2 papers
cs.LG2023
Applying statistical learning theory to deep learning
Cédric Gerbelot, Avetik Karagulyan, Stefani Karp +3
Although statistical learning theory provides a robust framework to understand supervised learning, many theoretical aspects of deep learning remain unclear, in particular how diff…
cs.LG2020
Testing Tail Weight of a Distribution Via Hazard Rate
Maryam Aliakbarpour, Amartya Shankha Biswas, Kavya Ravichandran +1
Understanding the shape of a distribution of data is of interest to people in a great variety of fields, as it may affect the types of algorithms used for that data. We study one s…