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Contributed Papers

Quantum Computing IG Contributed

Wed, Aug 5, 10:30 AM - 12:20 PM Room CC-108 Thomas M. Menino Convention & Exhibition Center

Swarnali RahaChair

Quantum Computing in Statistics and Machine Learning Interest Group

3 Presentations

Multiclass Recalibration of Probability Predictions via the Linear Log Odds Calibration Function

10:50 AM - 11:05 AM

Amy Vennos (Virginia Tech Department of Statistics)

Co-authors: Christopher Franck (Virginia Tech), Xin Xing (Virginia Tech)

Multiclass Classification Calibration Machine Learning Confidence Scores Likelihood Ratio Test

Quantum Synthetic Data Generation for Structured Health Data

11:05 AM - 11:20 AM

John Riddles (Westat)

Co-authors: Rahul Shrivastava (Westat), Jeremy Corry (Westat), Sean Chickery (Westat), Eric Pan (Westat), Kevin Wilson, Fatih Selekler (Westat)

pharmacovigilance generative adversarial networks FAERS

Scalable Fully Bayesian Framework for Gaussian Process Model with Built-in Input Dimension Reduction

10:35 AM - 10:50 AM

Eric Herrison Gyamfi (University of Cincinnati)

Co-authors: Emily Kang (University of Cincinnati), Bledar Konomi (University of Cincinnati), Guang Lin

Bayesian inference Dimension reduction Deep Gaussian processes Hamiltonian Monte Carlo Uncertainty quantification Vecchia approximation

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