| Impossibility theorems for feature attribution B Bilodeau, N Jaques, PW Koh, B Kim Proceedings of the National Academy of Sciences, 2024 | 56 | 2024 |
| Minimax rates for conditional density estimation via empirical entropy B Bilodeau, DJ Foster, DM Roy Annals of Statistics, 2023 | 32 | 2023 |
| Tight Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance B Bilodeau, DJ Foster, DM Roy International Conference on Machine Learning, 2020 | 24 | 2020 |
| Adaptively Exploiting d-Separators with Causal Bandits B Bilodeau, L Wang, DM Roy Advances in Neural Information Processing Systems 35, 2022 | 22 | 2022 |
| Don't trust your eyes: on the (un) reliability of feature visualizations R Geirhos, RS Zimmermann, B Bilodeau, W Brendel, B Kim International Conference on Machine Learning, 2024 | 18 | 2024 |
| Stochastic convergence rates and applications of adaptive quadrature in Bayesian inference B Bilodeau, A Stringer, Y Tang Journal of the American Statistical Association, 2022 | 14 | 2022 |
| Relaxing the iid assumption: Adaptively minimax optimal regret via root-entropic regularization B Bilodeau, J Negrea, DM Roy Annals of Statistics, 2023 | 13 | 2023 |
| Minimax optimal quantile and semi-adversarial regret via root-logarithmic regularizers J Negrea, B Bilodeau, N Campolongo, F Orabona, D Roy Advances in Neural Information Processing Systems 34, 2021 | 8 | 2021 |
| Fitting generalized linear mixed models using adaptive quadrature A Stringer, B Bilodeau arXiv preprint arXiv:2202.07864, 2022 | 7 | 2022 |
| High-Priority Expected Waiting Times in the Delayed Accumulating Priority Queue with Applications to Health Care KPIs B Bilodeau, DA Stanford INFOR: Information Systems and Operational Research, 2022 | 6* | 2022 |
| On the Tightness of the Laplace Approximation for Statistical Inference B Bilodeau, Y Tang, A Stringer Statistics and Probability Letters, 2023 | 5 | 2023 |
| Simulated co-location of patients admitted to an inpatient internal medicine teaching unit: Potential impacts on efficiency and physician-nurse collaboration B Bilodeau, DA Stanford, M Goldszmidt, A Appleton INFOR: Information Systems and Operational Research, 2019 | 4 | 2019 |
| Blair Bilodeau's contribution to the Discussion of ‘Assumption-lean inference for generalised linear model parameters’ by Vansteelandt and Dukes B Bilodeau Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 2 | 2022 |
| Contributions to Minimax Statistical Theory B Bilodeau University of Toronto (Canada), 2023 | | 2023 |
Daniel M. RoyResearch Director, Vector Institute; Prof., U. Toronto (Statistics, CS)Verified email at utoronto.ca
