Veeranjaneyulu Sadhanala

CoRR, 2023

2021

Multivariate Trend Filtering for Lattice Data.

[BibT_eX]

[DOI]

Addison J. Hu

CoRR, 2021

2019

Nonparametric Methods with Total Variation Type Regularization.

[BibT_eX]

[DOI]

PhD thesis, 2019

A Higher-Order Kolmogorov-Smirnov Test.

[BibT_eX]

[DOI]

Aaditya Ramdas

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods.

[BibT_eX]

[DOI]

James Sharpnack

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Graph Sparsification Approaches for Laplacian Smoothing.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2008

Scheduling of dataflow models within the Reconfigurable Video Coding framework.

[BibT_eX]

[DOI]

Jani Boutellier