rization for scalable and privacy-preserving Bayesian inference in high-dimensions is recognized as important for the

Nov-15-2025, 00:32:16 GMT–Neural Information Processing Systems 

The varational parameters size in PSVI is dominated by pseudopoints in high-dimensions.