Michael Oberst
Michael Oberst
Verified email at mit.edu - Homepage
Cited by
Cited by
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models
M Oberst, D Sontag
International Conference on Machine Learning (ICML) 2019, 2019
Characterization of Overlap in Observational Studies
M Oberst, FD Johansson, D Wei, T Gao, G Brat, D Sontag, KR Varshney
23rd International Conference on Artificial Intelligence and Statistics …, 2020
A decision algorithm to promote outpatient antimicrobial stewardship for uncomplicated urinary tract infection
S Kanjilal, M Oberst, S Boominathan, H Zhou, DC Hooper, D Sontag
Science Translational Medicine 12 (568), 2020
Machine Learning for Health (ML4H) 2019: What Makes Machine Learning in Medicine Different?
AV Dalca, MBA McDermott, E Alsentzer, SG Finlayson, M Oberst, F Falck, ...
Machine Learning for Health Workshop, 1-9, 2020
Predicting human health from biofluid-based metabolomics using machine learning
ED Evans, C Duvallet, ND Chu, MK Oberst, MA Murphy, I Rockafellow, ...
Scientific reports 10 (1), 1-13, 2020
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes
S Boominathan, M Oberst, H Zhou, S Kanjilal, D Sontag
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
Regularizing towards Causal Invariance: Linear Models with Proxies
M Oberst, N Thams, J Peters, D Sontag
arXiv preprint arXiv:2103.02477, 2021
Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies
CX Ji, M Oberst, S Kanjilal, D Sontag
arXiv preprint arXiv:2010.04279, 2020
Counterfactual policy introspection using structural causal models
MK Oberst
Massachusetts Institute of Technology, 2019
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