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Browsing by Academic Advisor Liu, Han

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Showing results 12 to 26 of 26 < previous

Class Year	Author(s)	Title	Advisor
-	Eisenach, Carson	Modern Optimization for Statistics and Learning	*Liu, Han*
2015	Zhang, Rebecca	Multi-task Models for Predicting the Progression of Alzheimer's from MRI	*Liu, Han*
2016	Zhou, Eddie	Nested Models and Nonparametric LSTMs in Vision-Based Autonomous Driving and Developing an R Package for Bayesian-Optimized Deep Learning	*Liu, Han*
2017	Andronic, Dan-Cristian	NEURAL NETWORKS: DETECTING DIABETIC RETINOPATHY IN RETINA IMAGES	*Liu, Han*
-	Wang, Zhaoran	Nonconvex Statistical Optimization	*Liu, Han*
2016	Hssaine, Chamsi	A Nonparametric Statistical Approach to Inter-Subject Functional Connectivity Analyses of the Brain	*Liu, Han*
2017	Liu, Lydia	On the Two-Sample Statistic Approach to Generative Adversarial Networks	*Liu, Han*
-	Ekwedike, Emmanuel	Optimal Decision Making via Stochastic Modeling and Machine Learning: Applications to Resource Allocation Problems and Sequential Decision Problems	*Massey, William; Liu, Han*
2017	Ding, Yue	Power Enhanced Binary Expansion Testing Procedures for Independence Detection	*Liu, Han*
2015	Chen, Amanda	Predicting Pain: An Analysis of fMRI Data through Machine Learning Techniques	*Liu, Han*
-	Fang, Xingyuan	Some Interactions of Modern Optimization and Statistics	*Liu, Han; Vanderbei, Robert*
2016	Han, Xiaoyan	Sparse Median Graphs Estimation in a High Dimensional Semiparametric Model	*Liu, Han*
-	Zhao, Tianqi	Statistical Inference for Big Data	*Liu, Han*
2017	Lee, Katherine	Statistical Methods for finding Functional Connectivity	*Liu, Han*
-	Cao, Yuan	Structure Detection in High Dimensional Graphical Models	*Liu, Han; E, Weinan*

Showing results 12 to 26 of 26 < previous