Xiyang Luo
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2010 – today
- 2018
- [b1]Xiyang Luo:
Analysis and Application of Graph-Based Semi-Supervised Learning Methods. University of California, Los Angeles, USA 2018 - [c2]Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley Osher:
Deep Neural Nets with Interpolating Function as Output Activation. NeurIPS 2018: 751-761 - [i6]Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Deep Learning with Data Dependent Implicit Activation Function. CoRR abs/1802.00168 (2018) - [i5]Alan Mackey, Xiyang Luo, Elad Eban:
Constrained Classification and Ranking via Quantiles. CoRR abs/1803.00067 (2018) - [i4]Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data. CoRR abs/1804.00684 (2018) - [i3]Stanley Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Lin:
Laplacian Smoothing Gradient Descent. CoRR abs/1806.06317 (2018) - [i2]Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi:
Seq2Slate: Re-ranking and Slate Optimization with RNNs. CoRR abs/1810.02019 (2018) - 2017
- [i1]Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis:
Uncertainty Quantification in the Classification of High Dimensional Data. CoRR abs/1703.08816 (2017) - 2016
- [c1]
Coauthor Index
last updated on 2019-01-09 01:06 CET by the dblp team
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