Shiyun Xu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Automatic gradient descent with generalized Newton's method	2024	Zhiqi Bu Shiyun Xu
+	Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm	2021	Kan Chen Zhiqi Bu Shiyun Xu
+	Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing	2021	Kan Chen Zhiqi Bu Shiyun Xu
+	A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks	2020	Zhiqi Bu Shiyun Xu Kan Chen
+	A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks	2020	Zhiqi Bu Shiyun Xu Kan Chen
+	DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks	2020	Shiyun Xu Zhiqi Bu

Common Coauthors

Coauthor	Papers Together
Zhiqi Bu	6
Kan Chen	2
Kan Chen	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Proximal Algorithms	2013	Neal Parikh Stephen Boyd	3
+	On the Convergence of Approximate Message Passing With Arbitrary Matrices	2019	Sundeep Rangan Philip Schniter Alyson K. Fletcher Subrata Sarkar	2
+	Vector Approximate Message Passing	2019	Sundeep Rangan Philip Schniter Alyson K. Fletcher	2
+	Message-passing algorithms for compressed sensing	2009	David L. Donoho Arian Maleki Andrea Montanari	2
+	Approximate separability of symmetrically penalized least squares in high dimensions: characterization and consequences	2019	Michael Celentano	2
+	Asymptotics and Optimal Designs of SLOPE for Sparse Linear Regression	2019	Hong Hu Yue M. Lu	2
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	2
+ PDF Chat	Consistent parameter estimation for LASSO and approximate message passing	2018	Ali Mousavi Arian Maleki Richard G. Baraniuk	2
+ PDF Chat	Message passing algorithms for compressed sensing: I. motivation and construction	2010	David L. Donoho Arian Maleki Andrea Montanari	2
+ PDF Chat	The Group Lasso for Logistic Regression	2008	Lukas Meier Sara van de Geer Peter Bühlmann	2
+	False discoveries occur early on the Lasso path	2017	Weijie Su Małgorzata Bogdan Emmanuel J. Candès	2
+	A Sparse-Group Lasso	2012	Noah Simon Jerome H. Friedman Trevor Hastie Robert Tibshirani	2
+ PDF Chat	Graphical models concepts in compressed sensing	2012	Andrea Montanari	2
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	2
+ PDF Chat	An iterative thresholding algorithm for linear inverse problems with a sparsity constraint	2004	Ingrid Daubechies Michel Defrise Christine De Mol	2
+	A fast unified algorithm for solving group-lasso penalize learning problems	2014	Yi Yang Hui Zou	2
+	Fast Sparse Group Lasso	2019	Yasutoshi Ida Yasuhiro Fujiwara Hisashi Kashima	2
+ PDF Chat	The LASSO Risk for Gaussian Matrices	2011	Mohsen Bayati Andrea Montanari	2
+	Estimating LASSO Risk and Noise Level	2013	Mohsen Bayati Murat A. Erdogdu Andrea Montanari	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+ PDF Chat	Expectation-Maximization Gaussian-Mixture Approximate Message Passing	2013	Jeremy Vila Philip Schniter	2
+	Approximate message-passing for convex optimization with non-separable penalties	2018	Andre Manoel Florent Krząkała Bertrand Thirion Gaël Varoquaux Lenka Zdeborová	2
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	2
+ PDF Chat	The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing	2011	Mohsen Bayati Andrea Montanari	2
+ PDF Chat	Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing	2015	Chunli Guo Mike E. Davies	2
+ PDF Chat	Probabilistic reconstruction in compressed sensing: algorithms, phase diagrams, and threshold achieving matrices	2012	Florent Krząkała Marc Mézard François Sausset Yifan Sun Lenka Zdeborová	2
+ PDF Chat	The Noise-Sensitivity Phase Transition in Compressed Sensing	2011	David L. Donoho Arian Maleki Andrea Montanari	2
+ PDF Chat	Generalized approximate message passing for estimation with random linear mixing	2011	Sundeep Rangan	2
+ PDF Chat	Universality in polytope phase transitions and message passing algorithms	2015	Mohsen Bayati Marc Lelarge Andrea Montanari	2
+ PDF Chat	Adaptive damping and mean removal for the generalized approximate message passing algorithm	2015	Jeremy Vila Philip Schniter Sundeep Rangan Florent Krząkała Lenka Zdeborová	2
+	On Lazy Training in Differentiable Programming	2018	Lénaïc Chizat Edouard Oyallon Francis Bach	1
+ PDF Chat	State evolution for approximate message passing with non-separable functions	2018	Raphaël Berthier Andrea Montanari Phan-Minh Nguyen	1
+	Spectrally-normalized margin bounds for neural networks	2017	Peter L. Bartlett Dylan J. Foster Matus Telgarsky	1
+ PDF Chat	Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints	2016	Laurent Lessard Benjamin Recht Andrew Packard	1
+ PDF Chat	Wide neural networks of any depth evolve as linear models under gradient descent <sup>*</sup>	2020	Jaehoon Lee Lechao Xiao Samuel S. Schoenholz Yasaman Bahri Roman Novak Jascha Sohl‐Dickstein Jeffrey Pennington	1
+	Algorithmic analysis and statistical estimation of SLOPE via approximate message passing	2019	Zhiqi Bu Jason M. Klusowski Cynthia Rush Weijie Su	1
+	On Exact Computation with an Infinitely Wide Neural Net	2019	Sanjeev Arora Simon S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang	1
+	On the Convergence Rate of Training Recurrent Neural Networks	2019	Zeyuan Allen-Zhu Yuanzhi Li Zhao Song	1
+	Optimization Theory for ReLU Neural Networks Trained with Normalization Layers	2020	Yonatan Dukler Quanquan Gu Guido Montúfar	1
+	Finite Versus Infinite Neural Networks: an Empirical Study	2020	Jaehoon Lee Samuel S. Schoenholz Jeffrey Pennington Ben Adlam Lechao Xiao Roman Novak Jascha Sohl‐Dickstein	1
+	A General System of Differential Equations to Model First-Order Adaptive Algorithms	2020	André Belotto da Silva Maxime Gazeau	1
+	High-dimensional dynamics of generalization error in neural networks	2020	Madhu Advani Andrew Saxe Haim Sompolinsky	1
+ PDF Chat	Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods	2020	Nicolas Loizou Peter Richtárik	1
+	An Improved Analysis of Stochastic Gradient Descent with Momentum	2020	Yanli Liu Yuan Gao Wotao Yin	1
+ PDF Chat	Linearized two-layers neural networks in high dimension	2021	Behrooz Ghorbani Mei Song Theodor Misiakiewicz Andrea Montanari	1
+	ADADELTA: An Adaptive Learning Rate Method	2012	Matthew D. Zeiler	1
+	A second-order gradient-like dissipative dynamical system with Hessian-driven damping.	2002	Felipe Álvarez Hédy Attouch Jérôme Bolte Patrick Redont	1
+	Theory of Gradient Methods	1959	Heinz Rutishauser	1
+	Geometric Numerical Integration: Structure-Preserving Algorithms for Ordinary Differential Equations	2009	Ernst Hairer Christian Lubich Gerhard Wanner	1
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1