1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2023
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
Mingzhang Yin, Ruijiang Gao, Weiran Lin +1
Designing products to meet consumers' preferences is essential for a business's success. We propose the Gradient-based Survey (GBS), a discrete choice experiment for multiattribute…
cs.LG2022★ 1 cited
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping
Russell Z. Kunes, Mingzhang Yin, Max Land +3
Gradient estimation is often necessary for fitting generative models with discrete latent variables, in contexts such as reinforcement learning and variational autoencoder (VAE) tr…