## 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