Research

Entity resolution

• Binette, O. and Steorts, R. C. (2020) (Almost) All of Entity Resolution. arXiv e-prints. arxiv:2008.04443 [pdf]

Multiple systems estimation

• Binette, O. and Steorts, R. C. (2020) Discussion of read paper “Multiple-systems analysis for the quantification of modern slavery: classical and Bayesian approaches” by Bernard Silverman. Journal of the Royal Statistical Society Series A 183 (3). pp. 35 [link]

Bayesian nonparametrics

• Binette, O. (2019). A Note on Reverse Pinsker Inequalities. IEEE Transactions on Information Theory 65 (7). pp.4094-4096. [pdf]

• Binette, O. and Guillotte, S. (2019). Bayesian Nonparametrics for Directional Statistics. arXiv e-prints. arxiv:1807.00305. [pdf]

• Binette, O. and Pati, D. and Dunson, D. B. (2020) Bayesian Closed Surface Fitting Through Tensor Products. Journal of Machine Learning Research 21 (119) pp. 1-26 [pdf]

Side projects

• Binette, O. (2018). Topology and Machine Learning. Notes from the Margin 13. pp. 5-6. [link]

• Binette, O. and Luo, L. An Analysis of Gibbs Posterior Concentration in Terms of the Separation \(\alpha\)-Entropy. Objective Bayes Conference (poster presentation). Warwick (United Kingdom). June 28, 2019. [pdf]

• Binette, O. and Coache, A. The Significance of the Adjusted R Squared. (Bio)Statistics Research Day (poster presentation). Montréal (Canada). September 21, 2018. [pdf]

• Binette, O. Classification and Topology, or Consequences of Sobolev Consistency. Canadian Statistics Student Conference (poster presentation). Montréal (Canada). June 2, 2018. (Best poster award) [pdf]