![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Rajesh Jayaram
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j10]Rajesh Jayaram
, David P. Woodruff
, Samson Zhou
:
Streaming Algorithms with Few State Changes. Proc. ACM Manag. Data 2(2): 82 (2024) - [c29]MohammadHossein Bateni, Prathamesh Dharangutte, Rajesh Jayaram, Chen Wang:
Metric Clustering and MST with Strong and Weak Distance Oracles. COLT 2024: 498-550 - [c28]MohammadHossein Bateni, Laxman Dhulipala, Kishen N. Gowda, D. Ellis Hershkowitz, Rajesh Jayaram, Jakub Lacki:
It's Hard to HAC Average Linkage! ICALP 2024: 18:1-18:18 - [c27]Rajesh Jayaram, Jakub Lacki, Slobodan Mitrovic, Krzysztof Onak, Piotr Sankowski:
Dynamic PageRank: Algorithms and Lower Bounds. ICALP 2024: 90:1-90:19 - [c26]Insu Han, Rajesh Jayaram, Amin Karbasi, Vahab Mirrokni, David P. Woodruff, Amir Zandieh:
HyperAttention: Long-context Attention in Near-Linear Time. ICLR 2024 - [c25]Jakub Lacki, Bernhard Haeupler, Christoph Grunau, Rajesh Jayaram, Václav Rozhon:
Fully Dynamic Consistent k-Center Clustering. SODA 2024: 3463-3484 - [c24]Rajesh Jayaram, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong:
Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree. SODA 2024: 3960-3996 - [c23]Rajesh Jayaram
, Erik Waingarten
, Tian Zhang
:
Data-Dependent LSH for the Earth Mover's Distance. STOC 2024: 800-811 - [i34]Lars Gottesbüren, Laxman Dhulipala, Rajesh Jayaram, Jakub Lacki:
Unleashing Graph Partitioning for Large-Scale Nearest Neighbor Search. CoRR abs/2403.01797 (2024) - [i33]Rajesh Jayaram, Erik Waingarten, Tian Zhang:
Data-Dependent LSH for the Earth Mover's Distance. CoRR abs/2403.05041 (2024) - [i32]MohammadHossein Bateni, Laxman Dhulipala, Kishen N. Gowda, D. Ellis Hershkowitz, Rajesh Jayaram, Jakub Lacki:
It's Hard to HAC with Average Linkage! CoRR abs/2404.14730 (2024) - [i31]Rajesh Jayaram, Jakub Lacki, Slobodan Mitrovic, Krzysztof Onak, Piotr Sankowski:
Dynamic PageRank: Algorithms and Lower Bounds. CoRR abs/2404.16267 (2024) - [i30]Laxman Dhulipala, Majid Hadian, Rajesh Jayaram, Jason Lee, Vahab Mirrokni:
MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings. CoRR abs/2405.19504 (2024) - [i29]MohammadHossein Bateni, Laxman Dhulipala, Willem Fletcher, Kishen N. Gowda, D. Ellis Hershkowitz, Rajesh Jayaram, Jakub Lacki:
Efficient Centroid-Linkage Clustering. CoRR abs/2406.05066 (2024) - [i28]Rajesh Jayaram, David P. Woodruff, Samson Zhou:
Streaming Algorithms with Few State Changes. CoRR abs/2406.06821 (2024) - 2023
- [j9]Rajesh Jayaram:
Technical Perspective: Optimal Algorithms for Multiway Search on Partial Orders. SIGMOD Rec. 52(1): 83 (2023) - [j8]Rajesh Jayaram
, David P. Woodruff
:
Towards Optimal Moment Estimation in Streaming and Distributed Models. ACM Trans. Algorithms 19(3): 27:1-27:35 (2023) - [c22]Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten:
Near-Linear Time Algorithm for the Chamfer Distance. NeurIPS 2023 - [c21]MohammadHossein Bateni, Hossein Esfandiari, Hendrik Fichtenberger, Monika Henzinger, Rajesh Jayaram, Vahab Mirrokni, Andreas Wiese:
Optimal Fully Dynamic k-Center Clustering for Adaptive and Oblivious Adversaries. SODA 2023: 2677-2727 - [c20]Xi Chen, Vincent Cohen-Addad, Rajesh Jayaram, Amit Levi
, Erik Waingarten:
Streaming Euclidean MST to a Constant Factor. STOC 2023: 156-169 - [i27]MohammadHossein Bateni, Hossein Esfandiari, Hendrik Fichtenberger, Monika Henzinger, Rajesh Jayaram, Vahab Mirrokni, Andreas Wiese:
Optimal Fully Dynamic k-Center Clustering for Adaptive and Oblivious Adversaries. CoRR abs/2303.11843 (2023) - [i26]Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten:
A Near-Linear Time Algorithm for the Chamfer Distance. CoRR abs/2307.03043 (2023) - [i25]Jakub Lacki, Bernhard Haeupler, Christoph Grunau, Václav Rozhon, Rajesh Jayaram:
Fully Dynamic Consistent k-Center Clustering. CoRR abs/2307.13747 (2023) - [i24]Rajesh Jayaram, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong:
Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree. CoRR abs/2308.00503 (2023) - [i23]Insu Han, Rajesh Jayaram, Amin Karbasi, Vahab Mirrokni, David P. Woodruff, Amir Zandieh:
