k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2022
- NeurIPS 2022
Publications
49 results for Kristjan Greenewald
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
- Tal Shnitzer
- Mikhail Yurochkin
- et al.
- 2022
- ICML 2022
Entropic Causal Inference: Graph Identifiabilty
- Spencer Compton
- Kristjan Greenewald
- et al.
- 2022
- ICML 2022
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
- Ziv Goldfeld
- Kristjan Greenewald
- 2021
- NeurIPS 2021
Measuring Generalization with Optimal Transport
- Ching-Yao Chuang
- Youssef Mroueh
- et al.
- 2021
- NeurIPS 2021
Improving Approximate Optimal Transport Distances using Quantization
- Gaspard Beugnot
- Aude Genevay
- et al.
- 2021
- UAI 2021
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
- Kristjan Greenewald
- Karthikeyan Shanmugam
- et al.
- 2021
- AISTATS 2021
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2020
- NeurIPS 2020
Entropic Causal Inference: Identifiability and Finite Sample Results Spencer Compton
- Spencer Compton
- Murat Kocaoglu
- et al.
- 2020
- NeurIPS 2020
Active Structure Learning of Causal DAGs via Directed Clique Trees
- Chandler Squires
- Sara Magliacane
- et al.
- 2020
- NeurIPS 2020