Blair Bilodeau
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Type
Conference Paper
Journal Article
Date
2025
2024
2023
2022
2021
2020
2019
Asymptotics of Numerical Integration for Two-Level Mixed Models
(A)
Blair Bilodeau
,
Alex Stringer
,
Yanbo Tang
2025
Bernoulli (to appear)
Cite
arXiv
Code
Don't Trust Your Eyes: On the (Un)reliability of Feature Visualizations
*
Robert Geirhos
,
*
Roland S. Zimmermann
,
*
Blair Bilodeau
,
Wieland Brendel
,
Been Kim
2024
International Conference on Machine Learning
Cite
arXiv
Code
Published Version
Impossibility Theorems for Feature Attribution
Blair Bilodeau
,
Natasha Jaques
,
Pang Wei Koh
,
Been Kim
2024
Proceedings of the National Academy of Sciences
Cite
arXiv
Poster
Code
Published Version
Relaxing the I.I.D. Assumption: Adaptively Minimax Optimal Regret via Root-Entropic Regularization
*
Blair Bilodeau
,
*
Jeffrey Negrea
,
Daniel M. Roy
2023
Annals of Statistics
Cite
arXiv
Slides
Talk
Code
Published Version
Minimax Rates for Conditional Density Estimation via Empirical Entropy
Blair Bilodeau
,
Dylan J. Foster
,
Daniel M. Roy
2023
Annals of Statistics
Cite
arXiv
Slides
Talk
Published Version
On the Tightness of the Laplace Approximation for Statistical Inference
Blair Bilodeau
,
Yanbo Tang
,
Alex Stringer
2023
Statistics & Probability Letters
Cite
arXiv
Published Version
Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference
(A)
Blair Bilodeau
,
Alex Stringer
,
Yanbo Tang
2022
Journal of the American Statistical Association
Cite
arXiv
Poster
Slides
Talk
Code
Published Version
Adaptively Exploiting d-Separators with Causal Bandits
Blair Bilodeau
,
Linbo Wang
,
Daniel M. Roy
2022
Neural Information Processing Systems
(Oral)
Cite
arXiv
Poster
Slides
Code
Published Version
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
Cite
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
Cite
arXiv
Slides
Code
Published Version
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
Cite
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
Cite
PDF
Slides
Code
Published Version
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