Thermometer: Towards Universal Calibration for Large Language Models
- Maohao Shen
- Subhro Das
- et al.
- 2024
- ICML 2024
Publications
Date
Featured collections
Popular topics
42 results for Kristjan Greenewald
Slicing Mutual Information Generalization Bounds for Neural Networks
- Kimia Nadjahi
- Kristjan Greenewald
- et al.
- 2024
- ICML 2024
Asymmetry in Low-Rank Adapters of Foundation Models
- Jiacheng Zhu
- Kristjan Greenewald
- et al.
- 2024
- ICML 2024
Risk Aware Benchmarking of Large Language Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2024
- ICML 2024
Max-Sliced Mutual Information
- Dor Tsur
- Ziv Goldfeld
- et al.
- 2023
- NeurIPS 2023
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
- Tal Shnitzer
- Mikhail Yurochkin
- et al.
- 2022
- ICML 2022
Statistical model aggregation via parameter matching
- Mikhail Yurochkin
- Mayank Agarwal
- et al.
- 2019
- NeurIPS 2019
Sample efficient active learning of causal trees
- Kristjan Greenewald
- Dmitriy Katz-Rogozhnikov
- et al.
- 2019
- NeurIPS 2019
Estimating information flow in deep neural networks
- Ziv Goldfeld
- Ewout van den Berg
- et al.
- 2019
- ICML 2019
Bayesian nonparametric federated learning of neural networks
- Mikhail Yurochkin
- Mayank Agarwal
- et al.
- 2019
- ICML 2019