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Christina Heinze-Deml
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2020 – today
- 2024
- [i8]Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley Ren, Udhay Nallasamy, Andy Miller, Kwan Ho Ryan Chan, Jaya Narain:
Do LLMs "know" internally when they follow instructions? CoRR abs/2410.14516 (2024) - [i7]Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain:
Do LLMs estimate uncertainty well in instruction-following? CoRR abs/2410.14582 (2024) - [i6]Arno Blaas, Adam Golinski, Andrew C. Miller, Luca Zappella, Jörn-Henrik Jacobsen, Christina Heinze-Deml:
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare. CoRR abs/2410.19575 (2024) - 2021
- [j1]Christina Heinze-Deml
, Nicolai Meinshausen:
Conditional variance penalties and domain shift robustness. Mach. Learn. 110(2): 303-348 (2021) - 2020
- [c4]Juan Gamella, Christina Heinze-Deml:
Active Invariant Causal Prediction: Experiment Selection through Stability. NeurIPS 2020 - [i5]Christina Heinze-Deml, Diane Bouchacourt:
Think before you act: A simple baseline for compositional generalization. CoRR abs/2009.13962 (2020)
2010 – 2019
- 2019
- [c3]Fanny Yang, Zuowen Wang, Christina Heinze-Deml:
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness. NeurIPS 2019: 14757-14768 - [i4]Fanny Yang, Zuowen Wang, Christina Heinze-Deml:
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness. CoRR abs/1906.11235 (2019) - 2017
- [i3]Christina Heinze-Deml, Brian McWilliams, Nicolai Meinshausen:
Preserving Differential Privacy Between Features in Distributed Estimation. CoRR abs/1703.00403 (2017) - [i2]Christina Heinze-Deml, Nicolai Meinshausen:
Guarding Against Adversarial Domain Shifts with Counterfactual Regularization. CoRR abs/1710.11469 (2017) - 2016
- [c2]Christina Heinze, Brian McWilliams, Nicolai Meinshausen:
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections. AISTATS 2016: 875-883 - 2015
- [c1]Dominik Rothenhäusler, Christina Heinze, Jonas Peters, Nicolai Meinshausen:
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions. NIPS 2015: 1513-1521 - [i1]Christina Heinze, Brian McWilliams, Nicolai Meinshausen:
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections. CoRR abs/1506.02554 (2015)
Coauthor Index
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