Bin Yu

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All published works
Action Title Year Authors
+ PDF Chat Deep Sparse Latent Feature Models for Knowledge Graph Completion 2024 Haotian Li
Rui Zhang
Lingzhi Wang
Bin Yu
Youwei Wang
Yuliang Wei
Kai Wang
Richard Yi Da Xu
Bailing Wang
+ PDF Chat KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data 2024 Andy Zhou
Xiaojun Xu
Ramesh Raghunathan
Alok Lal
Xiaohong Guan
Bin Yu
Bo Li
+ PDF Chat Mechanistic Interpretation through Contextual Decomposition in Transformers 2024 Aliyah R. Hsu
Yeshwanth Cherapanamjeri
Anobel Y. Odisho
Peter R. Carroll
Bin Yu
+ PDF Chat Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency 2024 Jingfeng Wu
Peter L. Bartlett
Matus Telgarsky
Bin Yu
+ Enhancing Peak Network Traffic Prediction via Time-Series Decomposition 2023 Tucker Stewart
Bin Yu
Anderson C. A. Nascimento
Juhua Hu
+ KĂźnneth formulas for path homology 2023 Fang Li
Bin Yu
+ MDI+: A Flexible Random Forest-Based Feature Importance Framework 2023 Abhineet Agarwal
Ana Kenney
Yan Shuo Tan
Tiffany M. Tang
Bin Yu
+ Improving Prototypical Part Networks with Reward Reweighing, Reselection, and Retraining 2023 Robin Netzorg
Jiaxun Li
Bin Yu
+ A stability-driven protocol for drug response interpretable prediction (staDRIP) 2020 Xiao Li
Tiffany M. Tang
Xuewei Wang
Jean Pierre A. Kocher
Bin Yu
+ Unique Sharp Local Minimum in $\ell_1$-minimization Complete Dictionary Learning 2019 Yu Wang
Siqi Wu
Bin Yu
+ CharBot: A Simple and Effective Method for Evading DGA Classifiers 2019 Jonathan Peck
Claire Nie
Raaghavi Sivaguru
Charles Grumer
Femi Olumofin
Bin Yu
Anderson C. A. Nascimento
Martine De Cock
+ Signed iterative random forests to identify enhancer-associated transcription factor binding 2018 Karl Kumbier
Sumanta Basu
James B. Brown
S Celniker
Bin Yu
+ The geometry of kernelized spectral clustering 2015 Geoffrey Schiebinger
Martin J. Wainwright
Bin Yu
+ Local identifiability of $l_1$-minimization dictionary learning: a sufficient and almost necessary condition 2015 Siqi Wu
Bin Yu
+ The shuffle estimator for explainable variance in fMRI experiments 2013 Yuval Benjamini
Bin Yu
+ Stability 2013 Bin Yu
+ Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse High-dimensional Linear Regression 2013 Hanzhong Liu
Bin Yu
+ The Lasso under Poisson-like heteroscedasticity 2013 Jinzhu Jia
Karl Rohe
Bin Yu
+ Impact of regularization on Spectral Clustering 2013 Antony Joseph
Bin Yu
+ PDF Chat Asymptotic properties of Lasso+mLS and Lasso+Ridge in sparse high-dimensional linear regression 2013 Hanzhong Liu
Bin Yu
+ A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers 2012 Sahand Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
+ Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows 2012 Julien Mairal
Bin Yu
+ Co-clustering for directed graphs: the Stochastic co-Blockmodel and spectral algorithm Di-Sim 2012 Karl Rohe
Tai Qin
Bin Yu
+ PDF Chat Encoding and decoding V1 fMRI responses to natural images with sparse nonparametric models 2011 Vincent Q. Vu
Pradeep Ravikumar
Thomas Naselaris
Kendrick Kay
Jack L. Gallant
Bin Yu
