<h1>Chandrasekaran, Venkat</h1>
<h2>Article from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2>
<ul>
<li>Taeb, Armeen and Bühlmann, Peter, el al. (2024) <a href="https://authors.library.caltech.edu/records/bq29r-5a373">Model selection over partially ordered sets</a>; Proceedings of the National Academy of Sciences; Vol. 121; No. 8; e2314228121; PMCID PMC10895251; <a href="https://doi.org/10.1073/pnas.2314228121">10.1073/pnas.2314228121</a></li>
<li>Saunderson, James and Chandrasekaran, Venkat (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20201016-144006753">Terracini convexity</a>; Mathematical Programming; <a href="https://doi.org/10.1007/s10107-022-01774-y">10.1007/s10107-022-01774-y</a></li>
<li>Candogan, Utkan Onur and Chandrasekaran, Venkat (2022) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190626-090040899">Convex graph invariant relaxations for graph edit distance</a>; Mathematical Programming; Vol. 191; No. 2; 595-629; <a href="https://doi.org/10.1007/s10107-020-01564-4">10.1007/s10107-020-01564-4</a></li>
<li>Taeb, Armeen and Shah, Parikshit, el al. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190626-161131951">False Discovery and Its Control in Low Rank Estimation</a>; Journal of the Royal Statistical Society: Series B; Vol. 82; No. 4; 997-1027; <a href="https://doi.org/10.1111/rssb.12387">10.1111/rssb.12387</a></li>
<li>Soh, Yong Sheng and Chandrasekaran, Venkat (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170614-100357188">Learning Semidefinite-Representable Regularizers</a>; Foundations of Computational Mathematics; Vol. 19; No. 2; 375-434; <a href="https://doi.org/10.1007/s10208-018-9386-z">10.1007/s10208-018-9386-z</a></li>
<li>Candogan, Utkan-Onur and Chandrasekaran, Venkat (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170614-124916669">Finding Planted Subgraphs with Few Eigenvalues using the
Schur-Horn Relaxation</a>; SIAM Journal on Optimization; Vol. 28; No. 1; 735-759; <a href="https://doi.org/10.1137/16M1075144">10.1137/16M1075144</a></li>
<li>Taeb, Armeen and Chandrasekaran, Venkat (2018) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170614-105229927">Interpreting Latent Variables in Factor Models via Convex Optimization</a>; Mathematical Programming; Vol. 167; No. 1; 129-154; <a href="https://doi.org/10.1007/s10107-017-1187-7">10.1007/s10107-017-1187-7</a></li>
<li>Taeb, A. and Reager, J. T., el al. (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20171020-154910322">A Statistical Graphical Model of the California Reservoir System</a>; Water Resources Research; Vol. 53; No. 11; 9721-9739; <a href="https://doi.org/10.1002/2017WR020412">10.1002/2017WR020412</a></li>
<li>Soh, Yong Sheng and Chandrasekaran, Venkat (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170525-100137066">High-dimensional change-point estimation: Combining filtering with convex optimization</a>; Applied and Computational Harmonic Analysis; Vol. 43; No. 1; 122-147; <a href="https://doi.org/10.1016/j.acha.2015.11.003">10.1016/j.acha.2015.11.003</a></li>
<li>Chandrasekaran, Venkat and Shah, Parikshit (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170216-104506601">Relative entropy optimization and its applications</a>; Mathematical Programming; Vol. 161; No. 1-2; 1-32; <a href="https://doi.org/10.1007/s10107-016-0998-2">10.1007/s10107-016-0998-2</a></li>
<li>Matni, Nikolai and Chandrasekaran, Venkat (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20161208-120540508">Regularization for Design</a>; IEEE Transactions on Automatic Control; Vol. 61; No. 12; 3991-4006; <a href="https://doi.org/10.1109/TAC.2016.2517570">10.1109/TAC.2016.2517570</a></li>
<li>Li, Yen-Li and Chandrasekaran, Viswanathan, el al. (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160613-141038489">Primate TRIM5 proteins form hexagonal nets on HIV-1 capsids</a>; eLife; Vol. 5; Art. No. 16269; PMCID PMC4936896; <a href="https://doi.org/10.7554/eLife.16269">10.7554/eLife.16269</a></li>
<li>Chandrasekaran, Venkat and Shah, Parikshit (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20161017-134459797">Relative Entropy Relaxations for Signomial Optimization</a>; SIAM Journal on Optimization; Vol. 26; No. 2; 1147-1173; <a href="https://doi.org/10.1137/140988978">10.1137/140988978</a></li>
<li>Berthet, Quentin and Chandrasekaran, Venkat (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160121-082428259">Resource Allocation for Statistical Estimation</a>; Proceedings of the IEEE; Vol. 104; No. 1; 111-125; <a href="https://doi.org/10.1109/JPROC.2015.2494098">10.1109/JPROC.2015.2494098</a></li>
<li>Chandrasekaran, Venkat and Jordan, Michael I. (2013) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20130603-131602451">Computational and statistical tradeoffs via convex relaxation</a>; Proceedings of the National Academy of Sciences of the United States of America; Vol. 110; No. 13; E1181-E1190; PMCID PMC3612621; <a href="https://doi.org/10.1073/pnas.1302293110">10.1073/pnas.1302293110</a></li>
