Publications

Blair Bilodeau, Dylan J. Foster, Daniel M. Roy (2021). Minimax Rates for Conditional Density Estimation via Empirical Entropy. In preparation.

Blair Bilodeau^*, Alex Stringer^*, Yanbo Tang^* (2021). Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference. arXiv Preprint.

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Blair Bilodeau^*, Jeffrey Negrea^*, Daniel M. Roy (2020). Relaxing the I.I.D. Assumption: Adaptively Minimax Optimal Regret via Root-Entropic Regularization. arXiv Preprint.

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Blair Bilodeau, Dylan J. Foster, Daniel M. Roy (2020). Tight Bounds on Minimax Regret Under Logarithmic Loss via Self-Concordance. International Conference on Machine Learning.

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Blair Bilodeau, David A. Stanford (2020). High-Priority Expected Waiting Times in the Delayed Accumulating Priority Queue with Applications to Health Care KPIs. arXiv Preprint.

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Blair Bilodeau, David A. Stanford, Mark Goldszmidt, Andrew Appleton (2019). Simulated Co-location of Patients Admitted to an Inpatient Internal Medicine Teaching Unit: Potential Impacts on Efficiency and Physician-Nurse Collaboration. INFOR: Information Systems and Operational Research.

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