HyperAttention: Long-context Attention in Near-Linear Time. CoRR abs/2310.05869 (2023) - [i22]MohammadHossein Bateni, Prathamesh Dharangutte, Rajesh Jayaram, Chen Wang:
Metric Clustering and MST with Strong and Weak Distance Oracles. CoRR abs/2310.15863 (2023) - [i21]Ainesh Bakshi, Vincent Cohen-Addad, Samuel B. Hopkins, Rajesh Jayaram, Silvio Lattanzi:
A quasi-polynomial time algorithm for Multi-Dimensional Scaling via LP hierarchies. CoRR abs/2311.17840 (2023) - 2022
- [j7]Omri Ben-Eliezer
, Rajesh Jayaram
, David P. Woodruff
, Eylon Yogev
:
A Framework for Adversarially Robust Streaming Algorithms. J. ACM 69(2): 17:1-17:33 (2022) - [j6]Lianke Qin, Rajesh Jayaram, Elaine Shi, Zhao Song, Danyang Zhuo, Shumo Chu:
Differentially Oblivious Relational Database Operators. Proc. VLDB Endow. 16(4): 842-855 (2022) - [j5]Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros:
Counting the Answers to a Query. SIGMOD Rec. 51(3): 6-17 (2022) - [c19]CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong:
Stars: Tera-Scale Graph Building for Clustering and Learning. NeurIPS 2022 - [c18]Rajesh Jayaram, David P. Woodruff, Samson Zhou:
Truly Perfect Samplers for Data Streams and Sliding Windows. PODS 2022: 29-40 - [c17]Xi Chen, Rajesh Jayaram, Amit Levi
, Erik Waingarten:
New streaming algorithms for high dimensional EMD and MST. STOC 2022: 222-233 - [i20]CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong:
Stars: Tera-Scale Graph Building for Clustering and Graph Learning. CoRR abs/2212.02635 (2022) - [i19]Lianke Qin, Rajesh Jayaram, Elaine Shi, Zhao Song, Danyang Zhuo, Shumo Chu:
Adore: Differentially Oblivious Relational Database Operators. CoRR abs/2212.05176 (2022) - [i18]Vincent Cohen-Addad, Xi Chen, Rajesh Jayaram, Amit Levi, Erik Waingarten:
Streaming Euclidean MST to a Constant Factor. CoRR abs/2212.06546 (2022) - 2021
- [b1]Rajesh Jayaram:
Sketching and Sampling Algorithms for High-Dimensional Data. Carnegie Mellon University, USA, 2021 - [j4]Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros
:
#NFA Admits an FPRAS: Efficient Enumeration, Counting, and Uniform Generation for Logspace Classes. J. ACM 68(6): 48:1-48:40 (2021) - [j3]Rajesh Jayaram
, David P. Woodruff:
Perfect Lp Sampling in a Data Stream. SIAM J. Comput. 50(2): 382-439 (2021) - [j2]Omri Ben-Eliezer, Rajesh Jayaram, David P. Woodruff, Eylon Yogev:
A Framework for Adversarially Robust Streaming Algorithms. SIGMOD Rec. 50(1): 6-13 (2021) - [c16]Rajesh Jayaram, John Kallaugher:
An Optimal Algorithm for Triangle Counting in the Stream. APPROX-RANDOM 2021: 11:1-11:11 - [c15]Xi Chen, Rajesh Jayaram, Amit Levi, Erik Waingarten:
Learning and testing junta distributions with sub cube conditioning. COLT 2021: 1060-1113 - [c14]Rajesh Jayaram, Alireza Samadian, David P. Woodruff, Peng Ye:
In-Database Regression in Input Sparsity Time. ICML 2021: 4797-4806 - [c13]Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros
:
A polynomial-time approximation algorithm for counting words accepted by an NFA (invited paper). STOC 2021: 4 - [c12]Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros
:
When is approximate counting for conjunctive queries tractable? STOC 2021: 1015-1027 - [i17]Rajesh Jayaram, John Kallaugher:
An Optimal Algorithm for Triangle Counting. CoRR abs/2105.01785 (2021) - [i16]Rajesh Jayaram, Alireza Samadian, David P. Woodruff, Peng Ye:
In-Database Regression in Input Sparsity Time. CoRR abs/2107.05672 (2021) - [i15]Rajesh Jayaram, David P. Woodruff, Samson Zhou:
Truly Perfect Samplers for Data Streams and Sliding Windows. CoRR abs/2108.12017 (2021) - [i14]Xi Chen, Rajesh Jayaram, Amit Levi, Erik Waingarten:
New Streaming Algorithms for High Dimensional EMD and MST. CoRR abs/2111.03528 (2021) - [i13]MohammadHossein Bateni, Hossein Esfandiari, Rajesh Jayaram, Vahab S. Mirrokni:
Optimal Fully Dynamic k-Centers Clustering. CoRR abs/2112.07050 (2021) - 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
aka: MohammadHossein Bateni
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-08 19:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint