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ORCIDRagesh Jaiswal
Person information
- affiliation: Indian Institute of Technology Delhi, Department of Computer Science and Engineering, New Delhi, India
- affiliation: Columbia University, New York City, NY, USA
- affiliation (PhD): University of California, San Diego, CA, USA
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Books and Theses
- 2008
[b1]Ragesh Jaiswal:
New proofs of (new) Direct Product Theorems. University of California, San Diego, USA, 2008
Journal Articles
- 2023
- [j15]Dishant Goyal
, Ragesh Jaiswal:
Tight FPT Approximation for Socially Fair Clustering. Inf. Process. Lett. 182: 106383 (2023) - [j14]Dishant Goyal, Ragesh Jaiswal:
Tight FPT approximation for constrained k-center and k-supplier. Theor. Comput. Sci. 940(Part): 190-208 (2023) - 2022
- [j13]Anup Bhattacharya, Yoav Freund, Ragesh Jaiswal:
On the k-means/median cost function. Inf. Process. Lett. 177: 106252 (2022) - 2020
- [j12]Ragesh Jaiswal:
A note on the relation between XOR and Selective XOR lemmas. Inf. Process. Lett. 163: 106011 (2020) - 2018
- [j11]Anup Bhattacharya, Davis Issac, Ragesh Jaiswal, Amit Kumar:
Sampling in Space Restricted Settings. Algorithmica 80(5): 1439-1458 (2018) - [j10]Anup Bhattacharya, Ragesh Jaiswal, Amit Kumar:
Faster Algorithms for the Constrained k-means Problem. Theory Comput. Syst. 62(1): 93-115 (2018) - 2016
- [j9]Anup Bhattacharya, Ragesh Jaiswal, Nir Ailon:
Tight lower bound instances for k-means++ in two dimensions. Theor. Comput. Sci. 634: 55-66 (2016) - 2015
- [j8]Ilias Diakonikolas, Ragesh Jaiswal, Rocco A. Servedio, Li-Yang Tan, Andrew Wan:
Noise Stable Halfspaces are Close to Very Small Juntas. Chic. J. Theor. Comput. Sci. 2015 (2015) - [j7]Ragesh Jaiswal, Mehul Kumar, Pulkit Yadav:
Improved analysis of D2-sampling based PTAS for k-means and other clustering problems. Inf. Process. Lett. 115(2): 100-103 (2015) - [j6]Manu Agarwal, Ragesh Jaiswal, Arindam Pal:
k-Means++ under approximation stability. Theor. Comput. Sci. 588: 37-51 (2015) - 2014
- [j5]Ragesh Jaiswal, Amit Kumar, Sandeep Sen:
A Simple D 2-Sampling Based PTAS for k-Means and Other Clustering Problems. Algorithmica 70(1): 22-46 (2014) - 2010
- [j4]Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets, Avi Wigderson:
Uniform Direct Product Theorems: Simplified, Optimized, and Derandomized. SIAM J. Comput. 39(4): 1637-1665 (2010) - [j3]Ilias Diakonikolas, Parikshit Gopalan, Ragesh Jaiswal, Rocco A. Servedio, Emanuele Viola:
Bounded Independence Fools Halfspaces. SIAM J. Comput. 39(8): 3441-3462 (2010) - 2009
- [j2]Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets:
Chernoff-Type Direct Product Theorems. J. Cryptol. 22(1): 75-92 (2009) - [j1]Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets:
Approximate List-Decoding of Direct Product Codes and Uniform Hardness Amplification. SIAM J. Comput. 39(2): 564-605 (2009)
Conference and Workshop Papers
- 2024
- [c23]Ragesh Jaiswal, Amit Kumar:
Universal Weak Coreset. AAAI 2024: 12782-12789 - [c22]Ragesh Jaiswal, Amit Kumar, Jatin Yadav:
FPT Approximation for Capacitated Sum of Radii. ITCS 2024: 65:1-65:21 - 2023
- [c21]Ragesh Jaiswal, Amit Kumar:
Clustering What Matters in Constrained Settings: Improved Outlier to Outlier-Free Reductions. ISAAC 2023: 41:1-41:16 - 2021
- [c20]Anup Bhattacharya, Dishant Goyal, Ragesh Jaiswal:
Hardness of Approximation for Euclidean k-Median. APPROX-RANDOM 2021: 4:1-4:23 - 2020
