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.

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