Cheng, Dehua

8 publications

ICLR 2020 Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu

UAI 2019 Variational Training for Large-Scale Noisy-or Bayesian Networks Geng Ji, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth

ICLR 2018 Detecting Statistical Interactions from Neural Network Weights Michael Tsang, Dehua Cheng, Yan Liu

AISTATS 2018 Matrix Completability Analysis via Graph K-Connectivity Dehua Cheng, Natali Ruchansky, Yan Liu

NeurIPS 2016 SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling Dehua Cheng, Richard Peng, Yan Liu, Ioakeim Perros

ICML 2015 Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams Rose Yu, Dehua Cheng, Yan Liu

COLT 2015 Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng

AISTATS 2015 Model Selection for Topic Models via Spectral Decomposition Dehua Cheng, Xinran He, Yan Liu