Surin Ahn

IEEE Trans. Inf. Theory, July, 2023

Local Model Explanations and Uncertainty Without Model Access.

[BibT_eX]

[DOI]

CoRR, 2023

Noisy Adaptive Group Testing for Community-Oriented Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Estimating Sparse Distributions Under Joint Communication and Privacy Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Adaptive Group Testing on Networks with Community Structure.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Global Multiclass Classification and Dataset Construction via Heterogeneous Local Experts.

[BibT_eX]

[DOI]

Mert Pilanci

IEEE J. Sel. Areas Inf. Theory, 2020

Global Multiclass Classification from Heterogeneous Local Models.

[BibT_eX]

[DOI]

Mert Pilanci

CoRR, 2020

2019

Adaptive AR visual output security using reinforcement learning trained policies: demo abstract.

[BibT_eX]

[DOI]

Joseph DeChicchis

Maria Gorlatova

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

A Group Testing Approach to Random Access for Short-Packet Communication.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Personalized augmented reality via fog-based imitation learning.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Fog Computing and the IoT, 2019

2018

Adaptive Fog-Based Output Security for Augmented Reality.

[BibT_eX]

[DOI]

Proceedings of the 2018 Morning Workshop on Virtual Reality and Augmented Reality Network, 2018

2013

A Powerful Statistical Method for Identifying Differentially Methylated Markers in Complex Diseases.

[BibT_eX]

[DOI]