Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference. - Krikamol Muandet; Motonobu Kanagawa; Sorawit Saengkyongam; Sanparith Marukatat (CoRR, 2018)

Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders. - Sorawit Saengkyongam; Ricardo Silva (UAI, 2020)

Efficient computation of the stochastic behavior of partial sum processes. - Sorawit Saengkyongam; Anthony J. Hayter; Seksan Kiatsupaibul; Wei Liu 030 (Comput. Stat., 2020)

Counterfactual Mean Embeddings. - Krikamol Muandet; Motonobu Kanagawa; Sorawit Saengkyongam; Sanparith Marukatat (J. Mach. Learn. Res., 2021)

Exploiting Independent Instruments: Identification and Distribution Generalization. - Sorawit Saengkyongam; Leonard Henckel; Niklas Pfister; Jonas Peters (ICML, 2022)

Invariant Policy Learning: A Causal Perspective. - Sorawit Saengkyongam; Nikolaj Thams; Jonas Peters; Niklas Pfister (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Identifying Representations for Intervention Extrapolation. - Sorawit Saengkyongam; Elan Rosenfeld; Pradeep Kumar Ravikumar; Niklas Pfister; Jonas Peters (ICLR, 2024)

Effect-Invariant Mechanisms for Policy Generalization. - Sorawit Saengkyongam; Niklas Pfister; Predrag Klasnja; Susan A. Murphy; Jonas Peters (J. Mach. Learn. Res., 2024)