- [c19]Anup Bhattacharya, Dishant Goyal, Ragesh Jaiswal, Amit Kumar:
On Sampling Based Algorithms for k-Means. FSTTCS 2020: 13:1-13:17 - [c18]Dishant Goyal, Ragesh Jaiswal, Amit Kumar:
FPT Approximation for Constrained Metric k-Median/Means. IPEC 2020: 14:1-14:19 - [c17]Ragesh Jaiswal, Amit Kumar:
Multiplicative Rank-1 Approximation using Length-Squared Sampling. SOSA 2020: 18-23 - 2018
- [c16]Nir Ailon, Anup Bhattacharya, Ragesh Jaiswal, Amit Kumar:
Approximate Clustering with Same-Cluster Queries. ITCS 2018: 40:1-40:21 - [c15]Nir Ailon, Anup Bhattacharya, Ragesh Jaiswal:
Approximate Correlation Clustering Using Same-Cluster Queries. LATIN 2018: 14-27 - 2016
- [c14]Anup Bhattacharya, Ragesh Jaiswal, Amit Kumar:
Faster Algorithms for the Constrained k-Means Problem. STACS 2016: 16:1-16:13 - [c13]Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets, Bruce M. Kapron, Valerie King, Stefano Tessaro:
Simultaneous Secrecy and Reliability Amplification for a General Channel Model. TCC (B1) 2016: 235-261 - 2015
- [c12]Anup Bhattacharya, Davis Issac, Ragesh Jaiswal, Amit Kumar:
Sampling in Space Restricted Settings. COCOON 2015: 483-494 - 2014
- [c11]Anup Bhattacharya, Ragesh Jaiswal, Nir Ailon:
A Tight Lower Bound Instance for k-means++ in Constant Dimension. TAMC 2014: 7-22 - 2013
- [c10]Manu Agarwal, Ragesh Jaiswal, Arindam Pal:
k-means++ under Approximation Stability. TAMC 2013: 84-95 - 2012
- [c9]Ragesh Jaiswal, Nitin Garg:
Analysis of k-Means++ for Separable Data. APPROX-RANDOM 2012: 591-602 - [c8]Ragesh Jaiswal, Amit Kumar, Sandeep Sen:
A Simple D 2-Sampling Based PTAS for k-Means and other Clustering Problems. COCOON 2012: 13-24 - [c7]Raghav Bhaskar, Ragesh Jaiswal, Sidharth Telang:
Congestion lower bounds for secure in-network aggregation. WISEC 2012: 197-204 - 2009
- [c6]Ilias Diakonikolas, Parikshit Gopalan, Ragesh Jaiswal, Rocco A. Servedio, Emanuele Viola:
Bounded Independence Fools Halfspaces. FOCS 2009: 171-180 - [c5]Nir Ailon, Ragesh Jaiswal, Claire Monteleoni:
Streaming k-means approximation. NIPS 2009: 10-18 - [c4]Yevgeniy Dodis, Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets:
Security Amplification for InteractiveCryptographic Primitives. TCC 2009: 128-145 - 2008
- [c3]Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets, Avi Wigderson:
Uniform direct product theorems: simplified, optimized, and derandomized. STOC 2008: 579-588 - 2007
- [c2]Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets:
Chernoff-Type Direct Product Theorems. CRYPTO 2007: 500-516 - 2006
- [c1]Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets:
Approximately List-Decoding Direct Product Codes and Uniform Hardness Amplification. FOCS 2006: 187-196
Parts in Books or Collections
- 2018
- [p1]Ragesh Jaiswal, Sandeep Sen:
Approximate Clustering. Handbook of Approximation Algorithms and Metaheuristics (2) 2018
Informal and Other Publications
- 2024
- [i28]Ragesh Jaiswal, Amit Kumar, Jatin Yadav:
FPT Approximation for Capacitated Sum of Radii. CoRR abs/2401.06714 (2024) - [i27]Ragesh Jaiswal, Poojan Shah:
Quantum (Inspired) D2-sampling with Applications. CoRR abs/2405.13351 (2024) - 2023
- [i26]Ragesh Jaiswal, Amit Kumar:
Clustering What Matters in Constrained Settings. CoRR abs/2305.00175 (2023) - [i25]Ragesh Jaiswal, Amit Kumar:
Universal Weak Coreset. CoRR abs/2305.16890 (2023) - [i24]Ragesh Jaiswal:
A Quantum Approximation Scheme for k-Means. CoRR abs/2308.08167 (2023) - 2021
