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Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.

J. Ge, X. Li, H. Jiang, H. Liu, T. Zhang, M. Wang, and T. Zhao. J. Mach. Learn. Res., (2019)

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Mengdi Wang

Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylationL. Wang. Uni Marburg, (2009)

Zhirong Wang

Zhongxin Wang

Other publications of authors with the same name

Weight Optimization of the Induction Magnetometer at Low Frequency.Z. Zhou, Y. Wang, W. Sun, and M. Wang. IEEE Trans. Instrum. Meas., (2022)Low-Cost and Confidentiality-Preserving Multi-Image Compressed Acquisition and Separate Reconstruction for Internet of Multimedia Things.M. Wang, D. Xiao, and Y. Xiang. IEEE Internet Things J., 8 (3): 1662-1673 (2021)Cautious Reinforcement Learning via Distributional Risk in the Dual Domain.J. Zhang, A. Bedi, M. Wang, and A. Koppel. IEEE J. Sel. Areas Inf. Theory, 2 (2): 611-626 (2021)Boosting the Convergence of Reinforcement Learning-Based Auto-Pruning Using Historical Data.J. Mu, M. Wang, F. Zhu, J. Yang, W. Lin, and W. Zhang. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 43 (2): 548-561 (February 2024)Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules.J. Kim, D. Bloore, K. Kapoor, J. Feng, M. Hao, and M. Wang. CoRR, (2024)You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient.S. Zhang, X. Zheng, C. Yang, Y. Li, Y. Wang, F. Chao, M. Wang, S. Li, J. Yang, and R. Ji. CoRR, (2021)Scaling In-Context Demonstrations with Structured Attention.T. Cai, K. Huang, J. Lee, and M. Wang. CoRR, (2023)A clebsch method for free-surface vortical flow simulation.S. Xiong, Z. Wang, M. Wang, and B. Zhu. ACM Trans. Graph., 41 (4): 116:1-116:13 (2022)1xN Pattern for Pruning Convolutional Neural Networks.M. Lin, Y. Zhang, Y. Li, B. Chen, F. Chao, M. Wang, S. Li, Y. Tian, and R. Ji. IEEE Trans. Pattern Anal. Mach. Intell., 45 (4): 3999-4008 (April 2023)Smart Roles: Inferring Professional Roles in Email Networks.D. Jin, M. Heimann, T. Safavi, M. Wang, W. Lee, L. Snider, and D. Koutra. KDD, page 2923-2933. ACM, (2019)

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Disambiguation of "Wang, Mengdi"

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Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.

Please choose a person to relate this publication to

Mengdi Wang

Wang Wang

Linfang Wang

Zhirong Wang

Zhongxin Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wang, Mengdi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.

Please choose a person to relate this publication to

Mengdi Wang

Wang Wang

Linfang Wang

Zhirong Wang

Zhongxin Wang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.