Venkat Chandrasekaran

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 24

Top Venues

CoRR

Math. Program.

SIAM J. Optim.

Found. Comput. Math.

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Eliza O'Reilly, Venkat Chandrasekaran
Spectrahedral Regression. SIAM J. Optim. 33 (2) (2023)
James Saunderson, Venkat Chandrasekaran
Terracini convexity. Math. Program. 198 (1) (2023)
Anshuman Pradhan, Kyra H. Adams, Venkat Chandrasekaran, Zhen Liu, John T. Reager, Andrew M. Stuart, Michael J. Turmon
Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression. CoRR (2023)
Mareike Dressler, André Uschmajew, Venkat Chandrasekaran
Kronecker Product Approximation of Operators in Spectral Norm via Alternating SDP. SIAM J. Matrix Anal. Appl. 44 (4) (2023)
Utkan Onur Candogan, Venkat Chandrasekaran
Convex graph invariant relaxations for graph edit distance. Math. Program. 191 (2) (2022)
Mareike Dressler, André Uschmajew, Venkat Chandrasekaran
Kronecker Product Approximation of Operators in Spectral Norm via Alternating SDP. CoRR (2022)
Riley Murray, Venkat Chandrasekaran, Adam Wierman
Signomial and polynomial optimization via relative entropy and partial dualization. Math. Program. Comput. 13 (2) (2021)
Riley Murray, Venkat Chandrasekaran, Adam Wierman
Publisher Correction to: Signomial and polynomial optimization via relative entropy and partial dualization. Math. Program. Comput. 13 (2) (2021)
Riley Murray, Venkat Chandrasekaran, Adam Wierman
Newton Polytopes and Relative Entropy Optimization. Found. Comput. Math. 21 (6) (2021)
Yong Sheng Soh, Venkat Chandrasekaran
Fitting Tractable Convex Sets to Support Function Evaluations. Discret. Comput. Geom. 66 (2) (2021)
Armeen Taeb, Parikshit Shah, Venkat Chandrasekaran
Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood. CoRR (2020)
Yong Sheng Soh, Venkat Chandrasekaran
Learning Semidefinite Regularizers. Found. Comput. Math. 19 (2) (2019)
Utkan Onur Candogan, Venkat Chandrasekaran
Convex Graph Invariant Relaxations For Graph Edit Distance. CoRR (2019)
Yong Sheng Soh, Venkat Chandrasekaran
Fitting Tractable Convex Sets to Support Function Evaluations. CoRR (2019)
Armeen Taeb, Venkat Chandrasekaran
Interpreting latent variables in factor models via convex optimization. Math. Program. 167 (1) (2018)
Utkan Onur Candogan, Venkat Chandrasekaran
Finding Planted Subgraphs with Few Eigenvalues using the Schur-Horn Relaxation. SIAM J. Optim. 28 (1) (2018)
Yong Sheng Soh, Venkat Chandrasekaran
A Matrix Factorization Approach for Learning Semidefinite-Representable Regularizers. CoRR (2017)
Venkat Chandrasekaran, Parikshit Shah
Relative entropy optimization and its applications. Math. Program. 161 (1-2) (2017)
Quentin Berthet, Venkat Chandrasekaran
Resource Allocation for Statistical Estimation. Proc. IEEE 104 (1) (2016)
Utkan Onur Candogan, Venkat Chandrasekaran
Finding Planted Subgraphs with Few Eigenvalues using the Schur-Horn Relaxation. CoRR (2016)
Venkat Chandrasekaran, Parikshit Shah
Relative Entropy Relaxations for Signomial Optimization. SIAM J. Optim. 26 (2) (2016)
Juba Ziani, Venkat Chandrasekaran, Katrina Ligett
Recovering Games from Perturbed Equilibrium Observations Using Convex Optimization. CoRR (2016)
Nikolai Matni, Venkat Chandrasekaran
Regularization for Design. IEEE Trans. Autom. Control. 61 (12) (2016)
Yong Sheng Soh, Venkat Chandrasekaran
High-dimensional change-point estimation: Combining filtering with convex optimization. ISIT (2015)
Yong Sheng Soh, Venkat Chandrasekaran
High-Dimensional Change-Point Estimation: Combining Filtering with Convex Optimization. CoRR (2014)
Venkat Chandrasekaran, Parikshit Shah
Conic geometric programming. CISS (2014)
Nikolai Matni, Venkat Chandrasekaran
Regularization for Design. CoRR (2014)
Nikolai Matni, Venkat Chandrasekaran
Regularization for design. CDC (2014)
Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky
