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Anshumali Shrivastava

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Climbing the WOL: Training for Cheaper Inference

Jul 03, 2020
Zichang Liu, Zhaozhuo Xu, Alan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava

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STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge

Jun 25, 2020
Benjamin Coleman, Gaurav Gupta, John Chen, Anshumali Shrivastava

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A One-Pass Private Sketch for Most Machine Learning Tasks

Jun 16, 2020
Benjamin Coleman, Anshumali Shrivastava

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Privacy Adversarial Network: Representation Learning for Mobile Data Privacy

Jun 08, 2020
Sicong Liu, Junzhao Du, Anshumali Shrivastava, Lin Zhong

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Angular Visual Hardness

Jan 04, 2020
Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Jan Kautz, Anima Anandkumar

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Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data

Dec 04, 2019
Benjamin Coleman, Anshumali Shrivastava

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FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints

Dec 02, 2019
Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang

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Lsh-sampling Breaks the Computation Chicken-and-egg Loop in Adaptive Stochastic Gradient Estimation

Oct 30, 2019
Beidi Chen, Yingchen Xu, Anshumali Shrivastava

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Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products

Oct 28, 2019
Tharun Medini, Qixuan Huang, Yiqiu Wang, Vijai Mohan, Anshumali Shrivastava

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