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ORCIDIlya P. Razenshteyn
Person information
- affiliation: Microsoft Research, Redmond, WA, USA
- affiliation: Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA
- affiliation: Lomonosov Moscow State University, Mathematics Department, Russia
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2020 – today
- 2023
[j6]Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Learning Space Partitions for Nearest Neighbor Search. IEEE Data Eng. Bull. 46(3): 55-68 (2023)- 2022
- [c36]Meena Jagadeesan, Ilya P. Razenshteyn, Suriya Gunasekar:
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm. COLT 2022: 2276-2325 - 2021
- [c35]Alexandr Andoni, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten:
Approximate Nearest Neighbors Beyond Space Partitions. SODA 2021: 1171-1190 - [i35]Meena Jagadeesan, Ilya P. Razenshteyn, Suriya Gunasekar:
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm. CoRR abs/2102.12238 (2021) - 2020
- [c34]Amir Zandieh, Navid Nouri, Ameya Velingker, Michael Kapralov
, Ilya P. Razenshteyn:
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing. AISTATS 2020: 4088-4097 - [c33]Hao Chen, Miran Kim, Ilya P. Razenshteyn, Dragos Rotaru, Yongsoo Song, Sameer Wagh:
Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning. ASIACRYPT (3) 2020: 31-59 - [c32]Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Learning Space Partitions for Nearest Neighbor Search. ICLR 2020 - [c31]Arturs Backurs, Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Scalable Nearest Neighbor Search for Optimal Transport. ICML 2020: 497-506 - [c30]Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li:
Randomized Smoothing of All Shapes and Sizes. ICML 2020: 10693-10705 - [c29]Sepideh Mahabadi, Ilya P. Razenshteyn, David P. Woodruff, Samson Zhou:
Non-adaptive adaptive sampling on turnstile streams. STOC 2020: 1251-1264 - [c28]Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi:
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search. USENIX Security Symposium 2020: 2111-2128 - [i34]Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li:
Randomized Smoothing of All Shapes and Sizes. CoRR abs/2002.08118 (2020) - [i33]Michael Kapralov, Navid Nouri, Ilya P. Razenshteyn, Ameya Velingker, Amir Zandieh:
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing. CoRR abs/2003.09756 (2020) - [i32]Sepideh Mahabadi, Ilya P. Razenshteyn, David P. Woodruff, Samson Zhou:
Non-Adaptive Adaptive Sampling on Turnstile Streams. CoRR abs/2004.10969 (2020) - [i31]Yihe Dong, Yu Gao, Richard Peng, Ilya P. Razenshteyn, Saurabh Sawlani:
A Study of Performance of Optimal Transport. CoRR abs/2005.01182 (2020) - [i30]Hao Chen, Miran Kim, Ilya P. Razenshteyn, Dragos Rotaru, Yongsoo Song, Sameer Wagh:
Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning. IACR Cryptol. ePrint Arch. 2020: 451 (2020)
2010 – 2019
- 2019
- [c27]Jerry Li, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten:
On Mean Estimation for General Norms with Statistical Queries. COLT 2019: 2158-2172 - [c26]Sébastien Bubeck, Yin Tat Lee, Eric Price, Ilya P. Razenshteyn:
Adversarial examples from computational constraints. ICML 2019: 831-840 - [c25]Hadi Salman, Jerry Li, Ilya P. Razenshteyn, Pengchuan Zhang, Huan Zhang, Sébastien Bubeck, Greg Yang:
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. NeurIPS 2019: 11289-11300 - [c24]Konstantin Makarychev, Yury Makarychev, Ilya P. Razenshteyn:
Performance of Johnson-Lindenstrauss transform for k-means and k-medians clustering. STOC 2019: 1027-1038 - [i29]Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Learning Sublinear-Time Indexing for Nearest Neighbor Search. CoRR abs/1901.08544 (2019) - [i28]Jerry Li, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten:
On Mean Estimation for General Norms with Statistical Queries. CoRR abs/1902.02459 (2019) - [i27]Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi:
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search. CoRR abs/1904.02033 (2019) - [i26]Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya P. Razenshteyn, Sébastien Bubeck:
