Entropic Causal Inference: Graph Identifiabilty
- Spencer Compton
- Kristjan Greenewald
- et al.
- 2022
- ICML 2022
Publications
47 results for Kristjan Greenewald
Measuring Generalization with Optimal Transport
- Ching-Yao Chuang
- Youssef Mroueh
- et al.
- 2021
- NeurIPS 2021
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
- Ziv Goldfeld
- Kristjan Greenewald
- 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
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
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2020
- NeurIPS 2020
Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2020
- IEEE Trans. Inf. Theory
Personalized heartsteps: A reinforcement learning algorithm for optimizing physical activity
- Peng Liao
- Kristjan Greenewald
- et al.
- 2020
- ACM IMWUT