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Feature-distributed sparse regression: a screen-and-clean approach.

J. Yang, M. Mahoney, M. Saunders, and Y. Sun. NIPS, page 2712-2720. (2016)

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Jiyan Shi

Yang Yang

Other publications of authors with the same name

CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery.K. Maeng, S. Bharuka, I. Gao, M. Jeffrey, V. Saraph, B. Su, C. Trippel, J. Yang, M. Rabbat, B. Lucia and 1 other author(s). CoRR, (2020)Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels.J. Yang, V. Sindhwani, H. Avron, and M. Mahoney. ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 485-493. JMLR.org, (2014)Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems.A. Ginart, M. Naumov, D. Mudigere, J. Yang, and J. Zou. CoRR, (2019)Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems.H. Shi, D. Mudigere, M. Naumov, and J. Yang. KDD, page 165-175. ACM, (2020)Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments.J. Yang, X. Meng, and M. Mahoney. Proc. IEEE, 104 (1): 58-92 (2016)ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training.Q. Zheng, B. Su, J. Yang, A. Azzolini, Q. Wu, O. Jin, S. Karandikar, H. Lupesko, L. Xiong, and E. Zhou. CoRR, (2020)AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations.D. Li, Z. Zhang, S. Yuan, M. Gao, W. Zhang, C. Yang, X. Liu, and J. Yang. KDD, page 4370-4379. ACM, (2023)Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery.K. Maeng, S. Bharuka, I. Gao, M. Jeffrey, V. Saraph, B. Su, C. Trippel, J. Yang, M. Rabbat, B. Lucia and 1 other author(s). MLSys, mlsys.org, (2021)Software-hardware co-design for fast and scalable training of deep learning recommendation models.D. Mudigere, Y. Hao, J. Huang, Z. Jia, A. Tulloch, S. Sridharan, X. Liu, M. Ozdal, J. Nie, J. Park and 43 other author(s). ISCA, page 993-1011. ACM, (2022)Quantile Regression for Large-scale Applications.J. Yang, X. Meng, and M. Mahoney. ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 881-887. JMLR.org, (2013)

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Disambiguation of "Yang, Jiyan"

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Feature-distributed sparse regression: a screen-and-clean approach.

Please choose a person to relate this publication to

Jiyan Shi

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yang, Jiyan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Feature-distributed sparse regression: a screen-and-clean approach.

Please choose a person to relate this publication to

Jiyan Shi

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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Chicago
DIN 1505
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Feature-distributed sparse regression: a screen-and-clean approach.