Yachong Yang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Selection and Aggregation of Conformal Prediction Sets	2024	Yachong Yang Arun Kumar Kuchibhotla
+ PDF Chat	Doubly robust calibration of prediction sets under covariate shift	2024	Yachong Yang Arun Kumar Kuchibhotla Eric Tchetgen Tchetgen
+	Forster-Warmuth Counterfactual Regression: A Unified Learning Approach	2023	Yachong Yang Arun Kumar Kuchibhotla Eric Tchetgen Tchetgen
+	The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions	2022	Hua Wang Yachong Yang Weijie Su
+	Doubly Robust Calibration of Prediction Sets under Covariate Shift	2022	Yachong Yang Arun Kumar Kuchibhotla Eric Tchetgen Tchetgen
+	Scalable and efficient inference via CPE	2021	Yu Qin Yang Li Yumeng Wang Yachong Yang Zemin Zheng
+	Finite-sample Efficient Conformal Prediction	2021	Yachong Yang Arun Kumar Kuchibhotla
+	The Complete Lasso Tradeoff Diagram	2020	Hua Wang Yachong Yang Zhiqi Bu Weijie Su
+	The Complete Lasso Tradeoff Diagram	2020	Hua Wang Yachong Yang Zhiqi Bu Weijie Su
+	The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions	2020	Hua Wang Yachong Yang Weijie Su

Common Coauthors

Coauthor	Papers Together
Arun Kumar Kuchibhotla	5
Weijie Su	4
Hua Wang	4
Eric Tchetgen Tchetgen	3
Zhiqi Bu	2
Yumeng Wang	1
Yang Li	1
Zemin Zheng	1
Yu Qin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	The Tight Constant in the Dvoretzky-Kiefer-Wolfowitz Inequality	1990	Pascal Massart	3
+ PDF Chat	Distribution-Free Prediction Sets	2012	Jing Lei James M. Robins Larry Wasserman	3
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+ PDF Chat	Distribution-Free Predictive Inference for Regression	2017	Jing Lei Max G’Sell Alessandro Rinaldo Ryan J. Tibshirani Larry Wasserman	3
+ PDF Chat	Distribution-free Prediction Bands for Non-parametric Regression	2013	Jing Lei Larry Wasserman	3
+ PDF Chat	The LASSO Risk for Gaussian Matrices	2011	Mohsen Bayati Andrea Montanari	3
+ PDF Chat	Predictive inference with the jackknife+	2021	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani	3
+ PDF Chat	Consistent parameter estimation for LASSO and approximate message passing	2018	Ali Mousavi Arian Maleki Richard G. Baraniuk	2
+	Message-passing algorithms for compressed sensing	2009	David L. Donoho Arian Maleki Andrea Montanari	2
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	2
+ PDF Chat	Nested conformal prediction and quantile out-of-bag ensemble methods	2021	Chirag Gupta Arun Kumar Kuchibhotla Aaditya Ramdas	2
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	2
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	2
+	SLOPE—Adaptive variable selection via convex optimization	2015	Małgorzata Bogdan E. van den Berg Chiara Sabatti Weijie Su Emmanuel J. Candès	2
+ PDF Chat	The Dantzig selector: Statistical estimation when p is much larger than n	2007	Emmanuel J. Candès Terence Tao	2
+ PDF Chat	The limits of distribution-free conditional predictive inference	2020	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani	2
+	Predictive Inference Is Free with the Jackknife+-after-Bootstrap	2020	Byol Kim Xu Chen Rina Foygel Barber	2
+ PDF Chat	The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing	2011	Mohsen Bayati Andrea Montanari	2
+	False discoveries occur early on the Lasso path	2017	Weijie Su Małgorzata Bogdan Emmanuel J. Candès	2
+ PDF Chat	Cross-conformal predictors	2013	Vladimir Vovk	2
+	Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing	2009	David L. Donoho Jared Tanner	2
+	Quantile Regression Forests	2006	Nicolai Meinshausen	2
+ PDF Chat	The Noise-Sensitivity Phase Transition in Compressed Sensing	2011	David L. Donoho Arian Maleki Andrea Montanari	2
+	Performance of empirical risk minimization in linear aggregation	2016	Guillaume Lecué Shahar Mendelson	2
+ PDF Chat	Asymptotic properties for combined L1 and concave regularization	2013	Yingying Fan Jinchi Lv	1
+ PDF Chat	A Simple Proof of the Restricted Isometry Property for Random Matrices	2008	Richard G. Baraniuk Mark A. Davenport Ronald DeVore Michael B. Wakin	1
+ PDF Chat	�ber Abbildung von Mannigfaltigkeiten	1912	L. E. J. Brouwer	1
+	A Sparse-Group Lasso	2012	Noah Simon Jerome H. Friedman Trevor Hastie Robert Tibshirani	1
+	Asymptotic normality and optimalities in estimation of large Gaussian graphical models	2015	Zhao Ren Tingni Sun Cun‐Hui Zhang Harrison H. Zhou	1
+	Nonparametric estimation of regression functions with both categorical and continuous data	2003	Jeffrey S. Racine Qi Li	1
+	Nonparametric Estimation of Conditional CDF and Quantile Functions With Mixed Categorical and Continuous Data	2008	Qi Li Jeffrey S. Racine	1
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	1
+ PDF Chat	A conformal prediction approach to explore functional data	2013	Jing Lei Alessandro Rinaldo Larry Wasserman	1
+ PDF Chat	A Perturbation Method for Inference on Regularized Regression Estimates	2011	Jessica Minnier Lü Tian Tianxi Cai	1
+	Convergence rates and asymptotic normality for series estimators	1997	Whitney K. Newey	1
+	Efficient and Adaptive Estimation for Semiparametric Models.	1994	Anton Schίck Peter J. Bickel Chris A. J. Klaassen Ya’acov Ritov Jon A. Wellner	1
+	Probability and Statistics (Fourth Edition)	2013	Jean-Bernard Saloman	1
+	Probability in Banach Spaces: Isoperimetry and Processes	1991	Michel Ledoux Michel Talagrand	1
+ PDF Chat	High-Dimensional Centrally Symmetric Polytopes with Neighborliness Proportional to Dimension	2005	David L. Donoho	1
+	Counting faces of randomly projected polytopes when the projection radically lowers dimension	2008	David L. Donoho Jared Tanner	1
+	Weak Convergence and Empirical Processes	1996	Aad van der Vaart Jon A. Wellner	1
+	Efficiency of conformalized ridge regression	2014	Evgeny Burnaev Vladimir Vovk	1
+	A note on the group lasso and a sparse group lasso	2010	Jerome H. Friedman Trevor Hastie Robert Tibshirani	1
+	Statistical significance in high-dimensional linear models	2013	Peter Bühlmann	1
+	Type S error rates for classical and Bayesian single and multiple comparison procedures	2000	Andrew Gelman Francis Tuerlinckx	1
+	Estimating LASSO Risk and Noise Level	2013	Mohsen Bayati Murat A. Erdogdu Andrea Montanari	1
+	Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)	2009	Martin J. Wainwright	1
+	Confidence intervals and hypothesis testing for high-dimensional regression	2014	Adel Javanmard Andrea Montanari	1
+	Valid post-selection inference	2013	Richard A. Berk Lawrence Brown Andreas Buja Kai Zhang Linda Zhao	1
+ PDF Chat	High Dimensional Ordinary Least Squares Projection for Screening Variables	2015	Xiangyu Wang Chenlei Leng	1