Lan Gao

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All published works

Action	Title	Year	Authors
+ PDF Chat	Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models	2024	Elynn Chen Xi Chen Lan Gao Jiayu Li
+ PDF Chat	Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models	2024	Elynn Chen Xi Chen Lan Gao Jiayu Li
+	ARK: Robust Knockoffs Inference with Coupling	2023	Yingying Fan Lan Gao Jinchi Lv
+ PDF Chat	Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	2022	Emre Demirkaya Yingying Fan Lan Gao Jinchi Lv Patrick Vossler Jingbo Wang
+ PDF Chat	Refined Cramér-type moderate deviation theorems for general self-normalized sums with applications to dependent random variables and winsorized mean	2022	Lan Gao Qi-Man Shao Jiasheng Shi
+	Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors	2022	Emre Demirkaya Yingying Fan Lan Gao Jinchi Lv Patrick Vossler Jingbo Wang
+ PDF Chat	Asymptotic distributions of high-dimensional distance correlation inference	2021	Lan Gao Yingying Fan Jinchi Lv Qi-Man Shao
+	Compressing LSTM Networks by Matrix Product Operators	2020	Ze-Feng Gao Xingwei Sun Lan Gao Junfeng Li LU Zhong-yi
+	Asymptotic Distributions of High-Dimensional Nonparametric Inference with Distance Correlation	2019	Lan Gao Jinchi Lv Qi-Man Shao
+	Asymptotic Distributions of High-Dimensional Distance Correlation Inference	2019	Lan Gao Yingying Fan Jinchi Lv Qi-Man Shao
+	Towards a General and Efficient Linked-List Hash Table on GPUs	2019	Lan Gao Yunlong Xu Chongyang Xu Rui Wang Hailong Yang Zhongzhi Luan Depei Qian
+	Nonparametric Inference of Heterogeneous Treatment Effects with Two-Scale Distributional Nearest Neighbors	2018	Emre Demirkaya Yingying Fan Lan Gao Jinchi Lv Patrick Vossler Jingbo Wang

