Risk Assessment and Statistical Significance in the Age of Foundation Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2023
- NeurIPS 2023
Publications
47 results for Kristjan Greenewald
k-Mixup Regularization for Deep Learning via Optimal Transport
- Kristjan Greenewald
- Anming Gu
- et al.
- 2023
- TMLR
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
- Jiaqi Zhang
- Chandler Squires
- et al.
- 2023
- ICML 2023
Slicing Mutual Information Generalization Bounds for Neural Networks
- Kimia Nadjahi
- Kristjan Greenewald
- et al.
- 2023
- ICML 2023
High-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction
- Yuancheng Yu
- Kristjan Greenewald
- et al.
- 2023
- ISIT 2023
Learning Proximal Operators to Discover Multiple Optima
- Lingxiao Li
- Noam Aigerman
- et al.
- 2023
- ICLR 2023
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier
- Spencer Compton
- Dmitriy Katz
- et al.
- 2023
- AISTATS 2023
𝑘 -Variance: A Clustered Notion of Variance
- Justin M. Solomon
- Kristjan Greenewald
- et al.
- 2022
- SIMODS
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2022
- NeurIPS 2022
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
- Tal Shnitzer
- Mikhail Yurochkin
- et al.
- 2022
- ICML 2022