156 citations · 362 across the 22 of their papers we have counts for
5 papers · 1 filter
Learning Markov Chain in Unordered Dataset
Yao-Hung Hubert Tsai, Han Zhao, Ruslan Salakhutdinov +1
The assumption that data samples are independently identically distributed is the backbone of many learning algorithms. Nevertheless, datasets often exhibit rich structure in pract…
Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint
Han Zhao, Geoff Gordon
Symmetric nonnegative matrix factorization has found abundant applications in various domains by providing a symmetric low-rank decomposition of nonnegative matrices. In this paper…
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks
Han Zhao, Shanghang Zhang, Guanhang Wu +3
While domain adaptation has been actively researched in recent years, most theoretical results and algorithms focus on the single-source-single-target adaptation setting. Naive app…
Principled Hybrids of Generative and Discriminative Domain Adaptation
Han Zhao, Zhenyao Zhu, Junjie Hu +2
We propose a probabilistic framework for domain adaptation that blends both generative and discriminative modeling in a principled way. Under this framework, generative and discrim…
Linear Time Computation of Moments in Sum-Product Networks
Han Zhao, Geoff Gordon
Bayesian online algorithms for Sum-Product Networks (SPNs) need to update their posterior distribution after seeing one single additional instance. To do so, they must compute mome…