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ORCIDRajesh Jayaram
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2020 – today
- 2020
[j1]Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros:
Efficient Logspace Classes for Enumeration, Counting, and Uniform Generation. SIGMOD Rec. 49(1): 52-59 (2020)- [c11]Ainesh Bakshi, Nadiia Chepurko, Rajesh Jayaram:
Testing Positive Semi-Definiteness via Random Submatrices. FOCS 2020: 1191-1202 - [c10]Rajesh Jayaram, David P. Woodruff, Qiuyi Zhang:
Span Recovery for Deep Neural Networks with Applications to Input Obfuscation. ICLR 2020 - [c9]Omri Ben-Eliezer, Rajesh Jayaram, David P. Woodruff, Eylon Yogev:
A Framework for Adversarially Robust Streaming Algorithms. PODS 2020: 63-80 - [i12]Rajesh Jayaram, David P. Woodruff, Qiuyi Zhang:
Span Recovery for Deep Neural Networks with Applications to Input Obfuscation. CoRR abs/2002.08202 (2020) - [i11]Omri Ben-Eliezer, Rajesh Jayaram, David P. Woodruff, Eylon Yogev:
A Framework for Adversarially Robust Streaming Algorithms. CoRR abs/2003.14265 (2020) - [i10]Xi Chen, Rajesh Jayaram, Amit Levi, Erik Waingarten:
Learning and Testing Junta Distributions with Subcube Conditioning. CoRR abs/2004.12496 (2020) - [i9]Ainesh Bakshi, Nadiia Chepurko, Rajesh Jayaram:
Testing Positive Semi-Definiteness via Random Submatrices. CoRR abs/2005.06441 (2020) - [i8]Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros:
An FPRAS and Polynomial-Time Uniform Sampler for Tree Automata. CoRR abs/2005.10029 (2020)
2010 – 2019
- 2019
- [c8]Rajesh Jayaram, David P. Woodruff:
Towards Optimal Moment Estimation in Streaming and Distributed Models. APPROX-RANDOM 2019: 29:1-29:21 - [c7]Ainesh Bakshi, Rajesh Jayaram, David P. Woodruff:
Learning Two Layer Rectified Neural Networks in Polynomial Time. COLT 2019: 195-268 - [c6]Huaian Diao, Rajesh Jayaram, Zhao Song, Wen Sun, David P. Woodruff:
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation. NeurIPS 2019: 4739-4750 - [c5]Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros:
Efficient Logspace Classes for Enumeration, Counting, and Uniform Generation. PODS 2019: 59-73 - [c4]Rajesh Jayaram, Gokarna Sharma, Srikanta Tirthapura, David P. Woodruff:
Weighted Reservoir Sampling from Distributed Streams. PODS 2019: 218-235 - [i7]Rajesh Jayaram, Gokarna Sharma, Srikanta Tirthapura, David P. Woodruff:
Weighted Reservoir Sampling from Distributed Streams. CoRR abs/1904.04126 (2019) - [i6]Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros:
Efficient Logspace Classes for Enumeration, Counting, and Uniform Generation. CoRR abs/1906.09226 (2019) - [i5]Rajesh Jayaram, David P. Woodruff:
Towards Optimal Moment Estimation in Streaming and Distributed Models. CoRR abs/1907.05816 (2019) - [i4]Huaian Diao, Rajesh Jayaram, Zhao Song, Wen Sun, David P. Woodruff:
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation. CoRR abs/1909.13384 (2019) - 2018
- [c3]Rajesh Jayaram, David P. Woodruff:
Perfect Lp Sampling in a Data Stream. FOCS 2018: 544-555 - [c2]Rajesh Jayaram, David P. Woodruff:
Data Streams with Bounded Deletions. PODS 2018: 341-354 - [i3]Rajesh Jayaram, David P. Woodruff:
Data Streams with Bounded Deletions. CoRR abs/1803.08777 (2018) - [i2]Rajesh Jayaram, David P. Woodruff:
Perfect Lp Sampling in a Data Stream. CoRR abs/1808.05497 (2018) - [i1]Ainesh Bakshi, Rajesh Jayaram, David P. Woodruff:
Learning Two Layer Rectified Neural Networks in Polynomial Time. CoRR abs/1811.01885 (2018) - 2017
- [c1]Rajesh Jayaram, Barna Saha:
Approximating Language Edit Distance Beyond Fast Matrix Multiplication: Ultralinear Grammars Are Where Parsing Becomes Hard!. ICALP 2017: 19:1-19:15
Coauthor Index
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