Segui
Dehua Cheng
Dehua Cheng
Email verificata su usc.edu - Home page
Titolo
Citata da
Citata da
Anno
Detecting Statistical Interactions from Neural Network Weights
M Tsang, D Cheng, Y Liu
International Conference on Learning Representations (ICLR), 2018
1982018
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
822020
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
732015
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
592019
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
57*2015
SPALS: Fast alternating least squares via implicit leverage scores sampling
D Cheng, R Peng, Y Liu, I Perros
Advances in neural information processing systems 29, 2016
502016
FBLG: A Simple and Effective Approach for Temporal Dependence Discovery from Time Series Data
D Cheng, MT Bahadori, Y Liu
KDD, 2014
502014
Model Selection for Topic Models via Spectral Decomposition
D Cheng, X He, Y Liu
Proceedings of the Eighteenth International Conference on Artificial …, 2015
19*2015
Parallel Gibbs Sampling for Hierarchical Dirichlet Processes via Gamma Processes Equivalence
D Cheng, Y Liu
KDD, 2014
132014
NASRec: weight sharing neural architecture search for recommender systems
T Zhang, D Cheng, Y He, Z Chen, X Dai, L Xiong, F Yan, H Li, Y Chen, ...
Proceedings of the ACM Web Conference 2023, 1199-1207, 2023
92023
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
72019
Matrix completability analysis via graph k-connectivity
D Cheng, N Ruchansky, Y Liu
Proceedings of the Eighteenth International Conference on Artificial …, 2018
22018
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
12016
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale
W Wen, KH Liu, I Fedorov, X Zhang, H Yin, W Chu, K Hassani, M Sun, ...
arXiv preprint arXiv:2311.08430, 2023
2023
Improving Machine Learning Algorithms via Efficient Data Relevance Discovery
D Cheng
University of Southern California, 2018
2018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–15