Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2008.02269
Cited By
v1
v2 (latest)
Computational Barriers to Estimation from Low-Degree Polynomials
5 August 2020
T. Schramm
Alexander S. Wein
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Computational Barriers to Estimation from Low-Degree Polynomials"
48 / 48 papers shown
Statistical-computational gap in multiple Gaussian graph alignment
Bertrand Even
Luca Ganassali
77
0
0
29 Nov 2025
PTF Testing Lower Bounds for Non-Gaussian Component Analysis
Ilias Diakonikolas
D. Kane
Sihan Liu
Thanasis Pittas
132
1
0
24 Nov 2025
The Algorithmic Phase Transition in Correlated Spiked Models
Zhangsong Li
362
0
0
08 Nov 2025
Phase Transition for Stochastic Block Model with more than
n
\sqrt{n}
n
Communities
Alexandra Carpentier
Christophe Giraud
Nicolas Verzélen
165
4
0
19 Sep 2025
A Smooth Computational Transition in Tensor PCA
Zhangsong Li
162
1
0
12 Sep 2025
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
Siyu Chen
Theodor Misiakiewicz
Ilias Zadik
Peiyuan Zhang
213
1
0
06 Jun 2025
High-dimensional Clustering and Signal Recovery under Block Signals
Wu Su
Yumou Qiu
195
0
0
11 Apr 2025
Scaling Open-Vocabulary Action Detection
Zhen Hao Sia
Yogesh Singh Rawat
ObjD
VLM
516
0
0
04 Apr 2025
Statistical inference of a ranked community in a directed graph
Symposium on the Theory of Computing (STOC), 2024
Dmitriy Kunisky
Daniel A. Spielman
Alexander S. Wein
Xifan Yu
264
1
0
18 Nov 2024
Minimax Optimal Probability Matrix Estimation For Graphon With Spectral Decay
Electronic Journal of Statistics (EJS), 2024
Yuchen Chen
Jing Lei
285
0
0
01 Oct 2024
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
Neural Information Processing Systems (NeurIPS), 2024
Eyar Azar
B. Nadler
349
3
0
05 Sep 2024
Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and Contaminated by Outliers
Electronic Journal of Statistics (EJS), 2024
Takeyuki Sasai
Hironori Fujisawa
404
0
0
02 Aug 2024
Sandwiching Random Geometric Graphs and Erdos-Renyi with Applications: Sharp Thresholds, Robust Testing, and Enumeration
Symposium on the Theory of Computing (STOC), 2024
Kiril Bangachev
Ang Li
198
3
0
02 Aug 2024
Inference of rankings planted in random tournaments
Dmitriy Kunisky
Daniel A. Spielman
Xifan Yu
310
1
0
23 Jul 2024
Computational lower bounds for multi-frequency group synchronization
Anastasia Kireeva
Afonso S. Bandeira
Dmitriy Kunisky
275
3
0
05 Jun 2024
Tensor cumulants for statistical inference on invariant distributions
Dmitriy Kunisky
Cristopher Moore
Alexander S. Wein
253
22
0
29 Apr 2024
Low-degree phase transitions for detecting a planted clique in sublinear time
Jay Mardia
K. A. Verchand
Alexander S. Wein
250
1
0
08 Feb 2024
Information-Theoretic Thresholds for Planted Dense Cycles
Cheng Mao
Alexander S. Wein
Shenduo Zhang
315
5
0
01 Feb 2024
Low-Degree Hardness of Detection for Correlated Erdős-Rényi Graphs
Jian Ding
Hangyu Du
Zhangsong Li
295
21
0
27 Nov 2023
Computational and Statistical Thresholds in Multi-layer Stochastic Block Models
Annals of Statistics (Ann. Stat.), 2023
Jing Lei
Anru R. Zhang
Zihan Zhu
256
10
0
13 Nov 2023
Detection-Recovery and Detection-Refutation Gaps via Reductions from Planted Clique
Annual Conference Computational Learning Theory (COLT), 2023
Guy Bresler
Tianze Jiang
301
6
0
30 Jun 2023
Detection and Recovery of Hidden Submatrices
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2023
M. Dadon
Wasim Huleihel
Tamir Bendory
394
8
0
