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Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm


Feb 24, 2021
Meena Jagadeesan, Ilya Razenshteyn, Suriya Gunasekar


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A Study of Performance of Optimal Transport


May 03, 2020
Yihe Dong, Yu Gao, Richard Peng, Ilya Razenshteyn, Saurabh Sawlani


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Non-Adaptive Adaptive Sampling on Turnstile Streams


Apr 23, 2020
Sepideh Mahabadi, Ilya Razenshteyn, David P. Woodruff, Samson Zhou

* To appear at STOC 2020 

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Scaling up Kernel Ridge Regression via Locality Sensitive Hashing


Mar 21, 2020
Michael Kapralov, Navid Nouri, Ilya Razenshteyn, Ameya Velingker, Amir Zandieh


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Randomized Smoothing of All Shapes and Sizes


Mar 04, 2020
Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li

* 9 pages main text, 47 pages total 

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Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers


Jun 12, 2019
Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya Razenshteyn, Sebastien Bubeck

* 27 pages 

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SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search


Apr 03, 2019
Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya Razenshteyn, M. Sadegh Riazi

* 17 pages, 7 figures 

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Learning Sublinear-Time Indexing for Nearest Neighbor Search


Jan 24, 2019
Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner

* 14 pages, 7 figures 

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Adversarial Examples from Cryptographic Pseudo-Random Generators


Nov 15, 2018
Sébastien Bubeck, Yin Tat Lee, Eric Price, Ilya Razenshteyn

* 4 pages, no figures 

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