Alexandre Bayle

I am a third-year PhD student in the Department of Statistics at Harvard University, where I am fortunate to be advised by Professor Lucas Janson. My research interests lie at the intersection of statistics, machine learning and probability. Prior to Harvard, I received my M.S. (Ingénieur Polytechnicien Program) from the École Polytechnique with a specialization in Applied Mathematics and Computer Science.

Publications

Pierre Bayle, Alexandre Bayle, Lucas Janson, and Lester Mackey (2020). Cross-validation Confidence Intervals for Test Error. In Advances in Neural Information Processing Systems (NeurIPS), pages 16339–16350. [arXiv] [NeurIPS] [code] [slides] [poster]

Selected Talks

Cross-validation Confidence Intervals for Test Error

ICML 2021, workshop on “Distribution-Free Uncertainty Quantification”, poster session, July 2021

Bernoulli-IMS 10th World Congress, poster session, July 2021

NeurIPS 2020, poster session, December 2020

Bernoulli-IMS One World Symposium 2020, “Statistical methods in Machine Learning”, August 2020

Teaching

Harvard University

Introduction to Statistical Inference (STAT 111), teaching assistant, Spring 2021

Statistical Machine Learning (STAT 195), teaching assistant, Fall 2020