Heinze-Deml, Christina

10 publications

ICLR 2025 Do LLMs Estimate Uncertainty Well in Instruction-Following? Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain

ICLR 2025 Do LLMs ``know'' Internally When They Follow Instructions? Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Kwan Ho Ryan Chan, Shirley You Ren, Andrew Miller, Udhyakumar Nallasamy, Jaya Narain

NeurIPSW 2024 Do LLMs Estimate Uncertainty Well in Instruction-Following? Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain

NeurIPSW 2024 Do LLMs Internally ``know'' When They Follow Instructions? Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley You Ren, Kwan Ho Ryan Chan, Udhyakumar Nallasamy, Andrew Miller, Jaya Narain

JMLR 2024 Learning and Scoring Gaussian Latent Variable Causal Models with Unknown Additive Interventions Armeen Taeb, Juan L. Gamella, Christina Heinze-Deml, Peter Bühlmann

ICLRW 2023 Considerations for Distribution Shift Robustness in Health Arno Blaas, Andrew Miller, Luca Zappella, Joern-Henrik Jacobsen, Christina Heinze-Deml

MLJ 2021 Conditional Variance Penalties and Domain Shift Robustness Christina Heinze-Deml, Nicolai Meinshausen

NeurIPS 2020 Active Invariant Causal Prediction: Experiment Selection Through Stability Juan L. Gamella, Christina Heinze-Deml

NeurIPS 2019 Invariance-Inducing Regularization Using Worst-Case Transformations Suffices to Boost Accuracy and Spatial Robustness Fanny Yang, Zuowen Wang, Christina Heinze-Deml

ICMLW 2019 Invariance-Inducing Regularization Using Worst-Case Transformations Suffices to Boost Accuracy and Spatial Robustness Fanny Yang, Zuowen Wang, Christina Heinze-Deml