Felix Yu
I work on large-scale machine learning at Google. More info can be found at www.felixyu.org.
Research Areas
Authored Publications
Sort By
Google
Better autoregressive regression with LLMs via regression-aware fine-tuning
Zhao Meng
Aditya Menon
The Thirteenth International Conference on Learning Representations (2025)
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
Lin Chen
Aditya Menon
Forty-second International Conference on Machine Learning (2025)
Serving Graph Compression for Graph Neural Networks
Cho-Jui Hsieh
International Conference on Learning Representations (ICLR) (2023)
On Emergence of Activation Sparsity in Trained Transformers
Zonglin Li
Chong You
Daliang Li
Ke Ye
International Conference on Learning Representations (ICLR) (2023)
A Field Guide to Federated Optimization
Jianyu Wang
Zheng Xu
Gauri Joshi
Maruan Al-Shedivat
Galen Andrew
A. Salman Avestimehr
Katharine Daly
Deepesh Data
Suhas Diggavi
Hubert Eichner
Advait Gadhikar
Antonious M. Girgis
Filip Hanzely
Chaoyang He
Samuel Horvath
Martin Jaggi
Tara Javidi
Satyen Chandrakant Kale
Sai Praneeth Karimireddy
Jakub Konečný
Sanmi Koyejo
Tian Li
Peter Richtarik
Karan Singhal
Virginia Smith
Mahdi Soltanolkotabi
Weikang Song
Sebastian Stich
Ameet Talwalkar
Hongyi Wang
Blake Woodworth
Honglin Yuan
Manzil Zaheer
Mi Zhang
Tong Zhang
Chunxiang (Jake) Zheng
Chen Zhu
arxiv (2021)
RankDistil: Distillation for Ranking
Aditya Krishna Menon
Seungyeon Kim
AISTATS 2021 (2021)
Disentangling sampling and labeling bias for learning in large-output spaces
Aditya Krishna Menon
Sadeep Jayasumana
International Conference on Machine Learning (ICML) 2021