The Convex Geometry of Linear Inverse Problems. Found. Comput. Math. 12 (6) (2012)
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Convex Graph Invariants. SIAM Rev. 54 (3) (2012)
James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting. SIAM J. Matrix Anal. Appl. 33 (4) (2012)
Mert Pilanci, Laurent El Ghaoui, Venkat Chandrasekaran
Recovery of Sparse Probability Measures via Convex Programming. NIPS (2012)
Parikshit Shah, Venkat Chandrasekaran
Group symmetry and covariance regularization. CISS (2012)
Venkat Chandrasekaran, Michael I. Jordan
Computational and Statistical Tradeoffs via Convex Relaxation CoRR (2012)
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Convex graph invariants. CISS (2012)
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Rejoinder: Latent variable graphical model selection via convex optimization CoRR (2012)
Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
Feedback Message Passing for Inference in Gaussian Graphical Models. IEEE Trans. Signal Process. 60 (8) (2012)
Venkat Chandrasekaran, Nathan Srebro, Prahladh Harsha
Complexity of Inference in Graphical Models CoRR (2012)
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo, Alan S. Willsky
Rank-Sparsity Incoherence for Matrix Decomposition. SIAM J. Optim. 21 (2) (2011)
Parikshit Shah, Venkat Chandrasekaran
Iterative projections for signal identification on manifolds: Global recovery guarantees. Allerton (2011)
Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
Feedback Message Passing for Inference in Gaussian Graphical Models CoRR (2011)
Venkat Chandrasekaran, Misha Chertkov, David Gamarnik, Devavrat Shah, Jinwoo Shin
Counting Independent Sets Using the Bethe Approximation. SIAM J. Discret. Math. 25 (2) (2011)
James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Tree-structured statistical modeling via convex optimization. CDC/ECC (2011)
Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
Feedback message passing for inference in gaussian graphical models. ISIT (2010)
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Latent variable graphical model selection via convex optimization. Allerton (2010)
Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky
The Convex algebraic geometry of linear inverse problems. Allerton (2010)
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
Gaussian multiresolution models: exploiting sparse Markov and covariance structure. IEEE Trans. Signal Process. 58 (3) (2010)
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Convex Graph Invariants CoRR (2010)
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo, Alan S. Willsky
Sparse and low-rank matrix decompositions. Allerton (2009)
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
covariance structure in multiresolution models. ICML (2009)
Venkat Chandrasekaran, Michael B. Wakin, Dror Baron, Richard G. Baraniuk
Representation and Compression of Multidimensional Piecewise Functions Using Surflets. IEEE Trans. Inf. Theory 55 (1) (2009)
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
Maximum entropy relaxation for multiscale graphical model selection. ICASSP (2008)
Venkat Chandrasekaran, Nathan Srebro, Prahladh Harsha
Complexity of Inference in Graphical Models. UAI (2008)
Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis. IEEE Trans. Signal Process. 56 (5) (2008)
Jason K. Johnson, Venkat Chandrasekaran, Alan S. Willsky
Learning Markov Structure by Maximum Entropy Relaxation. AISTATS (2007)
Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis. NIPS (2007)
Venkat Chandrasekaran, Michael B. Wakin, Dror Baron, Richard G. Baraniuk
Surflets: a sparse representation for multidimensional functions containing smooth discontinuities. ISIT (2004)

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Publication Activity (10 Years)

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Venkat Chandrasekaran