Michael Oberst
11 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(6)
🐝
Cross-Pollinator
(12)
🧬
Topic Evolution
🏆
Keyword Champion
(3)
🔥
Unstoppable
(7)
💎
Century Club
(11)
❓
The Questioner
🗃️
Keyword Collector
(53)
Conferences
AISTATS (4)
NIPS (3)
ICML (2)
EMNLP (1)
UAI (1)
Top co-authors
Keywords
causal inference
(6)
randomized controlled trial
(3)
observational study
(3)
off-policy evaluation
(2)
doubly robust estimator
(2)
structural causal model
(2)
domain adaptation
(1)
distribution shift
(1)
sequential decision-making
(1)
partially observable markov decision process
(1)
importance sampling
(1)
worst-case optimization
(1)
minimum volume sets
(1)
risk estimation
(1)
algorithmic fairness
(1)
treatment effect estimation
(1)
parametric model
(1)
causal effect estimation
(1)
vision-language model
(1)
dataset shift
(1)
Papers
Just Trial Once: Ongoing Causal Validation of Machine Learning Models
UAI 2025
Benchmarking Observational Studies with Experimental Data under Right-Censoring
AISTATS 2024
Auditing Fairness under Unobserved Confounding
AISTATS 2024
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
EMNLP 2024
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions
AISTATS 2023
Falsification before Extrapolation in Causal Effect Estimation
NIPS 2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets
NIPS 2022
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
NIPS 2021
Regularizing towards Causal Invariance: Linear Models with Proxies
ICML 2021
Characterization of Overlap in Observational Studies
AISTATS 2020
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models
ICML 2019