Kaixin Gao

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All published works

Action	Title	Year	Authors
+	Tensor Robust Principal Component Analysis via Tensor Fibered Rank and ${\boldsymbol{{l_p}}}$ Minimization	2023	Kaixin Gao Zheng‐Hai Huang
+	Low rank tensor recovery by schatten capped p norm and plug-and-play regularization	2023	Lulu Guo Kaixin Gao Zheng‐Hai Huang
+ PDF Chat	Eigenvalue-Corrected Natural Gradient Based on a New Approximation	2023	Kaixin Gao Zheng‐Hai Huang Xiaolei Liu Min Wang Shuangling Wang Zidong Wang Dachuan Xu Fan Yu
+ PDF Chat	Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation	2023	Naicheng Guo Xiaolei Liu Shaoshuai Li Qiongxu Ma Kaixin Gao Bing Han Lin Zheng Sheng Guo Xiaobo Guo
+	Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation	2022	Naicheng Guo Xiaolei Liu Shaoshuai Li Qiongxu Ma Kaixin Gao Bing Han Zheng Lin Xiaobo Guo
+ PDF Chat	A Trace-restricted Kronecker-Factored Approximation to Natural Gradient	2021	Kaixin Gao Xiaolei Liu Zheng‐Hai Huang Min Wang Zidong Wang Dachuan Xu Fan Yu
+	HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation	2021	Naicheng Guo Xiaolei Liu Shaoshuai Li Qiongxu Ma Yunan Zhao Bing Han Lin Zheng Kaixin Gao Xiaobo Guo
+	EAdam Optimizer: How $\epsilon$ Impact Adam	2020	Wei Yuan Kaixin Gao
+	EAdam Optimizer: How $ε$ Impact Adam	2020	Wei Yuan Kaixin Gao
+	A Trace-restricted Kronecker-Factored Approximation to Natural Gradient	2020	Kaixin Gao Xiaolei Liu Zheng‐Hai Huang Min Wang Zidong Wang Dachuan Xu Fan Yu

