Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
- Maohao Shen
- Yuheng Bu
- et al.
- 2023
- AAAI 2023
Publications
78 results for Uncertainty Quantification
Knowledge-augmented Risk Assessment (KaRA): a hybrid-intelligence framework for supporting knowledge-intensive risk assessment of prospect candidate
- 2023
- AAAI 2023
Optimization with Constraint Learning
- S. Ilker Birbil
- Donato Maragno
- et al.
- 2023
- AAAI 2023
Identifying Extreme Regimes in Climate-Scale Digital Twins: a Roadmap
- 2022
- Big Data 2022
Toward Human-AI Co-creation to Accelerate Material Discovery
- 2022
- NeurIPS 2022
Are you using test log-likelihoods correctly?
- Sameer Deshpande
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
- Songkai Xue
- Yuekai Sun
- et al.
- 2022
- NeurIPS 2022
Logical Credal Networks
- Radu Marinescu
- Haifeng Qian
- et al.
- 2022
- NeurIPS 2022
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2022
- NeurIPS 2022