Sreejith Kallummil

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Common Coauthors
Coauthor Papers Together
Sheetal Kalyani 13
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat The Dantzig selector: Statistical estimation when p is much larger than n 2007 Emmanuel J. Candès
Terence Tao
5
+ Multiuser Detection via Compressive Sensing 2012 Byonghyo Shim
Byung-Kwen Song
4
+ High SNR Consistent Thresholding for Variable Selection 2015 K Sreejith
Sheetal Kalyani
4
+ PDF Chat Support Recovery With Orthogonal Matching Pursuit in the Presence of Noise 2015 Jian Wang
4
+ The Consistency of MDL for Linear Regression Models With Increasing Signal-to-Noise Ratio 2011 Daniel Schmidt
Enes Makalic
4
+ PDF Chat High SNR consistent compressive sensing 2017 Sreejith Kallummil
Sheetal Kalyani
4
+ Near-ideal model selection by ℓ1 minimization 2009 Emmanuel J. Candès
Yaniv Plan
4
+ High-Dimensional Regression with Unknown Variance 2012 Christophe Giraud
Sylvie Huet
Nicolas Verzélen
4
+ PDF Chat A Note on the SPICE Method 2013 Cristian R. Rojas
Dimitrios Katselis
Håkan Hjalmarsson
4
+ CoSaMP: Iterative signal recovery from incomplete and inaccurate samples 2008 Deanna Needell
Joel A. Tropp
3
+ Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit 2018 Sreejith Kallummil
Sheetal Kalyani
3
+ PDF Chat Noise Statistics Oblivious GARD For Robust Regression With Sparse Outliers 2018 Sreejith Kallummil
Sheetal Kalyani
3
+ Subset Selection in Linear Regression using Sequentially Normalized Least Squares: Asymptotic Theory 2015 Jussi Määttä
Daniel F. Schmidt
Teemu Roos
3
+ PDF Chat Subspace Pursuit for Compressive Sensing Signal Reconstruction 2009 Wei Dai
Olgica Milenković
3
+ PDF Chat Square-root lasso: pivotal recovery of sparse signals via conic programming 2011 Alexandre Belloni
Victor Chernozhukov
Lei Wang
3
+ PDF Chat Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise 2010 Zvika Ben-Haim
Yonina C. Eldar
Michael Elad
3
+ PDF Chat Robust Linear Regression Analysis— A Greedy Approach 2015 Georgios K. Papageorgiou
Pantelis Bouboulis
Sergios Theodoridis
2
+ Algorithms for robust linear regression by exploiting the connection to sparse signal recovery 2010 Yuzhe Jin
Bhaskar D. Rao
2
+ PDF Chat Decoding by Linear Programming 2005 Emmanuel J. Candès
Terence Tao
2
+ PDF Chat On Recovery of Sparse Signals Via $\ell _{1}$ Minimization 2009 Tommaso Cai
Guangwu Xu
Jun Zhang
2
+ PDF Chat Stable signal recovery from incomplete and inaccurate measurements 2006 Emmanuel J. Candès
Justin Romberg
Terence Tao
2
+ PDF Chat Compressed Sensing With Cross Validation 2009 Rachel Ward
2
+ All of Statistics: A Concise Course in Statistical Inference 2012 Larry Wasserman
2
+ PDF Chat A Probabilistic and RIPless Theory of Compressed Sensing 2011 Emmanuel J. Candès
Yaniv Plan
2
+ Asymptotic expansions of the inverse of the Beta distribution 2016 Dimitris Askitis
2
+ PDF Chat Multiple and single snapshot compressive beamforming 2015 Peter Gerstoft
Angeliki Xenaki
Christoph F. Mecklenbräuker
2
+ PDF Chat A survey of cross-validation procedures for model selection 2010 Sylvain Arlot
Alain Célisse
2
+ PDF Chat Bayesian model comparison and the BIC for regression models 2013 Jesper Kjær Nielsen
Mads Græsbøll Christensen
Søren Holdt Jensen
2
+ A Course in Probability Theory 1974 Kai Lai Chung
2
+ PDF Chat Residual Ratio Thresholding for Linear Model Order Selection 2018 Sreejith Kallummil
Sheetal Kalyani
2
+ PDF Chat Relaxed Recovery Conditions for OMP/OLS by Exploiting Both Coherence and Decay 2015 Cédric Herzet
Angélique Drémeau
Charles Soussen
2
+ PDF Chat A study of error variance estimation in Lasso regression 2015 Stephen Reid
Robert Tibshirani
Jerome H. Friedman
2
+ Linear Regression Analysis - Theory and Computing 2009 Yan Xin
Xiao Su
2
+ Robust Regression and Outlier Detection 1987 Peter J. Rousseeuw
Annick M. Leroy
1
+ Improving the Correlation Lower Bound for Simultaneous Orthogonal Matching Pursuit 2016 Jean‐François Determe
Jérôme Louveaux
Laurent Jacques
François Horlin
1
+ PDF Chat Generalized sparse covariance-based estimation 2017 Johan Swärd
Stefan Ingi Adalbjörnsson
Andreas Jakobsson
1
+ Tuning Free Orthogonal Matching Pursuit 2017 Sreejith Kallummil
Sheetal Kalyani
1
+ Robust Linear Regression via $\ell_0$ Regularization 2017 Jing Liu
Pamela C. Cosman
Bhaskar D. Rao
1
+ PDF Chat A Model Selection Criterion for High-Dimensional Linear Regression 2018 Arash Owrang
Magnus Jansson
1
+ PDF Chat A New Analysis for Support Recovery With Block Orthogonal Matching Pursuit 2018 Haifeng Li
Jinming Wen
1
+ Highly robust error correction by convex programming 2006 Emmanuel J. Candès
Paige Randall
1
+ PDF Chat Consistent parameter estimation for LASSO and approximate message passing 2018 Ali Mousavi
Arian Maleki
Richard G. Baraniuk
1
+ PDF Chat A sharp condition for exact support recovery of sparse signals with orthogonal matching pursuit 2016 Jinming Wen
Zhengchun Zhou
Jian Wang
Xiaohu Tang
Qun Mo
1
+ PDF Chat The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms 2013 Florentina Bunea
Johannes Lederer
Yiyuan She
1
+ PDF Chat Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit 2016 Chong You
Daniel P. Robinson
René Vidal
1
+ PDF Chat Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition 2016 Igor Fedorov
Ritwik Giri
Bhaskar D. Rao
Truong Q. Nguyen
1
+ PDF Chat Subspace Clustering Without Knowing the Number of Clusters: A Parameter Free Approach 2020 Vishnu Menon
Gokularam Muthukrishnan
Sheetal Kalyani
1
+ PDF Chat High SNR consistent compressive sensing without signal and noise statistics 2019 Sreejith Kallummil
Sheetal Kalyani
1
+ PDF Chat Consistent Order Estimation and Minimal Penalties 2012 Élisabeth Gassiat
Ramon van Handel
1
+ PDF Chat Model selection procedure for high‐dimensional data 2010 Yongli Zhang
Xiaotong Shen
1