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Veeranjaneyulu Sadhanala
Veeranjaneyulu Sadhanala
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Year
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
V Sadhanala, YX Wang, R Tibshirani
Advances in Neural Information Processing Systems 29, 3513--3521, 2016
682016
Parallel and distributed block-coordinate frank-wolfe algorithms
YX Wang, V Sadhanala, W Dai, W Neiswanger, S Sra, E Xing
International Conference on Machine Learning, 1548-1557, 2016
52*2016
Additive models with trend filtering
V Sadhanala, RJ Tibshirani
The Annals of Statistics 47 (6), 3032-3068, 2019
512019
Graph sparsification approaches for laplacian smoothing
V Sadhanala, YX Wang, R Tibshirani
Artificial Intelligence and Statistics, 1250-1259, 2016
402016
Higher-order total variation classes on grids: Minimax theory and trend filtering methods
V Sadhanala, YX Wang, JL Sharpnack, RJ Tibshirani
Advances in Neural Information Processing Systems 30, 2017
272017
Scheduling of dataflow models within the reconfigurable video coding framework
J Boutellier, V Sadhanala, C Lucarz, P Brisk, M Mattavelli
2008 IEEE Workshop on Signal Processing Systems, 182-187, 2008
192008
A higher-order kolmogorov-smirnov test
V Sadhanala, YX Wang, A Ramdas, RJ Tibshirani
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
82019
glmgen: Fast generalized lasso solver
T Arnold, V Sadhanala, RJ Tibshirani
72014
Multivariate Trend Filtering for Lattice Data
V Sadhanala, YX Wang, A Hu, R Tibshirani
arXiv, 2021
42021
Nonparametric methods with total variation type regularization
V Sadhanala
National Institutes of Health, 2019
22019
Supplement to “Additive Models with Trend Filtering.”
V Sadhanala, RJ Tibshirani
DOI, 2019
12019
Exponential Family Trend Filtering on Lattices
V Sadhanala, R Bassett, J Sharpnack, DJ McDonald
arXiv preprint arXiv:2209.09175, 2022
2022
CMU-ML-19-104 Nonparametric Methods with Total Variation Type Regularization
V Sadhanala
Supplement to “A Higher-Order Kolmogorov-Smirnov Test”
V Sadhanala, YX Wang, A Ramdas, RJ Tibshirani
Wireless Mesh Network design by Optimization of Spectral Properties and Max-k-Cut
V Sadhanala
Supplement to “Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods”
V Sadhanala, YX Wang, J Sharpnack, RJ Tibshirani
Supplement to “Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers”
V Sadhanala, YX Wang, RJ Tibshirani
Supplement to “Graph Sparsification Approaches for Laplacian Smoothing”
V Sadhanala, YX Wang, RJ Tibshirani
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