+ Restricted Eigenvalue Properties for Correlated Gaussian Designs 2010 Garvesh Raskutti
Martin J. Wainwright
Bin Yu
+ PDF Chat The composite absolute penalties family for grouped and hierarchical variable selection 2009 Peng Zhao
Guilherme V. Rocha
Bin Yu
+ PDF Chat Lasso-type recovery of sparse representations for high-dimensional data 2009 Nicolai Meinshausen
Bin Yu
+ Asymptotic distribution and sparsistency for l1-penalized parametric M-estimators with applications to linear SVM and logistic regression 2009 Guilherme V. Rocha
Xing Wang
Bin Yu
+ Minimax rates of estimation for high-dimensional linear regression over $\ell_q$-balls 2009 Garvesh Raskutti
Martin J. Wainwright
Bin Yu
+ PDF Chat A Path Following Algorithm for Sparse Pseudo-Likelihood Inverse Covariance Estimation (SPLICE) 2008 Guilherme V. Rocha
Peng Zhao
Bin Yu
+ PDF Chat On Model Selection Consistency of the Elastic Net When p >> n 2008 Jinzhu Jia
Bin Yu
+ A path following algorithm for Sparse Pseudo-Likelihood Inverse Covariance Estimation (SPLICE) 2008 Guilherme V. Rocha
Peng Zhao
Bin Yu
+ Stagewise Lasso 2007 Peng Zhao
Bin Yu
+ PDF Chat Discussion: A tale of three cousins: Lasso, L2Boosting and Dantzig 2007 Nicolai Meinshausen
Guilherme V. Rocha
Bin Yu
+ Sparse Boosting 2006 Peter BĂźhlmann
Bin Yu
+ Known-plaintext attack on double phase encoding encryption technique 2006 Xiang Peng
Peng Zhang
Hengzheng Wei
Bin Yu
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
19
+ High-dimensional graphs and variable selection with the Lasso 2006 Nicolai Meinshausen
Peter BĂźhlmann
10
+ PDF Chat Least angle regression 2004 Bradley Efron
Trevor Hastie
Iain M. Johnstone
Robert Tibshirani
10
+ On Model Selection Consistency of Lasso 2006 Peng Zhao
Bin Yu
10
+ PDF Chat The Adaptive Lasso and Its Oracle Properties 2006 Hui Zou
9
+ On the LASSO and Its Dual 2000 M. R. Osborne
Brett Presnell
Berwin A. Turlach
9
+ PDF Chat The Dantzig selector: Statistical estimation when p is much larger than n 2007 Emmanuel J. Candès
Terence Tao
8
+ PDF Chat Lasso-type recovery of sparse representations for high-dimensional data 2009 Nicolai Meinshausen
Bin Yu
8
+ PDF Chat Asymptotics for lasso-type estimators 2000 Wenjiang Fu
Keith Knight
8
+ PDF Chat The sparsity and bias of the Lasso selection in high-dimensional linear regression 2008 Cun-Hui Zhang
Jian Huang
7
+ PDF Chat Sparsity oracle inequalities for the Lasso 2007 Florentina Bunea
Alexandre B. Tsybakov
Marten Wegkamp
6
+ PDF Chat Simultaneous analysis of Lasso and Dantzig selector 2009 Peter J. Bickel
Ya’acov Ritov
Alexandre B. Tsybakov
6
+ Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso) 2009 Martin J. Wainwright
6
+ PDF Chat High-dimensional generalized linear models and the lasso 2008 Sara A. van de Geer
5
+ Persistence in high-dimensional linear predictor selection and the virtue of overparametrization 2004 Eitan Greenshtein
Ya’acov Ritov
5
+ Sharp thresholds for high-dimensional and noisy recovery of sparsity 2006 Martin J. Wainwright
5
+ Probability in Banach Spaces: Isoperimetry and Processes 1991 Michel Ledoux
Michel Talagrand
5
+ PDF Chat Decoding by Linear Programming 2005 Emmanuel J. Candès