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. CoRR abs/1906.04584 (2019) - [i25]Yihe Dong, Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Scalable Nearest Neighbor Search for Optimal Transport. CoRR abs/1910.04126 (2019) - [i24]Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya P. Razenshteyn, M. Sadegh Riazi:
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search. IACR Cryptol. ePrint Arch. 2019: 359 (2019) - 2018
- [j5]Alexandr Andoni, Robert Krauthgamer, Ilya P. Razenshteyn:
Sketching and Embedding are Equivalent for Norms. SIAM J. Comput. 47(3): 890-916 (2018) - [c23]Alexandr Andoni, Assaf Naor, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten:
Hölder Homeomorphisms and Approximate Nearest Neighbors. FOCS 2018: 159-169 - [c22]Alexandr Andoni, Assaf Naor, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten:
Data-dependent hashing via nonlinear spectral gaps. STOC 2018: 787-800 - [c21]Sepideh Mahabadi, Konstantin Makarychev, Yury Makarychev, Ilya P. Razenshteyn:
Nonlinear dimension reduction via outer Bi-Lipschitz extensions. STOC 2018: 1088-1101 - [i23]Sébastien Bubeck, Eric Price, Ilya P. Razenshteyn:
Adversarial examples from computational constraints. CoRR abs/1805.10204 (2018) - [i22]Alexandr Andoni, Piotr Indyk, Ilya P. Razenshteyn:
Approximate Nearest Neighbor Search in High Dimensions. CoRR abs/1806.09823 (2018) - [i21]Konstantin Makarychev, Yury Makarychev, Ilya P. Razenshteyn:
Performance of Johnson-Lindenstrauss Transform for k-Means and k-Medians Clustering. CoRR abs/1811.03195 (2018) - [i20]Sepideh Mahabadi, Konstantin Makarychev, Yury Makarychev, Ilya P. Razenshteyn:
Nonlinear Dimension Reduction via Outer Bi-Lipschitz Extensions. CoRR abs/1811.03591 (2018) - [i19]Sébastien Bubeck, Yin Tat Lee, Eric Price, Ilya P. Razenshteyn:
Adversarial Examples from Cryptographic Pseudo-Random Generators. CoRR abs/1811.06418 (2018) - 2017
- [b1]Ilya P. Razenshteyn:
High-dimensional similarity search and sketching: algorithms and hardness. Massachusetts Institute of Technology, Cambridge, USA, 2017 - [c20]Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Practical Data-Dependent Metric Compression with Provable Guarantees. NIPS 2017: 2617-2626 - [c19]Alexandr Andoni, Thijs Laarhoven, Ilya P. Razenshteyn, Erik Waingarten:
Optimal Hashing-based Time-Space Trade-offs for Approximate Near Neighbors. SODA 2017: 47-66 - [c18]Alexandr Andoni, Ilya P. Razenshteyn, Negev Shekel Nosatzki:
LSH Forest: Practical Algorithms Made Theoretical. SODA 2017: 67-78 - [c17]Alexandr Andoni, Huy L. Nguyen, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten:
Approximate near neighbors for general symmetric norms. STOC 2017: 902-913 - [i18]Piotr Indyk, Ilya P. Razenshteyn, Tal Wagner:
Practical Data-Dependent Metric Compression with Provable Guarantees. CoRR abs/1711.01520 (2017) - 2016
- [j4]Zeyuan Allen Zhu, Rati Gelashvili, Ilya P. Razenshteyn:
Restricted Isometry Property for General p-Norms. IEEE Trans. Inf. Theory 62(10): 5839-5854 (2016) - [c16]Alexandr Andoni, Ilya P. Razenshteyn:
Tight Lower Bounds for Data-Dependent Locality-Sensitive Hashing. SoCG 2016: 9:1-9:11 - [c15]Thomas Dybdahl Ahle, Rasmus Pagh, Ilya P. Razenshteyn, Francesco Silvestri:
On the Complexity of Inner Product Similarity Join. PODS 2016: 151-164 - [c14]Arturs Backurs, Piotr Indyk, Ilya P. Razenshteyn, David P. Woodruff:
Nearly-optimal bounds for sparse recovery in generic norms, with applications to k-median sketching. SODA 2016: 318-337 - [c13]Ilya P. Razenshteyn, Zhao Song, David P. Woodruff:
Weighted low rank approximations with provable guarantees. STOC 2016: 250-263 - [i17]Alexandr Andoni, Thijs Laarhoven, Ilya P. Razenshteyn, Erik Waingarten:
Lower Bounds on Time-Space Trade-Offs for Approximate Near Neighbors. CoRR abs/1605.02701 (2016) - [i16]Alexandr Andoni, Thijs Laarhoven, Ilya P. Razenshteyn, Erik Waingarten:
Optimal Hashing-based Time-Space Trade-offs for Approximate Near Neighbors. CoRR abs/1608.03580 (2016) - [i15]Alexandr Andoni, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten:
Approximate Near Neighbors for General Symmetric Norms. CoRR abs/1611.06222 (2016) - 2015
- [j3]Daniel Delling, Daniel Fleischman, Andrew V. Goldberg, Ilya P. Razenshteyn, Renato F. Werneck:
