Sorawit Saengkyongam

According to our database, Sorawit Saengkyongam authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Anti-causal domain generalization: Leveraging unlabeled data.

Sorawit Saengkyongam, Juan L. Gamella, Andrew C. Miller, Jonas Peters, Nicolai Meinshausen, Christina Heinze-Deml

CoRR, February, 2026

2025

Hybrid Modeling of Photoplethysmography for Non-invasive Monitoring of Cardiovascular Parameters.

Emanuele Palumbo, Sorawit Saengkyongam, Maria R. Cervera, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Christina Heinze-Deml, Antoine Wehenkel

CoRR, November, 2025

2024

Effect-Invariant Mechanisms for Policy Generalization.

Sorawit Saengkyongam, Niklas Pfister, Predrag Klasnja, Susan A. Murphy, Jonas Peters

J. Mach. Learn. Res., 2024

Identifying Representations for Intervention Extrapolation.

Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Invariant Policy Learning: A Causal Perspective.

Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

2022

Exploiting Independent Instruments: Identification and Distribution Generalization.

Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister, Jonas Peters

Proceedings of the International Conference on Machine Learning, 2022

2021

Counterfactual Mean Embeddings.

Krikamol Muandet, Motonobu Kanagawa, Sorawit Saengkyongam, Sanparith Marukatat

J. Mach. Learn. Res., 2021

2020

Efficient computation of the stochastic behavior of partial sum processes.

Sorawit Saengkyongam, Anthony J. Hayter, Seksan Kiatsupaibul, Wei Liu

Comput. Stat., 2020

Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders.

Sorawit Saengkyongam, Ricardo Silva

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2018

Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference.

Krikamol Muandet, Motonobu Kanagawa, Sorawit Saengkyongam, Sanparith Marukatat

CoRR, 2018