Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
- Maohao Shen
- Yuheng Bu
- et al.
- 2023
- AAAI 2023
Publications
Date
Featured collections
Popular topics
33 results for Soumya Ghosh
Chi-square Information for Invariant Learning
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2020
- ICML 2020
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
- Dennis Wei
- Inkit Padhi
- et al.
- 2024
- NeurIPS 2024
Influence Based Approaches to Algorithmic Fairness: A Closer Look
- Soumya Ghosh
- Prasanna Sattigeri
- et al.
- 2023
- NeurIPS 2023
Are you using test log-likelihoods correctly?
- Sameer Deshpande
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves
- Jiri Navratil
- Benjamin Elder
- et al.
- 2022
- ICML 2022
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach
- Bin Liu
- Ying Li
- et al.
- 2020
- IEEE TKDE
Measuring the robustness of Gaussian processes to kernel choice
- William T. Stephenson
- Soumya Ghosh
- et al.
- 2022
- AISTATS 2022
An Exploration of Latent Structure in Observational Huntington’s Disease Studies
- Soumya Ghosh
- Zhaonan Sun
- et al.
- 2017
- AMIA Joint Summits on Translational Science 2017
Reliable Gradient-free and Likelihood-free Prompt Tuning
- Maohao Shen
- Soumya Ghosh
- et al.
- 2023
- EACL 2023