21 citations · 24 across the 3 of their papers we have counts for
3 papers
stat.ME2023★ 1 cited
Sliced Wasserstein Regression
Han Chen, Yidong Zhou, Hans-Georg Müller
While statistical modeling of distributional data has gained increased attention, the case of multivariate distributions has been somewhat neglected despite its relevance in variou…
cs.LG2023★ 2 cited
Learning Discretized Neural Networks under Ricci Flow
Jun Chen, Hanwen Chen, Mengmeng Wang +3
In this paper, we study Discretized Neural Networks (DNNs) composed of low-precision weights and activations, which suffer from either infinite or zero gradients due to the non-dif…
stat.ML2016★ 21 cited
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression
Han Chen, Garvesh Raskutti, Ming Yuan
In this paper, we consider the problem of learning high-dimensional tensor regression problems with low-rank structure. One of the core challenges associated with learning high-dim…