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ORCIDAravindan Vijayaraghavan
Publications
- 2024
[c42]Aditya Bhaskara
, Eric Evert, Vaidehi Srinivas, Aravindan Vijayaraghavan:
New Tools for Smoothed Analysis: Least Singular Value Bounds for Random Matrices with Dependent Entries. STOC 2024: 375-386- [i42]Aditya Bhaskara, Eric Evert, Vaidehi Srinivas, Aravindan Vijayaraghavan:
New Tools for Smoothed Analysis: Least Singular Value Bounds for Random Matrices with Dependent Entries. CoRR abs/2405.01517 (2024) - 2022
- [j3]Aditya Bhaskara, Aidao Chen, Aidan Perreault, Aravindan Vijayaraghavan:
Smoothed analysis for tensor methods in unsupervised learning. Math. Program. 193(2): 549-599 (2022) - 2019
- [c24]Aditya Bhaskara, Aidao Chen, Aidan Perreault, Aravindan Vijayaraghavan:
Smoothed Analysis in Unsupervised Learning via Decoupling. FOCS 2019: 582-610 - 2018
- [i20]Aditya Bhaskara, Aidao Chen, Aidan Perreault, Aravindan Vijayaraghavan:
Smoothed Analysis in Unsupervised Learning via Decoupling. CoRR abs/1811.12361 (2018) - 2014
- [c13]Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan:
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability. COLT 2014: 742-778 - [c12]Aditya Bhaskara, Moses Charikar, Ankur Moitra, Aravindan Vijayaraghavan:
Open Problem: Tensor Decompositions: Algorithms up to the Uniqueness Threshold? COLT 2014: 1280-1282 - [c8]Aditya Bhaskara, Moses Charikar, Ankur Moitra, Aravindan Vijayaraghavan:
Smoothed analysis of tensor decompositions. STOC 2014: 594-603 - 2013
- [i9]Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan:
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability. CoRR abs/1304.8087 (2013) - [i7]Aditya Bhaskara, Moses Charikar, Ankur Moitra, Aravindan Vijayaraghavan:
Smoothed Analysis of Tensor Decompositions. CoRR abs/1311.3651 (2013) - 2012
- [c6]Aditya Bhaskara, Moses Charikar, Rajsekar Manokaran, Aravindan Vijayaraghavan:
On Quadratic Programming with a Ratio Objective. ICALP (1) 2012: 109-120 - [c5]Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan, Venkatesan Guruswami, Yuan Zhou:
Polynomial integrality gaps for strong SDP relaxations of Densest k-subgraph. SODA 2012: 388-405 - 2011
- [c2]Aditya Bhaskara, Aravindan Vijayaraghavan:
Approximating Matrix p-norms. SODA 2011: 497-511 - [i5]Aditya Bhaskara, Moses Charikar, Rajsekar Manokaran, Aravindan Vijayaraghavan:
On Quadratic Programming with a Ratio Objective. CoRR abs/1101.1710 (2011) - [i4]Aditya Bhaskara, Moses Charikar, Venkatesan Guruswami, Aravindan Vijayaraghavan, Yuan Zhou:
Polynomial integrality gaps for strong SDP relaxations of Densest k-subgraph. CoRR abs/1110.1360 (2011) - 2010
- [c1]Aditya Bhaskara, Moses Charikar, Eden Chlamtac, Uriel Feige, Aravindan Vijayaraghavan:
Detecting high log-densities: an O(n1/4) approximation for densest k-subgraph. STOC 2010: 201-210 - [i2]Aditya Bhaskara, Aravindan Vijayaraghavan:
Computing the Matrix p-norm. CoRR abs/1001.2613 (2010) - [i1]Aditya Bhaskara, Moses Charikar, Eden Chlamtac, Uriel Feige, Aravindan Vijayaraghavan:
Detecting High Log-Densities -- an O(n^1/4) Approximation for Densest k-Subgraph. CoRR abs/1001.2891 (2010)
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