the ASA Section on Statistical Learning and Data Science!
📅 Nov 1–3, 2026
📍 Marriott at the Brooklyn Bridge, New York City
🔗 https://t.co/rXuAiAloll📷
@AmstatNews @AmstatLearn @nyupublichealth@NYUDataScience@nyupublichealth
New paper on causal inference: Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment https://t.co/lQcDfsxJwf
@NYUGPHBiostats@nyupublichealth@NYUDataScience@nyulangone
CDS-affiliated Professor Yang Feng (@yangfengstat) introduced new algorithms that can control different types of errors independently.
Published in JASA, the work provides tools for applications like loan default prediction where some mistakes matter more than others.
Sharing a new work on Neyman-Pearson classification problem via cost-sensitive learning. @NYUGPHBiostats@nyupublichealth@NYUDataScience
Neyman-Pearson Multi-class Classification via Cost-sensitive Learning: (JASA) https://t.co/PPjQYHHblh
Thrilled to receive the 2024 NYU GPH Teaching Excellence Award. Many thanks to my students for your support and nomination! @NYUGPHBiostats@nyupublichealth
🎉 Super excited to share that our paper “Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms” (https://t.co/VogAJJXcNA) was accepted to #ICML2024@nyupublichealth@NYUGPHBiostats@NYUDataScience
New manuscript "Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness against Adversarial Attacks" #MachineLearning#DataScience#adversarial#federatedlearning
https://t.co/VogAJJXcNA
Oct 26 at 9pm EST, I will host an information session over Zoom on the Ph.D. in Public Health with Biostatistics concentration at NYU. @NYUGPHBiostats@nyupublichealth@NYUDataScience
Register Below:
https://t.co/NV4AKNKUaM