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Reducibility and Statistical-Computational Gaps from Secret Leakage

Reducibility and Statistical-Computational Gaps from Secret Leakage

16 May 2020
Matthew Brennan
Guy Bresler
ArXivPDFHTML

Papers citing "Reducibility and Statistical-Computational Gaps from Secret Leakage"

24 / 24 papers shown
Title
LLM Watermarking Using Mixtures and Statistical-to-Computational Gaps
LLM Watermarking Using Mixtures and Statistical-to-Computational Gaps
Pedro Abdalla
Roman Vershynin
WaLM
35
0
0
02 May 2025
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier
Francesco Camilli
Justin Ko
Koki Okajima
21
5
0
04 Nov 2024
Computational lower bounds for multi-frequency group synchronization
Computational lower bounds for multi-frequency group synchronization
Anastasia Kireeva
Afonso S. Bandeira
Dmitriy Kunisky
46
1
0
05 Jun 2024
Robust Sparse Estimation for Gaussians with Optimal Error under Huber
  Contamination
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
Ilias Diakonikolas
Daniel M. Kane
Sushrut Karmalkar
Ankit Pensia
Thanasis Pittas
34
0
0
15 Mar 2024
Do algorithms and barriers for sparse principal component analysis
  extend to other structured settings?
Do algorithms and barriers for sparse principal component analysis extend to other structured settings?
Guanyi Wang
Mengqi Lou
A. Pananjady
CML
33
1
0
25 Jul 2023
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
David X. Wu
A. Sahai
26
2
0
23 Jun 2023
Robust Sparse Mean Estimation via Incremental Learning
Robust Sparse Mean Estimation via Incremental Learning
Jianhao Ma
Ruidi Chen
Yinghui He
S. Fattahi
Wei Hu
36
0
0
24 May 2023
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Ilias Diakonikolas
D. Kane
Jasper C. H. Lee
Ankit Pensia
17
12
0
29 Nov 2022
Learning and Testing Latent-Tree Ising Models Efficiently
Learning and Testing Latent-Tree Ising Models Efficiently
Davin Choo
Y. Dagan
C. Daskalakis
Anthimos Vardis Kandiros
22
8
0
23 Nov 2022
Tensor-on-Tensor Regression: Riemannian Optimization,
  Over-parameterization, Statistical-computational Gap, and Their Interplay
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
Yuetian Luo
Anru R. Zhang
29
19
0
17 Jun 2022
Robust Testing in High-Dimensional Sparse Models
Robust Testing in High-Dimensional Sparse Models
Anand George
C. Canonne
33
3
0
16 May 2022
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Jiaxin Hu
Miaoyan Wang
20
4
0
19 Jan 2022
Selective Multiple Power Iteration: from Tensor PCA to gradient-based
  exploration of landscapes
Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes
M. Ouerfelli
M. Tamaazousti
V. Rivasseau
31
7
0
23 Dec 2021
Non-Gaussian Component Analysis via Lattice Basis Reduction
Non-Gaussian Component Analysis via Lattice Basis Reduction
Ilias Diakonikolas
D. Kane
25
18
0
16 Dec 2021
Inferring Hidden Structures in Random Graphs
Inferring Hidden Structures in Random Graphs
Wasim Huleihel
14
7
0
05 Oct 2021
Random Subgraph Detection Using Queries
Random Subgraph Detection Using Queries
Wasim Huleihel
A. Mazumdar
S. Pal
23
6
0
02 Oct 2021
Outlier-Robust Sparse Estimation via Non-Convex Optimization
Outlier-Robust Sparse Estimation via Non-Convex Optimization
Yu Cheng
Ilias Diakonikolas
Rong Ge
Shivam Gupta
D. Kane
Mahdi Soltanolkotabi
34
13
0
23 Sep 2021
Tensor Principal Component Analysis in High Dimensional CP Models
Tensor Principal Component Analysis in High Dimensional CP Models
Yuefeng Han
Cun-Hui Zhang
23
10
0
10 Aug 2021
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Matthew Brennan
Guy Bresler
Samuel B. Hopkins
J. Li
T. Schramm
19
62
0
13 Sep 2020
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique
  Detection
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection
Yuetian Luo
Anru R. Zhang
22
14
0
12 Sep 2020
Computationally efficient sparse clustering
Computationally efficient sparse clustering
Matthias Löffler
Alexander S. Wein
Afonso S. Bandeira
25
14
0
21 May 2020
Tensor Clustering with Planted Structures: Statistical Optimality and
  Computational Limits
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits
Yuetian Luo
Anru R. Zhang
24
44
0
21 May 2020
Subexponential-Time Algorithms for Sparse PCA
Subexponential-Time Algorithms for Sparse PCA
Yunzi Ding
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
20
57
0
26 Jul 2019
Improved Graph Clustering
Improved Graph Clustering
Yudong Chen
Sujay Sanghavi
Huan Xu
92
191
0
11 Oct 2012
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