Blair Bilodeau
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Type
Conference Paper
Journal Article
Preprint
Date
2022
2021
2020
2019
Fitting Generalized Linear Mixed Models using Adaptive Quadrature
Alex Stringer
*
,
Blair Bilodeau
*
2022
arXiv Preprint
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arXiv
Code
Adaptively Exploiting d-Separators with Causal Bandits
Blair Bilodeau
,
Linbo Wang
,
Daniel M. Roy
2022
arXiv Preprint
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arXiv
Slides
Code
High-Priority Expected Waiting Times in the Delayed Accumulating Priority Queue with Applications to Health Care KPIs
Blair Bilodeau
,
David A. Stanford
2022
INFOR: Information Systems and Operational Research
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arXiv
Slides
Code
Published Version
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
Jeffrey Negrea
*
,
Blair Bilodeau
*
,
Nicolò Campolongo
,
Francesco Orabona
,
Daniel M. Roy
2021
Neural Information Processing Systems
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arXiv
Slides
Code
Published Version
Minimax Rates for Conditional Density Estimation via Empirical Entropy
Blair Bilodeau
,
Dylan J. Foster
,
Daniel M. Roy
2021
arXiv Preprint
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arXiv
Slides
Talk
Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference
Blair Bilodeau
*
,
Alex Stringer
*
,
Yanbo Tang
*
2021
arXiv Preprint
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arXiv
Poster
Slides
Talk
Code
Relaxing the I.I.D. Assumption: Adaptively Minimax Optimal Regret via Root-Entropic Regularization
Blair Bilodeau
*
,
Jeffrey Negrea
*
,
Daniel M. Roy
2020
arXiv Preprint
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arXiv
Slides
Talk
Tight Bounds on Minimax Regret Under Logarithmic Loss via Self-Concordance
Blair Bilodeau
,
Dylan J. Foster
,
Daniel M. Roy
2020
International Conference on Machine Learning
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arXiv
Poster
Slides
Talk
Published Version
Simulated Co-location of Patients Admitted to an Inpatient Internal Medicine Teaching Unit: Potential Impacts on Efficiency and Physician-Nurse Collaboration
Blair Bilodeau
,
David A. Stanford
,
Mark Goldszmidt
,
Andrew Appleton
2019
INFOR: Information Systems and Operational Research
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Slides
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