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1711.07465
Cited By
Better Agnostic Clustering Via Relaxed Tensor Norms
20 November 2017
Pravesh Kothari
Jacob Steinhardt
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Papers citing
"Better Agnostic Clustering Via Relaxed Tensor Norms"
13 / 13 papers shown
Title
Tolerant Algorithms for Learning with Arbitrary Covariate Shift
Surbhi Goel
Abhishek Shetty
Konstantinos Stavropoulos
Arsen Vasilyan
OOD
34
2
0
04 Jun 2024
Private Distribution Learning with Public Data: The View from Sample Compression
Shai Ben-David
Alex Bie
C. Canonne
Gautam Kamath
Vikrant Singhal
49
11
0
11 Aug 2023
Tester-Learners for Halfspaces: Universal Algorithms
Aravind Gollakota
Adam R. Klivans
Konstantinos Stavropoulos
Arsen Vasilyan
37
8
0
19 May 2023
List-Decodable Covariance Estimation
Misha Ivkov
Pravesh Kothari
24
7
0
22 Jun 2022
Robust Sparse Mean Estimation via Sum of Squares
Ilias Diakonikolas
D. Kane
Sushrut Karmalkar
Ankit Pensia
Thanasis Pittas
28
21
0
07 Jun 2022
Private Robust Estimation by Stabilizing Convex Relaxations
Pravesh Kothari
Pasin Manurangsi
A. Velingker
38
46
0
07 Dec 2021
Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally
Pravesh Kothari
Peter Manohar
Brian Hu Zhang
25
16
0
22 Oct 2021
An Exponential Lower Bound for Linearly-Realizable MDPs with Constant Suboptimality Gap
Yuanhao Wang
Ruosong Wang
Sham Kakade
OffRL
39
43
0
23 Mar 2021
Outlier-Robust Clustering of Non-Spherical Mixtures
Ainesh Bakshi
Pravesh Kothari
27
31
0
06 May 2020
List Decodable Subspace Recovery
P. Raghavendra
Morris Yau
38
25
0
07 Feb 2020
List-Decodable Linear Regression
Sushrut Karmalkar
Adam R. Klivans
Pravesh Kothari
34
74
0
14 May 2019
Efficient Algorithms and Lower Bounds for Robust Linear Regression
Ilias Diakonikolas
Weihao Kong
Alistair Stewart
27
161
0
31 May 2018
Efficient Algorithms for Outlier-Robust Regression
Adam R. Klivans
Pravesh Kothari
Raghu Meka
AAML
24
154
0
08 Mar 2018
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