Provable Inductive Robust PCA via Iterative Hard Thresholding
U.N. Niranjan, Arun Rajkumar, Theja Tulabandhula
Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence, PMLR R15:631-640, 2017.
Cite this Paper
BibTeX
@InProceedings{pmlr-vR15-niranjan17a,
title = {Provable Inductive Robust {PCA} via Iterative Hard Thresholding},
author = {Niranjan, U.N. and Rajkumar, Arun and Tulabandhula, Theja},
booktitle = {Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence},
pages = {631--640},
year = {2017},
editor = {Elidan, Gal and Kersting, Kristian},
volume = {R15},
series = {Proceedings of Machine Learning Research},
month = {11--15 Aug},
publisher = {PMLR},
pdf = {https://raw.githubusercontent.com/mlresearch/r15/main/assets/niranjan17a/niranjan17a.pdf},
url = {https://proceedings.mlr.press/r15/niranjan17a.html},
note = {Reissued by PMLR on 04 October 2026.}
}
Endnote
%0 Conference Paper
%T Provable Inductive Robust PCA via Iterative Hard Thresholding
%A U.N. Niranjan
%A Arun Rajkumar
%A Theja Tulabandhula
%B Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence
%C Proceedings of Machine Learning Research
%D 2017
%E Gal Elidan
%E Kristian Kersting
%F pmlr-vR15-niranjan17a
%I PMLR
%P 631--640
%U https://proceedings.mlr.press/r15/niranjan17a.html
%V R15
%Z Reissued by PMLR on 04 October 2026.
APA
Niranjan, U., Rajkumar, A. & Tulabandhula, T.. (2017). Provable Inductive Robust PCA via Iterative Hard Thresholding. Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence, in Proceedings of Machine Learning Research R15:631-640 Available from https://proceedings.mlr.press/r15/niranjan17a.html. Reissued by PMLR on 04 October 2026.