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Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework

Dec 21, 2020
Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney

* 27 pages, 3 figures 

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Parallel Restarted SPIDER -- Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity

Dec 12, 2019
Pranay Sharma, Prashant Khanduri, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney

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Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory

Jun 25, 2018
Kush R. Varshney, Prashant Khanduri, Pranay Sharma, Shan Zhang, Pramod K. Varshney

* presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden 

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