arXiv stat.ML
· Papers
A Multi-stage Constrained Optimization Framework for Data-driven Problems
arXiv:2607.23480v1 Announce Type: cross Abstract: Variational autoencoders (VAEs) transform high-dimensional, often noisy data into a compact latent representation, making downstream optimization more tractable. Three challenges persist in VAE-based constrained optimization: (i) sampling effectively within the latent s