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Non-Gaussian Component Analysis via Lattice Basis Reduction

Non-Gaussian Component Analysis via Lattice Basis Reduction

16 December 2021
Ilias Diakonikolas
D. Kane
ArXivPDFHTML

Papers citing "Non-Gaussian Component Analysis via Lattice Basis Reduction"

13 / 13 papers shown
Title
Sum-of-squares lower bounds for Non-Gaussian Component Analysis
Sum-of-squares lower bounds for Non-Gaussian Component Analysis
Ilias Diakonikolas
Sushrut Karmalkar
Shuo Pang
Aaron Potechin
22
3
0
28 Oct 2024
Cryptographic Hardness of Score Estimation
Cryptographic Hardness of Score Estimation
Min Jae Song
25
0
0
04 Apr 2024
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker
  Assumptions
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions
Ilias Diakonikolas
Daniel M. Kane
Lisheng Ren
Yuxin Sun
13
10
0
07 Mar 2024
Computational-Statistical Gaps for Improper Learning in Sparse Linear
  Regression
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression
Rares-Darius Buhai
Jingqiu Ding
Stefan Tiegel
21
2
0
21 Feb 2024
Sparse PCA Beyond Covariance Thresholding
Sparse PCA Beyond Covariance Thresholding
Gleb Novikov
13
1
0
20 Feb 2023
SQ Lower Bounds for Random Sparse Planted Vector Problem
SQ Lower Bounds for Random Sparse Planted Vector Problem
Jingqiu Ding
Yiding Hua
19
4
0
26 Jan 2023
Average-Case Complexity of Tensor Decomposition for Low-Degree
  Polynomials
Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials
Alexander S. Wein
27
9
0
10 Nov 2022
The Franz-Parisi Criterion and Computational Trade-offs in High
  Dimensional Statistics
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
Afonso S. Bandeira
A. Alaoui
Samuel B. Hopkins
T. Schramm
Alexander S. Wein
Ilias Zadik
40
28
0
19 May 2022
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Sitan Chen
Aravind Gollakota
Adam R. Klivans
Raghu Meka
21
30
0
10 Feb 2022
Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for
  Non-Spherical Gaussian Mixtures
Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for Non-Spherical Gaussian Mixtures
Rares-Darius Buhai
David Steurer
CoGe
24
3
0
10 Dec 2021
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Ilias Zadik
M. Song
Alexander S. Wein
Joan Bruna
11
35
0
07 Dec 2021
Optimal Spectral Recovery of a Planted Vector in a Subspace
Optimal Spectral Recovery of a Planted Vector in a Subspace
Cheng Mao
Alexander S. Wein
17
18
0
31 May 2021
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
62
230
0
25 May 2018
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