Dehua Cheng
Dehua Cheng
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Zitiert von
Zitiert von
Detecting Statistical Interactions from Neural Network Weights
M Tsang, D Cheng, Y Liu
International Conference on Learning Representations (ICLR), 2018
Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams
R Yu, D Cheng, Y Liu
Proceedings of the 32nd International Conference on Machine Learning (ICML …, 2015
Efficient sampling for Gaussian graphical models via spectral sparsification
D Cheng, Y Cheng, Y Liu, R Peng, SH Teng
Conference on Learning Theory, 364-390, 2015
FBLG: A Simple and Effective Approach for Temporal Dependence Discovery from Time Series Data
D Cheng, MT Bahadori, Y Liu
KDD, 2014
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling
D Cheng, R Peng, Y Liu, I Perros
Advances In Neural Information Processing Systems, 721-729, 2016
Model Selection for Topic Models via Spectral Decomposition
D Cheng, X He, Y Liu
Proceedings of the Eighteenth International Conference on Artificial …, 2015
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection
M Tsang, D Cheng, H Liu, X Feng, E Zhou, Y Liu
International Conference on Learning Representations (ICLR), 2019
Parallel Gibbs Sampling for Hierarchical Dirichlet Processes via Gamma Processes Equivalence
D Cheng, Y Liu
KDD, 2014
Towards automated neural interaction discovery for click-through rate prediction
Q Song, D Cheng, H Zhou, J Yang, Y Tian, X Hu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Variational training for large-scale noisy-OR Bayesian networks
G Ji, D Cheng, H Ning, C Yuan, H Zhou, L Xiong, EB Sudderth
Uncertainty in artificial intelligence, 2019
Improving Machine Learning Algorithms via Efficient Data Relevance Discovery
D Cheng
University of Southern California, 2018
Matrix completability analysis via graph k-connectivity
D Cheng, N Ruchansky, Y Liu
Proceedings of the Eighteenth International Conference on Artificial …, 2018
On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps
J Chen, D Cheng, Y Liu
arXiv:1610.08861, 2016
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