13 citations · 26 across the 9 of their papers we have counts for
6 papers · 1 filter
Information Compression in the AI Era: Recent Advances and Future Challenges
Jun Chen, Yong Fang, Ashish Khisti +3
This survey articles focuses on emerging connections between the fields of machine learning and data compression. While fundamental limits of classical (lossy) data compression are…
Lower Bounds on Distributed Estimation via Fisher Information
Wei-Ning Chen, Ayfer Özgür
Van Trees inequality, also known as the Bayesian Cramér-Rao lower bound, is a powerful tool for establishing lower bounds for minimax estimation through Fisher information. It easi…
Minimax Bounds for Distributed Logistic Regression
Leighton Pate Barnes, Ayfer Ozgur
We consider a distributed logistic regression problem where labeled data pairs for are distributed across multiple machines…
Lower Bounds for Learning Distributions under Communication Constraints via Fisher Information
Leighton Pate Barnes, Yanjun Han, Ayfer Ozgur
We consider the problem of learning high-dimensional, nonparametric and structured (e.g. Gaussian) distributions in distributed networks, where each node in the network observes an…
Feedback through Overhearing
Jinyuan Chen, Ayfer Ozgur, Suhas Diggavi
In this paper we examine the value of feedback that comes from overhearing, without dedicated feedback resources. We focus on a simple model for this purpose: a deterministic two-h…
Near Optimal Energy Control and Approximate Capacity of Energy Harvesting Communication
Yishun Dong, Farzan Farnia, Ayfer Özgür
We consider an energy-harvesting communication system where a transmitter powered by an exogenous energy arrival process and equipped with a finite battery of size commun…