Venkat Chandrasekaran

61 papers A* 1A 2B 4Misc 4Journal 41Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Poset-Markov Channels: Capacity via Group Symmetry. IEEE Trans. Inf. Theory Eray Unsal Atay, Eitan Levin, Venkat Chandrasekaran, Victoria Kostina
2025	B	`conf`	Capacity Bounds for Poset-Causal Channels Via Group Symmetry. ISIT Eray Unsal Atay, Eitan Levin, Venkat Chandrasekaran, Victoria Kostina
2025	J	`jnl`	Poset-Markov Channels: Capacity via Group Symmetry. CoRR Eray Unsal Atay, Eitan Levin, Venkat Chandrasekaran, Victoria Kostina
2023	J	`jnl`	Kronecker Product Approximation of Operators in Spectral Norm via Alternating SDP. SIAM J. Matrix Anal. Appl. Mareike Dressler, André Uschmajew, Venkat Chandrasekaran
2023	J	`jnl`	Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression. CoRR Anshuman Pradhan, Kyra H. Adams, Venkat Chandrasekaran, Zhen Liu, John T. Reager, Andrew M. Stuart, Michael J. Turmon
2023	J	`jnl`	Spectrahedral Regression. SIAM J. Optim. Eliza O'Reilly, Venkat Chandrasekaran
2023	J	`jnl`	Terracini convexity. Math. Program. James Saunderson, Venkat Chandrasekaran
2022	J	`jnl`	Convex graph invariant relaxations for graph edit distance. Math. Program. Utkan Onur Candogan, Venkat Chandrasekaran
2022	J	`jnl`	Kronecker Product Approximation of Operators in Spectral Norm via Alternating SDP. CoRR Mareike Dressler, André Uschmajew, Venkat Chandrasekaran
2021	J	`jnl`	Fitting Tractable Convex Sets to Support Function Evaluations. Discret. Comput. Geom. Yong Sheng Soh, Venkat Chandrasekaran
2021	J	`jnl`	Newton Polytopes and Relative Entropy Optimization. Found. Comput. Math. Riley Murray, Venkat Chandrasekaran, Adam Wierman
2021	J	`jnl`	Publisher Correction to: Signomial and polynomial optimization via relative entropy and partial dualization. Math. Program. Comput. Riley Murray, Venkat Chandrasekaran, Adam Wierman
2021	J	`jnl`	Signomial and polynomial optimization via relative entropy and partial dualization. Math. Program. Comput. Riley Murray, Venkat Chandrasekaran, Adam Wierman
2020	J	`jnl`	Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood. CoRR Armeen Taeb, Parikshit Shah, Venkat Chandrasekaran
2019	J	`jnl`	Convex Graph Invariant Relaxations For Graph Edit Distance. CoRR Utkan Onur Candogan, Venkat Chandrasekaran
2019	J	`jnl`	Fitting Tractable Convex Sets to Support Function Evaluations. CoRR Yong Sheng Soh, Venkat Chandrasekaran
2019	J	`jnl`	Learning Semidefinite Regularizers. Found. Comput. Math. Yong Sheng Soh, Venkat Chandrasekaran
2018	J	`jnl`	Finding Planted Subgraphs with Few Eigenvalues using the Schur-Horn Relaxation. SIAM J. Optim. Utkan Onur Candogan, Venkat Chandrasekaran
2018	J	`jnl`	Interpreting latent variables in factor models via convex optimization. Math. Program. Armeen Taeb, Venkat Chandrasekaran
2017	J	`jnl`	A Matrix Factorization Approach for Learning Semidefinite-Representable Regularizers. CoRR Yong Sheng Soh, Venkat Chandrasekaran
2017	J	`jnl`	Relative entropy optimization and its applications. Math. Program. Venkat Chandrasekaran, Parikshit Shah
2016	J	`jnl`	Finding Planted Subgraphs with Few Eigenvalues using the Schur-Horn Relaxation. CoRR Utkan Onur Candogan, Venkat Chandrasekaran
2016	J	`jnl`	Recovering Games from Perturbed Equilibrium Observations Using Convex Optimization. CoRR Juba Ziani, Venkat Chandrasekaran, Katrina Ligett
2016	J	`jnl`	Regularization for Design. IEEE Trans. Autom. Control. Nikolai Matni, Venkat Chandrasekaran
2016	J	`jnl`	Relative Entropy Relaxations for Signomial Optimization. SIAM J. Optim. Venkat Chandrasekaran, Parikshit Shah
2016	J	`jnl`	Resource Allocation for Statistical Estimation. Proc. IEEE Quentin Berthet, Venkat Chandrasekaran
2015	B	`conf`	High-dimensional change-point estimation: Combining filtering with convex optimization. ISIT Yong Sheng Soh, Venkat Chandrasekaran
2014	Misc	`conf`	Conic geometric programming. CISS Venkat Chandrasekaran, Parikshit Shah
2014	J	`jnl`	High-Dimensional Change-Point Estimation: Combining Filtering with Convex Optimization. CoRR Yong Sheng Soh, Venkat Chandrasekaran
2014	J	`jnl`	Regularization for Design. CoRR Nikolai Matni, Venkat Chandrasekaran
