Guillaume Basse
Guillaume Basse
Assistant Professor, MS&E and Statistics, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Model-assisted design of experiments in the presence of network-correlated outcomes
GW Basse, EM Airoldi
Biometrika 105 (4), 849-858, 2018
45*2018
Analyzing two-stage experiments in the presence of interference
G Basse, A Feller
Journal of the American Statistical Association 113 (521), 41-55, 2018
382018
Randomization tests of causal effects under interference
GW Basse, A Feller, P Toulis
Biometrika 106 (2), 487-494, 2019
29*2019
Limitations of design-based causal inference and A/B testing under arbitrary and network interference
GW Basse, EM Airoldi
Sociological Methodology 48 (1), 136-151, 2018
102018
Analyzing multilevel experiments in the presence of peer effects
G Basse, A Feller
arXiv preprint arXiv 1608, 2016
62016
Randomization and the pernicious effects of limited budgets on auction experiments
GW Basse, HA Soufiani, D Lambert
Artificial Intelligence and Statistics, 1412-1420, 2016
62016
Deconstructing claims of post-treatment bias in observational studies of discrimination
J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill
arXiv preprint arXiv:2006.12460, 2020
52020
Combining Observational and Experimental Datasets Using Shrinkage Estimators
E Rosenman, G Basse, A Owen, M Baiocchi
arXiv preprint arXiv:2002.06708, 2020
32020
A graph-theoretic approach to randomization tests of causal effects under general interference
D Puelz, G Basse, A Feller, P Toulis
arXiv preprint arXiv:1910.10862, 2019
32019
Minimax Crossover Designs
G Basse, Y Ding, P Toulis
arXiv preprint arXiv:1908.03531, 2019
22019
Randomization tests for peer effects in group formation experiments
G Basse, P Ding, A Feller, P Toulis
arXiv preprint arXiv:1904.02308, 2019
22019
Parallel Markov chain Monte Carlo via spectral clustering
G Basse, A Smith, N Pillai
Artificial intelligence and statistics, 1318-1327, 2016
22016
Observational studies with unknown time of treatment
GW Basse, A Volfovsky, EM Airoldi
arXiv preprint arXiv:1601.04083, 2016
22016
Under confounding, KLM conditions are not necessary for consistency (Version 2)
J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill
12020
The Generalized Oaxaca-Blinder Estimator
K Guo, G Basse
arXiv preprint arXiv:2004.11615, 2020
12020
A general theory of identification
G Basse, I Bojinov
arXiv preprint arXiv:2002.06041, 2020
12020
Conditional As-If Analyses in Randomized Experiments
NE Pashley, GW Basse, LW Miratrix
arXiv preprint arXiv:2008.01029, 2020
2020
Growing together: assessing the peer-effects of a growth mindset intervention.(Tech Report)
G Basse
OSF Preprints, 2020
2020
Under confounding, KLM conditions are not necessary for consistency
J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill
2020
New Frontiers in Causal Inference: Learning From Experiments in a Connected World
GW Basse
2018
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