Yao, Ruicong

5 publications

AISTATS 2025 Causal Discovery in Mixed Additive Noise Models Ruicong Yao, Tim Verdonck, Jakob Raymaekers

AISTATS 2025 Differentiable Causal Structure Learning with Identifiability by NOTIME Jeroen Berrevoets, Jakob Raymaekers, Mihaela Schaar, Tim Verdonck, Ruicong Yao

ICLR 2024 Alleviating Exposure Bias in Diffusion Models Through Sampling with Shifted Time Steps Mingxiao Li, Tingyu Qu, Ruicong Yao, Wei Sun, Marie-Francine Moens

MLJ 2024 Fast Linear Model Trees by PILOT Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao

ICML 2023 Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning Junyi Zhu, Ruicong Yao, Matthew B. Blaschko