Yadi Wei

Hello, I am a computer science Ph.D. student in Indiana University Bloomington. And I am luckily advised by Roni Khardon.

I am interested in both theoretical and practical aspects of various machine learning models. Currently I am working on uncertainty quantification of deep learning.

Education

Ph.D. in Computer Science, Indiana University Bloomington, 2017-Present

B.S. in Computer Science and Technology, Nanjing University, 2013-2017

Publications

• Y. Wei and R. Khardon, Variational Inference on the Final-Layer Output of Neural Networks, TMLR, 2024

• Y. Wei and R. Khardon, On the Performance of Direct Loss Minimization for Bayesian Neural Networks, I Cant Believe Its Not Better Workshop: Understanding Deep Learning Through Empirical Falsification, 2022

• Y. Wei, R. Sheth, and R. Khardon, Direct Loss Minimization for Sparse Gaussian Processes, The International Conference on Artificial Intelligence and Statistics (AISTATS), 2021

• J. Peng, Y. Qin, Y. Wei and Y. Zhou, A PTAS for the Bayesian Thresholding Bandit Problem, The International Conference on Artificial Intelligence and Statistics (AISTATS), 2020