2 papers
stat.ML2025
Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement
Hao Chen, Lin Liu, Yu Guang Wang
Causal representation learning (CRL) has garnered increasing interest from the causal inference and artificial intelligence communities due to its potential to disentangle complex…
stat.ME2023
Adaptive Importance Sampling and Quasi-Monte Carlo Methods for 6G URLLC Systems
Xiongwen Ke, Houying Zhu, Kai Yi +3
In this paper, we propose an efficient simulation method based on adaptive importance sampling, which can automatically find the optimal proposal within the Gaussian family based o…