<li>Saunderson, J. and Chandrasekaran, V., el al. (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20121004-133456681">Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting</a>; SIAM Journal on Matrix Analysis and Applications; Vol. 33; No. 4; 1395-1416; <a href="https://doi.org/10.1137/120872516">10.1137/120872516</a></li>
<li>Chandrasekaran, Venkat and Recht, Benjamin, el al. (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20121004-152325296">The Convex Geometry of Linear Inverse Problems</a>; Foundations of Computational Mathematics; Vol. 12; No. 6; 805-849; <a href="https://doi.org/10.1007/s10208-012-9135-7">10.1007/s10208-012-9135-7</a></li>
<li>Chandrasekaran, Venkat and Parrilo, Pablo A., el al. (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20130110-100237034">Convex Graph Invariants</a>; SIAM Review; Vol. 54; No. 3; 513-541; <a href="https://doi.org/10.1137/100816900">10.1137/100816900</a></li>
<li>Liu, Ying and Chandrasekaran, Venkat, el al. (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20120820-094221711">Feedback Message Passing for Inference in Gaussian Graphical Models</a>; IEEE Transactions on Signal Processing; Vol. 60; No. 8; 4135-4150; <a href="https://doi.org/10.1109/TSP.2012.2195656">10.1109/TSP.2012.2195656</a></li>
<li>Chandrasekaran, Venkat and Parrilo, Pablo A., el al. (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20130205-141004858">Rejoinder: Latent variable graphical model selection via convex optimization</a>; Annals of Statistics; Vol. 40; No. 4; 2005-2013; <a href="https://doi.org/10.1214/12-AOS1020">10.1214/12-AOS1020</a></li>
<li>Chandrasekaran, Venkat and Parrilo, Pablo A., el al. (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20130207-085454891">Latent Variable Graphical Model Selection via Convex Optimization</a>; Annals of Statistics; Vol. 40; No. 4; 1935-1967; <a href="https://doi.org/10.1214/11-AOS949">10.1214/11-AOS949</a></li>
<li>Shah, Parikshit and Chandrasekaran, Venkat (2012) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20121004-134807001">Group Symmetry and Covariance Regularization</a>; Electronic Journal of Statistics; Vol. 6; 1600-1640; <a href="https://doi.org/10.1214/12-EJS723">10.1214/12-EJS723</a></li>
<li>Chandrasekaran, Venkat and Sanghavi, Sujay, el al. (2011) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20121008-095909823">Rank-Sparsity Incoherence for Matrix Decomposition</a>; SIAM Journal of Optimization; Vol. 21; No. 2; 572-596; <a href="https://doi.org/10.1137/090761793">10.1137/090761793</a></li>
<li>Chandrasekaran, Venkat and Chertkov, Misha, el al. (2011) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20121008-092632684">Counting Independent Sets Using the Bethe Approximation</a>; SIAM Journal on Discrete Mathematics; Vol. 25; No. 2; 1012-1034; <a href="https://doi.org/10.1137/090767145">10.1137/090767145</a></li>
<li>Choi, Myung Jin and Chandrasekaran, Venkat (2010) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20121008-094406124">Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure</a>; IEEE Transactions on Signal Processing; Vol. 58; No. 3; 1012-1024; <a href="https://doi.org/10.1109/TSP.2009.2036042">10.1109/TSP.2009.2036042</a></li>
<li>Rich, Rebecca L. and Papalia, Giuseppe A., el al. (2009) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20090901-094826364">A global benchmark study using affinity-based biosensors</a>; Analytical Biochemistry; Vol. 386; No. 2; 194-216; PMCID PMC3793259; <a href="https://doi.org/10.1016/j.ab.2008.11.021">10.1016/j.ab.2008.11.021</a></li>
<li>Chandrasekaran, Venkat and Wakin, Michael B., el al. (2009) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20121004-161000948">Representation and Compression of Multidimensional Piecewise Functions Using Surflets</a>; IEEE Transactions on Information Theory; Vol. 55; No. 1; 374-400; <a href="https://doi.org/10.1109/TIT.2008.2008153">10.1109/TIT.2008.2008153</a></li>
<li>Choi, Myung Jin and Chandrasekaran, Venkat, el al. (2008) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20121004-155614638">Multiscale stochastic modeling for tractable inference and data assimilation</a>; Computer Methods in Applied Mechanics and Engineering; Vol. 197; No. 43-44; 3492-3515; <a href="https://doi.org/10.1016/j.cma.2007.12.021">10.1016/j.cma.2007.12.021</a></li>
<li>Chandrasekaran, Venkat and Johnson, Jason K., el al. (2008) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20121005-083046659">Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis</a>; IEEE Transactions on Signal Processing; Vol. 56; No. 5; 1916-1930; <a href="https://doi.org/10.1109/TSP.2007.912280">10.1109/TSP.2007.912280</a></li>
<li>Johnson, Jason K. and Chandrasekaran, Venkat, el al. (2007) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20121009-082035601">Learning Markov Structure by Maximum Entropy Relaxation</a>; Proceedings of Machine Learning Research; Vol. 2; 203-210</li>
</ul>