Razenshteyn, Ilya

10 publications

COLT 2022 Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm Meena Jagadeesan, Ilya Razenshteyn, Suriya Gunasekar

ICLR 2020 Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner

ICML 2020 Randomized Smoothing of All Shapes and Sizes Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li

ICML 2020 Scalable Nearest Neighbor Search for Optimal Transport Arturs Backurs, Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner

AISTATS 2020 Scaling up Kernel Ridge Regression via Locality Sensitive Hashing Amir Zandieh, Navid Nouri, Ameya Velingker, Michael Kapralov, Ilya Razenshteyn

ICML 2019 Adversarial Examples from Computational Constraints Sebastien Bubeck, Yin Tat Lee, Eric Price, Ilya Razenshteyn

COLT 2019 On Mean Estimation for General Norms with Statistical Queries Jerry Li, Aleksandar Nikolov, Ilya Razenshteyn, Erik Waingarten

NeurIPS 2019 Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers Hadi Salman, Jerry Li, Ilya Razenshteyn, Pengchuan Zhang, Huan Zhang, Sebastien Bubeck, Greg Yang

NeurIPS 2017 Practical Data-Dependent Metric Compression with Provable Guarantees Piotr Indyk, Ilya Razenshteyn, Tal Wagner

NeurIPS 2015 Practical and Optimal LSH for Angular Distance Alexandr Andoni, Piotr Indyk, Thijs Laarhoven, Ilya Razenshteyn, Ludwig Schmidt