22 citations · 79 across the 16 of their papers we have counts for
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stat.ML2021
High-Dimensional Uncertainty Quantification via Tensor Regression with Rank Determination and Adaptive Sampling
Zichang He, Zheng Zhang
Fabrication process variations can significantly influence the performance and yield of nano-scale electronic and photonic circuits. Stochastic spectral methods have achieved great…
stat.ML2019★ 5 cited
Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling
Ziming Liu, Zheng Zhang
Hamiltonian Monte Carlo (HMC) is an efficient Bayesian sampling method that can make distant proposals in the parameter space by simulating a Hamiltonian dynamical system. Despite…
stat.ML2018★ 7 cited
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion
Cole Hawkins, Zheng Zhang
Streaming tensor factorization is a powerful tool for processing high-volume and multi-way temporal data in Internet networks, recommender systems and image/video data analysis. Ex…