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Ryan Pilgrim

2 accepted papers

2023

Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI

NeurIPS 2023spotlight

Information Pursuit (IP) is a classical active testing algorithm for predicting an output by sequentially and greedily querying the input in order of information gain. However, IP is computationally intensive since it involves estimating mutual information in high-dimensional spaces. This paper expl…

2022

Neural Tangent Kernel Empowered Federated Learning

ICML 2022spotlight

Federated learning (FL) is a privacy-preserving paradigm where multiple participants jointly solve a machine learning problem without sharing raw data. Unlike traditional distributed learning, a unique characteristic of FL is statistical heterogeneity, namely, data distributions across participants…