2014	—	`conf`	Regularization for design. CDC Nikolai Matni, Venkat Chandrasekaran
2012	J	`jnl`	Complexity of Inference in Graphical Models CoRR Venkat Chandrasekaran, Nathan Srebro, Prahladh Harsha
2012	J	`jnl`	Computational and Statistical Tradeoffs via Convex Relaxation CoRR Venkat Chandrasekaran, Michael I. Jordan
2012	J	`jnl`	Convex Graph Invariants. SIAM Rev. Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2012	Misc	`conf`	Convex graph invariants. CISS Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2012	J	`jnl`	Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting. SIAM J. Matrix Anal. Appl. James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2012	J	`jnl`	Feedback Message Passing for Inference in Gaussian Graphical Models. IEEE Trans. Signal Process. Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
2012	Misc	`conf`	Group symmetry and covariance regularization. CISS Parikshit Shah, Venkat Chandrasekaran
2012	—	`conf`	Recovery of Sparse Probability Measures via Convex Programming. NIPS Mert Pilanci, Laurent El Ghaoui, Venkat Chandrasekaran
2012	J	`jnl`	Rejoinder: Latent variable graphical model selection via convex optimization CoRR Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2012	J	`jnl`	The Convex Geometry of Linear Inverse Problems. Found. Comput. Math. Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky
2011	—	`—`	Convex optimization methods for graphs and statistical modeling. Venkat Chandrasekaran
2011	J	`jnl`	Counting Independent Sets Using the Bethe Approximation. SIAM J. Discret. Math. Venkat Chandrasekaran, Misha Chertkov, David Gamarnik, Devavrat Shah, Jinwoo Shin
2011	J	`jnl`	Feedback Message Passing for Inference in Gaussian Graphical Models CoRR Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
2011	—	`conf`	Iterative projections for signal identification on manifolds: Global recovery guarantees. Allerton Parikshit Shah, Venkat Chandrasekaran
2011	J	`jnl`	Rank-Sparsity Incoherence for Matrix Decomposition. SIAM J. Optim. Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo, Alan S. Willsky
2011	—	`conf`	Tree-structured statistical modeling via convex optimization. CDC/ECC James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2010	J	`jnl`	Convex Graph Invariants CoRR Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2010	B	`conf`	Feedback message passing for inference in gaussian graphical models. ISIT Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
2010	J	`jnl`	Gaussian multiresolution models: exploiting sparse Markov and covariance structure. IEEE Trans. Signal Process. Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
2010	—	`conf`	Latent variable graphical model selection via convex optimization. Allerton Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2010	—	`conf`	The Convex algebraic geometry of linear inverse problems. Allerton Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky
2009	A*	`conf`	Exploiting sparse Markov ICML Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
2009	J	`jnl`	Representation and Compression of Multidimensional Piecewise Functions Using Surflets. IEEE Trans. Inf. Theory Venkat Chandrasekaran, Michael B. Wakin, Dror Baron, Richard G. Baraniuk
2009	—	`conf`	Sparse and low-rank matrix decompositions. Allerton Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo, Alan S. Willsky
2008	A	`conf`	Complexity of Inference in Graphical Models. UAI Venkat Chandrasekaran, Nathan Srebro, Prahladh Harsha
2008	J	`jnl`	Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis. IEEE Trans. Signal Process. Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky
2008	Misc	`conf`	Maximum entropy relaxation for multiscale graphical model selection. ICASSP Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
2007	—	`conf`	Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis. NIPS Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky
2007	A	`conf`	Learning Markov Structure by Maximum Entropy Relaxation. AISTATS Jason K. Johnson, Venkat Chandrasekaran, Alan S. Willsky
2004	B	`conf`	Surflets: a sparse representation for multidimensional functions containing smooth discontinuities. ISIT Venkat Chandrasekaran, Michael B. Wakin, Dror Baron, Richard G. Baraniuk