Effect-Invariant Mechanisms for Policy Generalization
Sorawit Saengkyongam, Niklas Pfister, Predrag Klasnja, Susan Murphy, Jonas Peters, arXiv e-print, 2023
Publications
Invariant Policy Learning: A Causal Perspective
Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Statistical Testing under Distributional Shifts
Nikolaj Thams, Sorawit Saengkyongam, Niklas Pfister, Jonas Peters, Journal of the Royal Statistical Society, Series B, 2022
Exploiting Independent Instruments: Identification and Distribution Generalization
Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister, Jonas Peters, International Conference on Machine Learning (ICML), 2022
Counterfactual Mean Embeddings
Krikamol Muandet, Motonobu Kanagawa, Sorawit Saengkyongam, Sanparith Marukatat, Journal of Machine Learning Research, 2021
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders
Sorawit Saengkyongam, Ricardo Silva, Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Efficient computation of the stochastic behavior of partial sum processes
Sorawit Saengkyongam, Anthony Hayter, Seksan Kiatsupaibul, Wei Liu, Computational Statistics, 2020