2 papers
cs.LG2024
The Implicit Bias of Gradient Descent on Separable Multiclass Data
Hrithik Ravi, Clayton Scott, Daniel Soudry +1
Implicit bias describes the phenomenon where optimization-based training algorithms, without explicit regularization, show a preference for simple estimators even when more complex…
stat.ML2023
Unified Binary and Multiclass Margin-Based Classification
Yutong Wang, Clayton Scott
The notion of margin loss has been central to the development and analysis of algorithms for binary classification. To date, however, there remains no consensus as to the analogue…