Sampling with Mollified Interaction Energy Descent
- Lingxiao Li
- Qiang Liu
- et al.
- 2023
- ICLR 2023
Publications
Date
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70 results for Uncertainty Quantification
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
- 2021
- ICML 2021
- Topic
Learning Prediction Intervals for Model Performance
- Benjamin Elder
- Matthew Arnold
- et al.
- 2021
- AAAI 2021
Approximate Cross-Validation for Structured Models
- Soumya Ghosh
- William T. Stephenson
- et al.
- 2020
- NeurIPS 2020
Graph-based Uncertainty Metrics for Long-form Language Model Generations
- Mingjian Jiang
- Yangjun Yangjun
- et al.
- 2024
- NeurIPS 2024
Weak Supervision Performance Evaluation via Partial Identification
- Felipe Maia Polo
- Subha Maity
- et al.
- 2024
- NeurIPS 2024
Thermometer: Towards Universal Calibration for Large Language Models
- Maohao Shen
- Subhro Das
- et al.
- 2024
- ICML 2024
Risk Aware Benchmarking of Large Language Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2024
- ICML 2024
Uncertainty Quantification via Stable Distribution Propagation
- Felix Petersen
- Aashwin Mishra
- et al.
- 2024
- ICLR 2024
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees
- Nicolas Deutschmann
- Marvin Alberts
- et al.
- 2024
- AAAI 2024