Common Coauthors

Coauthor	Papers Together
Jinchi Lv	7
Yingying Fan	6
Qi-Man Shao	4
Patrick Vossler	3
Emre Demirkaya	3
Xi Chen	2
Elynn Chen	2
Jiayu Li	2
Zhongzhi Luan	1
Depei Qian	1
Ze-Feng Gao	1
Yunlong Xu	1
Rui Wang	1
Hailong Yang	1
Junfeng Li	1
Jingbo Wang	1
Jingbo Wang	1
Jingbo Wang	1
Xingwei Sun	1
Jiasheng Shi	1
LU Zhong-yi	1
Chongyang Xu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	High-dimensional classification using features annealed independence rules	2008	Jianqing Fan Yingying Fan	3
+ PDF Chat	Distribution Free Tests of Independence Based on the Sample Distribution Function	1961	J. R. Blum J. Kiefer M. Rosenblatt	2
+	A Distribution-Free Theory of Nonparametric Regression	2002	László Györfi Michael Köhler Adam Krzyżak Harro Walk	2
+ PDF Chat	Applications of distance correlation to time series	2018	Richard A. Davis Muneya Matsui Thomas Mikosch Phyllis Wan	2
+ PDF Chat	Asymptotic distributions of high-dimensional distance correlation inference	2021	Lan Gao Yingying Fan Jinchi Lv Qi-Man Shao	2
+ PDF Chat	Exact bootstrap k-nearest neighbor learners	2008	Brian M. Steele	2
+ PDF Chat	A Direct Approach to False Discovery Rates	2002	John D. Storey	2
+ PDF Chat	Testing Mutual Independence in High Dimension via Distance Covariance	2017	Shun Yao Xianyang Zhang Xiaofeng Shao	2
+ PDF Chat	Generalized random forests	2019	Susan Athey Julie Tibshirani Stefan Wager	2
+	Interaction pursuit in high-dimensional multi-response regression via distance correlation	2017	Yinfei Kong Daoji Li Yingying Fan Jinchi Lv	2
+ PDF Chat	The hardness of conditional independence testing and the generalised covariance measure	2020	Rajen D. Shah Jonas Peters	2
+ PDF Chat	Measuring and testing dependence by correlation of distances	2007	Gábor J. Székely Maria L. Rizzo Н. К. Бакиров	2
+ PDF Chat	Independent Component Analysis via Distance Covariance	2016	David S. Matteson Ruey S. Tsay	2
+ PDF Chat	The Conditional Permutation Test for Independence While Controlling for Confounders	2019	Thomas B. Berrett Yi Wang Rina Foygel Barber Richard J. Samworth	2
+	On the rate of convergence of the bagged nearest neighbor estimate	2010	Gérard Biau Frédéric Cérou Arnaud Guyader	2
+ PDF Chat	Bootstrap Methods: Another Look at the Jackknife	1979	B. Efron	2
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	2
+ PDF Chat	Estimation and Inference of Heterogeneous Treatment Effects using Random Forests	2017	Stefan Wager Susan Athey	2
+	Generalizing distance covariance to measure and test multivariate mutual dependence via complete and incomplete V-statistics	2018	Ze Jin David S. Matteson	2
+ PDF Chat	Symmetric rank covariances: a generalized framework for nonparametric measures of dependence	2018	Luca Weihs Mathias Drton Nicolai Meinshausen	2
+	Supervised dimensionality reduction via distance correlation maximization	2018	Praneeth Vepakomma Chetan Tonde Ahmed Elgammal	2
+	Partial distance correlation with methods for dissimilarities	2014	Gábor J. Székely Maria L. Rizzo	2
+ PDF Chat	Distance covariance for stochastic processes	2018	Muneya Matsui Thomas Mikosch Gennady Samorodnitsky	2
+ PDF Chat	Using distance covariance for improved variable selection with application to learning genetic risk models	2015	Jing Kong Sijian Wang Grace Wahba	2
+	Optimal weighted nearest neighbour classifiers	2012	Richard J. Samworth	2
+	Distance covariance in metric spaces	2013	Russell Lyons	2
+	The distance correlation<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si38.gif" display="inline" overflow="scroll"><mml:mi>t</mml:mi></mml:math>-test of independence in high dimension	2013	Gábor J. Székely Maria L. Rizzo	2
+	Local Properties of <i>k</i>-NN Regression Estimates	1981	Y. P. Mack	2
+ PDF Chat	A Non-Parametric Test of Independence	1948	Wassily Hoeffding	2
+	NOTES ON BIAS IN ESTIMATION	1956	M. H. Quenouille	2
+ PDF Chat	Conditional mean and quantile dependence testing in high dimension	2018	Xianyang Zhang Shun Yao Xiaofeng Shao	2
+ PDF Chat	Brownian distance covariance	2009	Gábor J. Székely Maria L. Rizzo	2
+	A Consistent Test for Bivariate Dependence	1993	Andrey Feuerverger	2
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	2
+	Measuring nonlinear dependence in time‐series, a distance correlation approach	2012	Zhou Zhou	2
+ PDF Chat	Optimal Global Rates of Convergence for Nonparametric Regression	1982	Charles J. Stone	2
+ PDF Chat	A Quadratic Measure of Deviation of Two-Dimensional Density Estimates and A Test of Independence	1975	M. Rosenblatt	2
+ PDF Chat	Feature Screening via Distance Correlation Learning	2012	Runze Li Wei Zhong Li Zhu	2
+	A Unifying Tool for Linear Multivariate Statistical Methods: The RV- Coefficient	1976	P. C. Robert Yves Escoufier	2
+ PDF Chat	Fast Computing for Distance Covariance	2015	Xiaoming Huo Gábor J. Székely	2
+ PDF Chat	Martingale Difference Correlation and Its Use in High-Dimensional Variable Screening	2014	Xiaofeng Shao Jingsi Zhang	2
+	Approximate Tests of Correlation in Time-Series	1949	M. H. Quenouille	2
+ PDF Chat	Distance Metrics for Measuring Joint Dependence with Application to Causal Inference	2018	Shubhadeep Chakraborty Xianyang Zhang	2
+	Efficient multivariate entropy estimation via $k$-nearest neighbour distances	2018	Thomas B. Berrett Richard J. Samworth Ming Yuan	2
+	A NEW MEASURE OF RANK CORRELATION	1938	M. G. Kendall	2
+ PDF Chat	Weak convergence for weighted empirical processes of dependent sequences	1996	Qi-Man Shao Hao Yu	1
+ PDF Chat	Asymptotic Normality of Simple Linear Rank Statistics Under Alternatives II	1969	Václav Dupač Jaroslav Hájek	1
+	None	1999	Qi-Man Shao	1
+	Tensor-Train Decomposition	2011	Ivan Oseledets	1
+	The Jackknife Estimate of Variance	1981	B. Efron C. Stein	1