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 | 78 | 2016 |
Additive models with trend filtering V Sadhanala, RJ Tibshirani The Annals of Statistics 47 (6), 3032-3068, 2019 | 62 | 2019 |
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 | 57* | 2016 |
Graph sparsification approaches for laplacian smoothing V Sadhanala, YX Wang, R Tibshirani Artificial Intelligence and Statistics, 1250-1259, 2016 | 52 | 2016 |
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 | 34 | 2017 |
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 | 22 | 2008 |
A higher-order kolmogorov-smirnov test V Sadhanala, YX Wang, A Ramdas, RJ Tibshirani The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 15 | 2019 |
Multivariate Trend Filtering for Lattice Data V Sadhanala, YX Wang, A Hu, R Tibshirani arXiv, 2021 | 11 | 2021 |
glmgen: Fast generalized lasso solver T Arnold, V Sadhanala, RJ Tibshirani | 7 | 2014 |
Embeddistill: A geometric knowledge distillation for information retrieval S Kim, AS Rawat, M Zaheer, S Jayasumana, V Sadhanala, W Jitkrittum, ... arXiv preprint arXiv:2301.12005, 2023 | 5 | 2023 |
Nonparametric Methods with Total Variation Type Regularization. V Sadhanala Carnegie Mellon University, USA, 2019 | 2 | 2019 |
Exponential family trend filtering on lattices V Sadhanala, R Bassett, J Sharpnack, DJ McDonald Electronic Journal of Statistics 18 (1), 1749-1814, 2024 | 1 | 2024 |
Supplement to “Additive Models with Trend Filtering.” V Sadhanala, RJ Tibshirani DOI, 2019 | 1 | 2019 |
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 | | |