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Statistical Laboratory

Publications

The Many Faces of Adversarial Risk: An Expanded Study
MS Pydi, V Jog
– IEEE Transactions on Information Theory
(2023)
70,
550
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints
A Pensia, AR Asadi, V Jog, P-L Loh
– Proceedings of Machine Learning Research
(2023)
195,
3229
Unifying the Brascamp-Lieb Inequality and the Entropy Power Inequality
V Anantharam, V Jog, C Nair
– IEEE Transactions on Information Theory
(2022)
68,
7665
Simple Binary Hypothesis Testing under Communication Constraints
A Pensia, P-L Loh, V Jog
– IEEE International Symposium on Information Theory Proceedings
(2022)
2022-June,
3297
Robustifying Deep Networks for Medical Image Segmentation
Z Liu, J Zhang, V Jog, P-L Loh, AB McMillan
– Journal of Digital Imaging
(2021)
34,
1279
Reverse Euclidean and Gaussian Isoperimetric Inequalities for Parallel Sets With Applications
V Jog
– IEEE Transactions on Information Theory
(2021)
67,
6368
Adversarial Risk via Optimal Transport and Optimal Couplings
MS Pydi, V Jog
– IEEE Transactions on Information Theory
(2021)
67,
6031
Estimating location parameters in sample-heterogeneous distributions
A Pensia, V Jog, P-L Loh
– Information and Inference: A Journal of the IMA
(2021)
11,
959
The Many Faces of Adversarial Risk
MS Pydi, V Jog
– ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021)
(2021)
Teaching and Learning in Uncertainty
V Jog, P-L Loh
– IEEE Transactions on Information Theory
(2020)
67,
598
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