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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Ji Xu
About Ji Xu
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Posts
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
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Blog Post number 2
Published:
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Blog Post number 1
Published:
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portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
Global analysis of Expectation Maximization for mixtures of two Gaussians
Published in Neural Information Processing Systems (NeurIPS), 2016
This paper is selected as Oral Presentation in NeurIPS 2016.
Ji Xu, Daniel Hsu, Arian Maleki. "Global analysis of Expectation Maximization for mixtures of two Gaussians." Neural Information Processing Systems (NeurIPS), 2016. https://arxiv.org/abs/1608.07630
Phase retrieval based on spectral initialization and approximate message passing
In preparation
Ji Xu, Junjie Ma, Arian Maleki. "Phase retrieval based on spectral initialization and approximate message passing." In preparation, 2018.
Approximate message passing for amplitude-based optimization.
Published in International Conference on Machine Learning (ICML), 2018
*Equal contribution. This paper is selected as Long Talk in ICML 2018.
Junjie Ma*, Ji Xu*, Arian Maleki. "Approximate message passing for amplitude-based optimization." International Conference on Machine Learning (ICML), 2018. https://arxiv.org/abs/1806.03276
Risk estimation of leave-one-out cross validation (LO) in high dimension regime via approximate message passing (AMP).
Submitted to Annals of Statistics.
Ji Xu, Arian Maleki, Kamiar Rahnama Rad, Daniel Hsu. "Risk estimation of leave-one-out cross validation (LO) in high dimension regime via approximate message passing (AMP)." In submission to Annals of Statistics , 2018.
Benefits of over-parameterization with EM
Published in Neural Information Processing Systems(NeurIPS), 2018
Ji Xu, Daniel Hsu, Arian Maleki. "Benefits of over-parameterization with EM." Neural Information Processing Systems (NeurIPS) , 2018. https://arxiv.org/abs/1810.11344
Optimization-based AMP for Phase Retrieval: The Impact of Initialization and $\ell_2$-regularization
Published in IEEE Transactions on Information Theory, 2019
Junjie Ma, Ji Xu, Arian Maleki. "Optimization-based AMP for Phase Retrieval: The Impact of Initialization and $\ell_2$-regularization" IEEE Transactions on Information Theory 65 (6), 3600-3629 , 2019. https://arxiv.org/abs/1801.01170
Two models of double descent for weak features.
Submitted to IEEE Transactions on Information Theory.
Mikhail Belkin, Daniel Hsu, Ji Xu. "Two models of double descent for weak features." In submission to IEEE Transactions on Information Theory , 2019. https://arxiv.org/abs/1903.07571
Spectral Method for Phase Retrieval: an Expectation Propagation Perspective
Under review of IEEE Transactions on Information Theory.
Junjie Ma, Rishabh Dudeja, Ji Xu, Arian Maleki, Xiaodong Wang. "Spectral Method for Phase Retrieval: an Expectation Propagation Perspective." Under review of IEEE Transactions on Information Theory , 2019. https://arxiv.org/pdf/1903.02505
On the number of variables to use in principal component regression
Published in Neural Information Processing Systems(NeurIPS), 2019
Ji Xu, Daniel Hsu. "On the number of variables to use in principal component regression" To appear at Neural Information Processing Systems (NeurIPS) , 2019. https://arxiv.org/pdf/1906.01139
talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.