Speaker:
Yiding Jiang
Talk Title:
The Current and New Frontiers of Generalization
Date and Location:
Thursday, February 27, 2025
, BA 3200
This lecture is open to the public. No registration is required, but space is limited.
Abstract:
Generalization is a fundamental property of machine learning problems. In the first part of this talk, I will examine the limitations of current theories for understanding generalization in deep neural networks and present new approaches for evaluating generalization error. In the second part, I will discuss how effective exploration strategies can improve generalization across diverse scenarios鈥攊ncluding reinforcement learning in changing environments and language model pretraining.
About Yiding Jiang:
Yiding Jiang is a fifth-year PhD student at the Machine Learning 海角视频 of Carnegie Mellon University, advised by Zico Kolter. His research is focused on foundations of deep learning and reinforcement learning with a focus on generalization and exploration. His contributions have been recognized with the Google PhD Fellowship.