3 papers
cs.LG2024
Low Rank Multi-Dictionary Selection at Scale
Boya Ma, Maxwell McNeil, Abram Magner +1
The sparse dictionary coding framework represents signals as a linear combination of a few predefined dictionary atoms. It has been employed for images, time series, graph signals…
stat.ML2023
Fat Shattering, Joint Measurability, and PAC Learnability of POVM Hypothesis Classes
Abram Magner, Arun Padakandla
We characterize learnability for quantum measurement classes by establishing matching necessary and sufficient conditions for their PAC learnability, along with corresponding sampl…
cs.LG2023
Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures
Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh
Graph summarization is the problem of producing smaller graph representations of an input graph dataset, in such a way that the smaller compressed graphs capture relevant structura…