Michael Oberst
Massachusetts Institute of Technology
H-index: 6
North America-United States
Top articles of Michael Oberst
Benchmarking observational studies with experimental data under right-censoring
2024/4/18
Edward De Brouwer
H-Index: 4
Zeshan M Hussain
H-Index: 4
Michael Oberst
H-Index: 2
David Sontag
H-Index: 38
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
2023/5
Stefan Hegselmann
H-Index: 4
Helen Zhou
H-Index: 2
Yuyin Zhou
H-Index: 16
Sujay Nagaraj
H-Index: 4
Michael Oberst
H-Index: 2
Wisdom Ikezogwo
H-Index: 1
Monica Agrawal
H-Index: 5
Changye Li
H-Index: 0
Peniel Argaw
H-Index: 0
Arpita Biswas
H-Index: 8
Mehak Gupta
H-Index: 1
Yuhui Zhang
H-Index: 5
Christian Garbin
H-Index: 5
Elizabeth Healey
H-Index: 1
Heejong Kim
H-Index: 2
Roxana Daneshjou
H-Index: 12
Siyu Shi
H-Index: 13
Edwin Fong
H-Index: 2
Aakanksha Naik
H-Index: 4
Ben Lengerich
H-Index: 7
Ying Xu
H-Index: 35
Jonathan Bidwell
H-Index: 8
Nathaniel Hendrix
H-Index: 5
Dimitris Spathis
H-Index: 7
Shalmali Joshi
H-Index: 7
Falsification of internal and external validity in observational studies via conditional moment restrictions
2023/4/11
Michael Oberst
H-Index: 2
David Sontag
H-Index: 38
Towards Rigorously Tested & Reliable Machine Learning for Health
2023
Falsification before Extrapolation in Causal Effect Estimation
Advances in Neural Information Processing Systems
2022/12/6
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets
Advances in Neural Information Processing Systems
2022/12/6
Michael Oberst
H-Index: 2
David Sontag
H-Index: 38
Understanding the risks and rewards of combining unbiased and possibly biased estimators, with applications to causal inference
arXiv preprint arXiv:2205.10467
2022/5/21
Finding regions of heterogeneity in decision-making via expected conditional covariance
Advances in Neural Information Processing Systems
2021/12/6
Regularizing towards causal invariance: Linear models with proxies
2021/7/1
Trajectory inspection: A method for iterative clinician-driven design of reinforcement learning studies
AMIA Summits on Translational Science Proceedings
2021
A decision algorithm to promote outpatient antimicrobial stewardship for uncomplicated urinary tract infection
Science translational medicine
2020/11/4
Predicting human health from biofluid-based metabolomics using machine learning
Scientific Reports
2020
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes
2020/8/23
Machine Learning for Health (ML4H) 2019: What Makes Machine Learning in Medicine Different?
2020/4/30
Characterization of Overlap in Observational Studies
2020/6/3
Michael Oberst
H-Index: 2
Fredrik Johansson
H-Index: 10
Tian Gao
H-Index: 3
Gabriel Brat
H-Index: 14
David Sontag
H-Index: 38