Guillaume Basse
Update: I will start as a Quantitative Researcher at Citadel Securities in
London in July 2021!
I was an Assistant Professor at Stanford in the MS&E and Statistics departments
between 2019 and 2021, and before that, I spent a year at Berkeley as a Postdoc. I
got my PhD in Statistics from Harvard in 2018. Here are my CV
and Github repo.
Preprints
- Kevin Guo and Guillaume W. Basse - The generalized Oaxaca-Blinder estimator (2020+)
- Evan Rosenman, Guillaume W. Basse, Art Owen and Mike Baiocchi - Combining observational and experimental datasets using shrinkage estimators (2020+)
- Guillaume W. Basse and Iavor Bojinov - A General theory of identification (2020+)
- David Puelz, Guillaume W. Basse, Avi Feller and Panos Toulis - A graph-theoretic approach to randomization tests of causal effects under general interference (2019+)
- Guillaume W. Basse, Yi Ding and Panos Toulis - Minimax crossover designs (2019+)
- Guillaume W. Basse, Peng Ding, Avi Feller and Panos Toulis - Randomization tests for peer effects in group formation experiments (2019+)
Publications
- Guillaume W. Basse, Panos Toulis and Avi Feller - Exact tests for two-stage randomized designs in the presence of interference (Biometrika 2019)
- Guillaume W. Basse and Avi Feller - Analyzing two-stage experiments in the presence of interference (JASA 2018)
- Guillaume W. Basse and Edo Airoldi - Model-assisted design of experiments in the presence of network-correlated outcomes (Biometrika 2018)
- Guillaume W. Basse and Edo Airoldi - Limitations of design-based causal inference and A/B testing under arbitrary and network interference (Sociological Methodology 2018)
- Guillaume W. Basse, Hossein Azari Soufiani and Diane Lambert - Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments (AISTATS 2016)
- Guillaume W. Basse, Natesh Pillai and Aaron Smith - Parallel Markov Chain Monte Carlo via Spectral Clustering (AISTATS 2016)