Publications

47 results for Kristjan Greenewald

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
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