( en | de | ru )

 

Disambiguation of "D'Amour, Alexander"

Author of the publication

copydeleteadd this publication to your clipboard
Underspecification Presents Challenges for Credibility in Modern Machine Learning

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . CoRR, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Alexander

Alexander Stadler

Messtechnische Bestimmung und Simulation der Kernverluste in weichmagnetischen Materialien. Uni Erlangen-Nürnberg, (2009)

Alexander Auch

A phylogenetic potpourri: computational methods for analysing genome scale data. Uni Tübingen, (2010)

Alexander Blecken

A reference task model for supply chain processes of humanitarian organisations. Uni Paderborn, (2009)

Alexander Gocht

Methods in economic farm modelling. Uni Bonn, (2009)
 

Other publications of authors with the same name

Boosting the interpretability of clinical risk scores with intervention predictions., , , , , , , , , and 1 other author(s). CoRR, (2022)CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?, , , , , and . CoRR, (2024)Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation., , , and . CoRR, (2024)Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 3608-3626. PMLR, (2022)Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests., , , and . CoRR, (2021)On Multi-Cause Approaches to Causal Inference with Unobserved Counfounding: Two Cautionary Failure Cases and A Promising Alternative.. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 3478-3486. PMLR, (2019)Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models., , , and . CD@KDD, volume 104 of Proceedings of Machine Learning Research, page 50-58. PMLR, (2019)Adapting to Latent Subgroup Shifts via Concepts and Proxies., , , , , , , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 9637-9661. PMLR, (2023)On Robustness and Transferability of Convolutional Neural Networks., , , , , , , , , and 4 other author(s). CoRR, (2020)Fairness and robustness in anti-causal prediction., and . CoRR, (2022)