- [i23]Dishant Goyal, Ragesh Jaiswal:
FPT Approximation for Socially Fair Clustering. CoRR abs/2106.06755 (2021) - [i22]Dishant Goyal, Ragesh Jaiswal:
Tight FPT Approximation for Constrained k-Center and k-Supplier. CoRR abs/2110.14242 (2021) - 2020
- [i21]Dishant Goyal, Ragesh Jaiswal, Amit Kumar:
FPT Approximation for Constrained Metric k-Median/Means. CoRR abs/2007.11773 (2020) - [i20]Anup Bhattacharya, Dishant Goyal, Ragesh Jaiswal:
Hardness of Approximation of Euclidean k-Median. CoRR abs/2011.04221 (2020) - 2019
- [i19]Dishant Goyal, Ragesh Jaiswal, Amit Kumar:
Streaming PTAS for Constrained k-Means. CoRR abs/1909.07511 (2019) - [i18]Ragesh Jaiswal, Amit Kumar:
Multiplicative Rank-1 Approximation using Length-Squared Sampling. CoRR abs/1909.07515 (2019) - [i17]Anup Bhattacharya, Dishant Goyal, Ragesh Jaiswal, Amit Kumar:
Streaming PTAS for Binary 𝓁0-Low Rank Approximation. CoRR abs/1909.11744 (2019) - [i16]Ragesh Jaiswal:
A note on the relation between XOR and Selective XOR Lemmas. Electron. Colloquium Comput. Complex. TR19 (2019) - 2017
- [i15]Nir Ailon, Anup Bhattacharya, Ragesh Jaiswal, Amit Kumar:
Approximate Clustering with Same-Cluster Queries. CoRR abs/1704.01862 (2017) - [i14]Anup Bhattacharya, Ragesh Jaiswal:
On the k-Means/Median Cost Function. CoRR abs/1704.05232 (2017) - [i13]Nir Ailon, Anup Bhattacharya, Ragesh Jaiswal:
Approximate Correlation Clustering Using Same-Cluster Queries. CoRR abs/1712.06865 (2017) - 2016
- [i12]Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets, Bruce M. Kapron, Valerie King, Stefano Tessaro:
Simultaneous Secrecy and Reliability Amplification for a General Channel Model. IACR Cryptol. ePrint Arch. 2016: 760 (2016) - 2015
- [i11]Anup Bhattacharya, Ragesh Jaiswal, Amit Kumar:
Faster Algorithms for the Constrained k-means Problem. CoRR abs/1504.02564 (2015) - 2014
- [i10]Anup Bhattacharya, Ragesh Jaiswal, Nir Ailon:
A tight lower bound instance for k-means++ in constant dimension. CoRR abs/1401.2912 (2014) - [i9]Ragesh Jaiswal, Mehul Kumar, Pulkit Yadav:
Improved analysis of D2-sampling based PTAS for k-means and other Clustering problems. CoRR abs/1401.3685 (2014) - [i8]Ragesh Jaiswal:
On Uniform Reductions between Direct Product and XOR Lemmas. CoRR abs/1404.5169 (2014) - [i7]Anup Bhattacharya, Davis Issac, Ragesh Jaiswal, Amit Kumar:
Sampling in Space Restricted Settings. CoRR abs/1407.1689 (2014) - 2013
- [i6]Ragesh Jaiswal, Prachi Jain, Saumya Yadav:
A bad 2-dimensional instance for k-means++. CoRR abs/1306.4207 (2013) - 2012
- [i5]Ragesh Jaiswal, Amit Kumar, Sandeep Sen:
A simple D^2-sampling based PTAS for k-means and other Clustering Problems. CoRR abs/1201.4206 (2012) - [i4]Ilias Diakonikolas, Ragesh Jaiswal, Rocco A. Servedio, Li-Yang Tan, Andrew Wan:
On the Distribution of the Fourier Spectrum of Halfspaces. CoRR abs/1202.6680 (2012) - 2009
- [i3]Ilias Diakonikolas, Parikshit Gopalan, Ragesh Jaiswal, Rocco A. Servedio, Emanuele Viola:
Bounded Independence Fools Halfspaces. CoRR abs/0902.3757 (2009) - [i2]Ilias Diakonikolas, Parikshit Gopalan, Ragesh Jaiswal, Rocco A. Servedio, Emanuele Viola:
Bounded Independence Fools Halfspaces. Electron. Colloquium Comput. Complex. TR09 (2009) - 2008
- [i1]Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets, Avi Wigderson:
Uniform Direct-Product Theorems: Simplified, Optimized, and Derandomized. Electron. Colloquium Comput. Complex. TR08 (2008)
Coauthor Index
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