Alexander D'Amour
Orcid: 0000-0001-7984-3366
According to our database1,
Alexander D'Amour
authored at least 38 papers
between 2017 and 2024.
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Bibliography
2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.
CoRR, 2023
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
J. Mach. Learn. Res., 2022
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations.
CoRR, 2022
CoRR, 2022
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?
CoRR, 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests.
CoRR, 2021
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
CoRR, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Fairness is not static: deeper understanding of long term fairness via simulation studies.
Proceedings of the FAT* '20: Conference on Fairness, 2020
2019
A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro Data.
CoRR, 2019
On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives.
CoRR, 2019
Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models.
Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, 2019
On Multi-Cause Approaches to Causal Inference with Unobserved Counfounding: Two Cautionary Failure Cases and A Promising Alternative.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017