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New Loss Functions for Fast Maximum Inner Product Search


Sep 11, 2019
Ruiqi Guo, Quan Geng, David Simcha, Felix Chern, Sanjiv Kumar, Xiang Wu

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AdaCliP: Adaptive Clipping for Private SGD


Aug 20, 2019
Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar

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* 18 pages 

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Sampled Softmax with Random Fourier Features


Jul 24, 2019
Ankit Singh Rawat, Jiecao Chen, Felix Yu, Ananda Theertha Suresh, Sanjiv Kumar

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Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise


Jun 05, 2019
Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh

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On the Convergence of Adam and Beyond


Apr 19, 2019
Sashank J. Reddi, Satyen Kale, Sanjiv Kumar

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* Appeared in ICLR 2018 

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Local Orthogonal Decomposition for Maximum Inner Product Search


Mar 25, 2019
Xiang Wu, Ruiqi Guo, Sanjiv Kumar, David Simcha

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Efficient Inner Product Approximation in Hybrid Spaces


Mar 20, 2019
Xiang Wu, Ruiqi Guo, David Simcha, Dave Dopson, Sanjiv Kumar

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Escaping Saddle Points with Adaptive Gradient Methods


Jan 26, 2019
Matthew Staib, Sashank J. Reddi, Satyen Kale, Sanjiv Kumar, Suvrit Sra

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Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks


Oct 29, 2018
Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh

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