Differentiable Random Partition Models
Published in NeurIPS, 2023
Recommended citation: TM Sutter, A Ryser, J Liebeskind, JE Vogt. (2023) "Differentiable Random Partition Models." NeurIPS 2023. https://arxiv.org/abs/2305.16841
We propose a differentiable two-stage formulation for random partition models that allows gradient-based optimization of the distribution parameters and is reparameterizable.
Recommended citation: TM Sutter, A Ryser, J Liebeskind, JE Vogt. (2023) “Differentiable Random Partition Models” NeurIPS 2023.