70 citations · 293 across the 70 of their papers we have counts for
6 papers · 1 filter
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks
Marguerite B. Basta, Sarfaraz Hussein, Hsiang Hsu +1
Lung cancer is the leading cause of cancer related mortality by a significant margin. While new technologies, such as image segmentation, have been paramount to improved detection…
The Saddle-Point Accountant for Differential Privacy
Wael Alghamdi, Shahab Asoodeh, Flavio P. Calmon +4
We introduce a new differential privacy (DP) accountant called the saddle-point accountant (SPA). SPA approximates privacy guarantees for the composition of DP mechanisms in an acc…
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Behrooz Razeghi, Flavio P. Calmon, Deniz Gunduz +1
Bottleneck problems are an important class of optimization problems that have recently gained increasing attention in the domain of machine learning and information theory. They ar…
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime
Wael Alghamdi, Shahab Asoodeh, Flavio P. Calmon +3
Most differential privacy mechanisms are applied (i.e., composed) numerous times on sensitive data. We study the design of optimal differential privacy mechanisms in the limit of a…
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction
Wael Alghamdi, Hsiang Hsu, Haewon Jeong +4
We consider the problem of producing fair probabilistic classifiers for multi-class classification tasks. We formulate this problem in terms of "projecting" a pre-trained (and pote…
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
Hsiang Hsu, Flavio du Pin Calmon
Predictive multiplicity occurs when classification models with statistically indistinguishable performances assign conflicting predictions to individual samples. When used for deci…