Publications

Products, Abstractions and Inclusions of Causal Spaces
Simon Buchholz*, Junhyung Park* and Bernhard Schölkopf
UAI 2024.
arXiv

A Continuous Structural Intervention Distance to Compare Causal Graphs
Mihir Dhanakshirur, Felix Laumann, Junhyung Park and Mauricio Barahona.
PCIC 2024.
arXiv

A Measure-Theoretic Axiomatisation of Causality
Junhyung Park, Simon Buchholz, Bernhard Schölkopf and Krikamol Muandet.
NeurIPS 2023 (oral, 77/12343).
arXiv

Kernel-based Independence Tests for Causal Structure Learning on Functional Data
Felix Laumann, Julius von Kügelgen, Junhyung Park, Bernhard Schölkopf and Mauricio Barahona.
Entropy 2023.
arXiv

Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes
Junhyung Park and Krikamol Muandet.
ALT 2023.
arXiv

Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
Junhyung Park, Uri Shalit, Bernhard Schölkopf and Krikamol Muandet.
ICML 2021.
arXiv

Regularised Least-Squares Regression with Infinite-Dimensional Output Space
Junhyung Park and Krikamol Muandet.
arXiv notes, 2020.
arXiv

A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings
Junhyung Park and Krikamol Muandet.
NeurIPS 2020.
arXiv