Terence Tao
5
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
5
+ Local Operator Theory, Random Matrices and Banach Spaces 2001 Kenneth R. Davidson
Stanisław J. Szarek
4
+ Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties 2001 Jianqing Fan
Runze Li
4
+ Information Theory and an Extension of the Maximum Likelihood Principle 1998 H. Akaike
4
+ PDF Chat Estimating the Dimension of a Model 1978 Gideon Schwarz
4
+ Stagewise Lasso 2007 Peng Zhao
Bin Yu
4
+ PDF Chat Model Selection and Estimation in Regression with Grouped Variables 2005 Ming Yuan
Yi Lin
4
+ PDF Chat Bootstrap Methods: Another Look at the Jackknife 1979 B. Efron
3
+ PDF Chat The Group Lasso for Logistic Regression 2008 Lukas Meier
Sara van de Geer
Peter BĂźhlmann
3
+ For most large underdetermined systems of equations, the minimal 𝓁<sub>1</sub>‐norm near‐solution approximates the sparsest near‐solution 2006 David L. Donoho
3
+ Better Subset Regression Using the Nonnegative Garrote 1995 Leo Breiman
3
+ PDF Chat Some Asymptotic Theory for the Bootstrap 1981 Peter J. Bickel
David A. Freedman
3
+ Ridge Regression: Biased Estimation for Nonorthogonal Problems 1970 Arthur E. Hoerl
Robert W. Kennard
3
+ PDF Chat Pathwise coordinate optimization 2007 Jerome H. Friedman
Trevor Hastie
Holger HĂśfling
Robert Tibshirani
3
+ Uncertainty principles and ideal atomic decomposition 2001 David L. Donoho
Xiaoming Huo
3
+ PDF Chat Minimax Rates of Estimation for High-Dimensional Linear Regression Over $\ell_q$-Balls 2011 Garvesh Raskutti
Martin J. Wainwright
Bin Yu
3
+ Bolasso 2008 Francis Bach
3
+ PDF Chat Recovery of Exact Sparse Representations in the Presence of Bounded Noise 2005 J.-J. Fuchs
3
+ Ridge Regression: Biased Estimation for Nonorthogonal Problems 2000 Arthur E. Hoerl
Robert W. Kennard
3
+ A Statistical View of Some Chemometrics Regression Tools 1993 lldiko E. Frank
Jerome H. Friedman
3
+ PDF Chat Stochastic blockmodels and community structure in networks 2011 Brian Karrer
M. E. J. Newman
2
+ PDF Chat Algebraic connectivity of graphs 1973 Miroslav Fiedler
2
+ The Jackknife, the Bootstrap and Other Resampling Plans 1982 Bradley Efron
2
+ PDF Chat Empirical graph Laplacian approximation of Laplace–Beltrami operators: Large sample results 2006 Evarist Giné
Vladimir Koltchinskii
2
+ Cross-Validatory Choice and Assessment of Statistical Predictions 1974 M. Stone
2
+ PDF Chat High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence 2011 Pradeep Ravikumar
Martin J. Wainwright
Garvesh Raskutti
Bin Yu
2
+ Empirical Processes in M-Estimation 2000 Sara A. van de Geer
2
+ PDF Chat On the conditions used to prove oracle results for the Lasso 2009 Sara A. van de Geer
Peter BĂźhlmann
2
+ Simple, Efficient, and Neural Algorithms for Sparse Coding 2015 Sanjeev Arora
Rong Ge
Tengyu Ma
Ankur Moitra
2
+ Model Selection and the Principle of Minimum Description Length 2001 Mark Hansen
Bin Yu
2
+ Group lasso with overlap and graph lasso 2009 Laurent Jacob
Guillaume Obozinski
Jean‐Philippe Vert
2
+ Sparse Covariance Selection via Robust Maximum Likelihood Estimation 2005 Laurent El Ghaoui
2