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
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
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
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
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
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.
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
In preparation
Ji Xu, Junjie Ma, Arian Maleki. "Phase retrieval based on spectral initialization and approximate message passing." In preparation, 2018.
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