Common Coauthors

Coauthor	Papers Together
Zheng‐Hai Huang	5
Shaoshuai Li	3
Qiongxu Ma	3
Naicheng Guo	3
Dachuan Xu	3
Xiaolei Liu	3
Xiaolei Liu	3
Zidong Wang	3
Xiaobo Guo	3
Bing Han	2
Fan Yu	2
Lin Zheng	2
Min Wang	2
Wei Yuan	1
Fan Yu	1
Lulu Guo	1
Shuangling Wang	1
Zheng Lin	1
Wei Yuan	1
Sheng Guo	1
Min Wang	1
Bing Han	1
Yunan Zhao	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Quasi-Newton Methods for Deep Learning: Forget the Past, Just Sample.	2019	Albert S. Berahas Majid Jahani Martin Takáč	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Noisy Natural Gradient as Variational Inference	2017	Guodong Zhang Shengyang Sun David Duvenaud Roger Grosse	3
+ PDF Chat	Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks	2019	Kazuki Osawa Yohei Tsuji Yuichiro Ueno Akira Naruse Rio Yokota Satoshi Matsuoka	3
+	Eigenvalue Corrected Noisy Natural Gradient	2018	Juhan Bae Guodong Zhang Roger Grosse	3
+	Three Mechanisms of Weight Decay Regularization	2018	Guodong Zhang Chaoqi Wang Bowen Xu Roger Grosse	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Practical Quasi-Newton Methods for Training Deep Neural Networks	2020	Donald Goldfarb Yi Ren Achraf Bahamou	3
+	Training Neural Networks with Stochastic Hessian-Free Optimization	2013	Ryan Kiros	3
+ PDF Chat	Neural Attentive Session-based Recommendation	2017	Jing Li Pengjie Ren Zhumin Chen Zhaochun Ren Tao Lian Jun Ma	2
+	Pathological spectra of the Fisher information metric and its variants in deep neural networks	2019	Ryo Karakida Shotaro Akaho Шун-ичи Амари	2
+	Tensor-Train Decomposition	2011	Ivan Oseledets	2
+ PDF Chat	Self-Attentive Sequential Recommendation	2018	Wang-Cheng Kang Julian McAuley	2
+ PDF Chat	Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs	2021	Nurendra Choudhary Nikhil Rao Sumeet Katariya Karthik Subbian Chandan K. Reddy	2
+ PDF Chat	Hierarchical organization in complex networks	2003	Erzsébet Ravasz Regan Albert‐László Barabási	2
+ PDF Chat	Geometric Deep Learning: Going beyond Euclidean data	2017	Michael M. Bronstein Joan Bruna Yann LeCun Arthur Szlam Pierre Vandergheynst	2
+ PDF Chat	Training the random neural network using quasi-Newton methods	2000	Aristidis Likas Andreas Stafylopatis	2
+	Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm	2019	Canyi Lu Jiashi Feng Yudong Chen Wei Liu Zhouchen Lin Shuicheng Yan	2
+	On $l_q$ Optimization and Matrix Completion	2012	Goran Marjanovic Victor Solo	2
+ PDF Chat	adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs	2016	Nitish Shirish Keskar Albert S. Berahas	2
+ PDF Chat	ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning	2021	Zhewei Yao Amir Gholami Sheng Shen Mustafa Mustafa Kurt Keutzer Michael W. Mahoney	2
+ PDF Chat	Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation	2016	Ruining He Julian McAuley	2
+ PDF Chat	Session-Based Recommendation with Graph Neural Networks	2019	Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan	2
+	Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging	2013	Misha E. Kilmer Karen Braman Ning Hao Randy C. Hoover	2
+ PDF Chat	Memory Augmented Graph Neural Networks for Sequential Recommendation	2020	Chen Ma Liheng Ma Yingxue Zhang Jianing Sun Xue Liu Mark Coates	2
+	Convolutional Neural Network Training with Distributed K-FAC	2020	J. Gregory Pauloski Zhao Zhang Lei Huang Weijia Xu Ian Foster	2
+	A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion	2019	Xiongjun Zhang Michael K. Ng	2
+ PDF Chat	A well-conditioned estimator for large-dimensional covariance matrices	2003	Olivier Ledoit Michael Wolf	2
+	Estimation of the Kronecker Covariance Model by Partial Means and Quadratic Form	2019	Oliver B. Linton Haihan Tang	2
+	Factorization strategies for third-order tensors	2010	Misha E. Kilmer Carla D. Martin	2
+	Tensor Decomposition for Signal Processing and Machine Learning	2017	Nicholas D. Sidiropoulos Lieven De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos	2
+	Iterative p-shrinkage thresholding algorithm for low Tucker rank tensor recovery	2019	Kun Shang Yufan Li Zheng‐Hai Huang	2
+	Equivariant and Scale-Free Tucker Decomposition Models	2015	Peter D. Hoff	2
+	Multi-Manifold Learning for Large-scale Targeted Advertising System	2020	Kyuyong Shin Youngjin Park Kyung Min Kim Sunyoung Kwon	2
+ PDF Chat	Tensor Robust Principal Component Analysis via Non-Convex Low Rank Approximation	2019	Shuting Cai Qilun Luo Ming Yang Wen Li Mingqing Xiao	2
+	Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition	1970	J. Douglas Carroll Jih-Jie Chang	2
+	Efficient Navigation in Scale-Free Networks Embedded in Hyperbolic Metric Spaces	2008	Dmitri Krioukov Fragkiskos Papadopoulos Marian Boguñá Amin Vahdat	1
+ PDF Chat	Learning with tensors: a framework based on convex optimization and spectral regularization	2013	Marco Signoretto Quoc Tran Dinh Lieven De Lathauwer Johan A. K. Suykens	1
+	Optimizing Neural Networks with Kronecker-factored Approximate Curvature	2015	James Martens Roger Grosse	1
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	1
+	Proximal alternating linearized minimization for nonconvex and nonsmooth problems	2013	Jérôme Bolte Shoham Sabach Marc Teboulle	1
+ PDF Chat	Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality	2010	Hédy Attouch Jérôme Bolte Patrick Redont Antoine Soubeyran	1
+ PDF Chat	High Dimensional Covariance Matrix Estimation in Approximate Factor Models	2011	Jianqing Fan Yuan Liao Martina Mincheva	1
+ PDF Chat	Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization	2010	Benjamin Recht Maryam Fazel Pablo A. Parrilo	1
+	Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis	2018	George Thomas César Laurent Xavier Bouthillier Nicolas Ballas Pascal Vincent	1
+	Hyperbolic Neural Networks	2018	Octavian-Eugen Ganea Gary Bécigneul Thomas Hofmann	1
+ PDF Chat	A Singular Value Thresholding Algorithm for Matrix Completion	2010	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen	1
+ PDF Chat	Tensor Completion Based on Triple Tubal Nuclear Norm	2018	Dongxu Wei Andong Wang Xiaoqin Feng Boyu Wang Bo Wang	1
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	1