An exact combinatorial algorithm for minimum graph bisection. Math. Program. 153(2): 417-458 (2015) - [c12]Zeyuan Allen Zhu, Rati Gelashvili, Ilya P. Razenshteyn:
Restricted Isometry Property for General p-Norms. SoCG 2015: 451-460 - [c11]Silvio Lattanzi, Stefano Leonardi, Vahab S. Mirrokni, Ilya P. Razenshteyn:
Robust Hierarchical k-Center Clustering. ITCS 2015: 211-218 - [c10]Alexandr Andoni, Piotr Indyk, Thijs Laarhoven, Ilya P. Razenshteyn, Ludwig Schmidt:
Practical and Optimal LSH for Angular Distance. NIPS 2015: 1225-1233 - [c9]Alexandr Andoni, Robert Krauthgamer, Ilya P. Razenshteyn:
Sketching and Embedding are Equivalent for Norms. STOC 2015: 479-488 - [c8]Alexandr Andoni, Ilya P. Razenshteyn:
Optimal Data-Dependent Hashing for Approximate Near Neighbors. STOC 2015: 793-801 - [i14]Alexandr Andoni, Ilya P. Razenshteyn:
Optimal Data-Dependent Hashing for Approximate Near Neighbors. CoRR abs/1501.01062 (2015) - [i13]Arturs Backurs, Piotr Indyk, Eric Price, Ilya P. Razenshteyn, David P. Woodruff:
Nearly-optimal bounds for sparse recovery in generic norms, with applications to $k$-median sketching. CoRR abs/1504.01076 (2015) - [i12]Alexandr Andoni, Ilya P. Razenshteyn:
Tight Lower Bounds for Data-Dependent Locality-Sensitive Hashing. CoRR abs/1507.04299 (2015) - [i11]Alexandr Andoni, Piotr Indyk, Thijs Laarhoven, Ilya P. Razenshteyn, Ludwig Schmidt:
Practical and Optimal LSH for Angular Distance. CoRR abs/1509.02897 (2015) - [i10]Thomas D. Ahle, Rasmus Pagh, Ilya P. Razenshteyn, Francesco Silvestri:
On the Complexity of Inner Product Similarity Join. CoRR abs/1510.02824 (2015) - 2014
- [c7]Alexandr Andoni, Piotr Indyk, Huy L. Nguyen, Ilya P. Razenshteyn:
Beyond Locality-Sensitive Hashing. SODA 2014: 1018-1028 - [i9]Zeyuan Allen Zhu, Rati Gelashvili, Ilya P. Razenshteyn:
The Restricted Isometry Property for the General p-Norms. CoRR abs/1407.2178 (2014) - [i8]Alexandr Andoni, Robert Krauthgamer, Ilya P. Razenshteyn:
Sketching and Embedding are Equivalent for Norms. CoRR abs/1411.2577 (2014) - 2013
- [c6]Piotr Indyk, Ilya P. Razenshteyn:
On Model-Based RIP-1 Matrices. ICALP (1) 2013: 564-575 - [c5]Andrew V. Goldberg, Ilya P. Razenshteyn, Ruslan Savchenko:
Separating Hierarchical and General Hub Labelings. MFCS 2013: 469-479 - [i7]Piotr Indyk, Ilya P. Razenshteyn:
On Model-Based RIP-1 Matrices. CoRR abs/1304.3604 (2013) - [i6]Andrew V. Goldberg, Ilya P. Razenshteyn, Ruslan Savchenko:
Separating Hierarchical and General Hub Labelings. CoRR abs/1304.5973 (2013) - [i5]Alexandr Andoni, Piotr Indyk, Huy L. Nguyen, Ilya P. Razenshteyn:
Beyond Locality-Sensitive Hashing. CoRR abs/1306.1547 (2013) - 2012
- [c4]Daniel Delling, Andrew V. Goldberg, Ilya P. Razenshteyn, Renato Fonseca F. Werneck:
Exact Combinatorial Branch-and-Bound for Graph Bisection. ALENEX 2012: 30-44 - [i4]Ilya P. Razenshteyn:
On Epsilon-Nets, Distance Oracles, and Metric Embeddings. CoRR abs/1206.4164 (2012) - 2011
- [j2]Mikhail Andreev, Ilya P. Razenshteyn, Alexander Shen:
Not every domain of a plain decompressor contains the domain of a prefix-free one. Theor. Comput. Sci. 412(4-5): 482-486 (2011) - [c3]Daniel Delling, Andrew V. Goldberg, Ilya P. Razenshteyn, Renato Fonseca F. Werneck:
Graph Partitioning with Natural Cuts. IPDPS 2011: 1135-1146 - [i3]Ilya P. Razenshteyn:
Common information revisited. CoRR abs/1104.3207 (2011) - 2010
- [j1]Maxim A. Babenko, Alexey Gusakov, Ilya P. Razenshteyn:
Triangle-Free 2-Matchings Revisited. Discret. Math. Algorithms Appl. 2(4): 643-654 (2010) - [c2]Maxim A. Babenko, Alexey Gusakov, Ilya P. Razenshteyn:
Triangle-Free 2-Matchings Revisited. COCOON 2010: 120-129 - [c1]Maxim A. Babenko, Ignat I. Kolesnichenko, Ilya P. Razenshteyn:
A Linear Time Algorithm for Finding Three Edge-Disjoint Paths in Eulerian Networks. SOFSEM 2010: 165-175 - [i2]Mikhail Andreev, Ilya P. Razenshteyn, Alexander Shen:
Not Every Domain of a Plain Decompressor Contains the Domain of a Prefix-Free One. CoRR abs/1001.4462 (2010) - [i1]Maxim A. Babenko, Ignat I. Kolesnichenko, Ilya P. Razenshteyn:
A Linear Time Algorithm for Finding Three Edge-Disjoint Paths in Eulerian Networks. CoRR abs/1003.3085 (2010)
Coauthor Index
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