Invariant Policy Learning: A Causal Perspective
Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister, ArXiv preprint, 2021
Publications
Statistical Testing under Distributional Shifts
Nikolaj Thams, Sorawit Saengkyongam, Niklas Pfister, Jonas Peters, ArXiv preprint, 2021
Counterfactual Mean Embeddings
Krikamol Muandet, Motonobu Kanagawa, Sorawit Saengkyongam, Sanparith Marukatat, Journal of Machine Learning Research (accepted), 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