11 Jun 2023
Bayes optimal learning in high-dimensional linear regression with network side information
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Sagnik Nandy
Subhabrata Sen
386
3
0
09 Jun 2023
Sampling, Diffusions, and Stochastic Localization
Andrea Montanari
DiffM
207
42
0
18 May 2023
Detection of Dense Subhypergraphs by Low-Degree Polynomials
A. Dhawan
Cheng Mao
Alexander S. Wein
302
18
0
17 Apr 2023
Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression
Annual Conference Computational Learning Theory (COLT), 2023
Gabriel Arpino
R. Venkataramanan
289
7
0
03 Mar 2023
Detection-Recovery Gap for Planted Dense Cycles
Annual Conference Computational Learning Theory (COLT), 2023
Cheng Mao
Alexander S. Wein
Sheng Z. Zhang
361
14
0
13 Feb 2023
Planted Bipartite Graph Detection
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Asaf Rotenberg
Wasim Huleihel
O. Shayevitz
261
3
0
07 Feb 2023
SQ Lower Bounds for Random Sparse Planted Vector Problem
International Conference on Algorithmic Learning Theory (ALT), 2023
Jingqiu Ding
Yiding Hua
268
4
0
26 Jan 2023
A polynomial time iterative algorithm for matching Gaussian matrices with non-vanishing correlation
Foundations of Computational Mathematics (FoCM), 2022
Jian Ding
Zhang Li
286
14
0
28 Dec 2022
Is it easier to count communities than find them?
Information Technology Convergence and Services (ITCS), 2022
Cynthia Rush
Fiona Skerman
Alexander S. Wein
Dana Yang
265
10
0
21 Dec 2022
Equivalence of Approximate Message Passing and Low-Degree Polynomials in Rank-One Matrix Estimation
Probability theory and related fields (PTRF), 2022
Andrea Montanari
Alexander S. Wein
263
36
0
14 Dec 2022
Learning and Testing Latent-Tree Ising Models Efficiently
Annual Conference Computational Learning Theory (COLT), 2022
Davin Choo
Y. Dagan
C. Daskalakis
Anthimos Vardis Kandiros
302
9
0
23 Nov 2022
Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials
Symposium on the Theory of Computing (STOC), 2022
Alexander S. Wein
323
14
0
10 Nov 2022
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
Annals of Statistics (Ann. Stat.), 2022
Yuetian Luo
Anru R. Zhang
366
27
0
17 Jun 2022
Statistical and Computational Phase Transitions in Group Testing
Annual Conference Computational Learning Theory (COLT), 2022
A. Coja-Oghlan
Oliver Gebhard
Max Hahn-Klimroth
Alexander S. Wein
Ilias Zadik
216
23
0
15 Jun 2022
When Does Adaptivity Help for Quantum State Learning?
IEEE Annual Symposium on Foundations of Computer Science (FOCS), 2022
Sitan Chen
Brice Huang
Jungshian Li
Allen Liu
Mark Sellke
177
40
0
10 Jun 2022
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
Neural Information Processing Systems (NeurIPS), 2022
Afonso S. Bandeira
A. Alaoui
Samuel B. Hopkins
T. Schramm
Alexander S. Wein
Ilias Zadik
293
46
0
19 May 2022
Reconstruction on Trees and Low-Degree Polynomials
Frederic Koehler
Elchanan Mossel
404
12
0
14 Sep 2021
The Algorithmic Phase Transition of Random
k
k
k
-SAT for Low Degree Polynomials
IEEE Annual Symposium on Foundations of Computer Science (FOCS), 2021
Guy Bresler
Brice Huang
294
52
0
03 Jun 2021
Optimal Spectral Recovery of a Planted Vector in a Subspace
Cheng Mao
Alexander S. Wein
312
27
0
31 May 2021
Group testing and local search: is there a computational-statistical gap?
Fotis Iliopoulos
Ilias Zadik
301
6
0
10 Nov 2020
Hypothesis testing with low-degree polynomials in the Morris class of exponential families
Dmitriy Kunisky
274
10
0
07 Nov 2020
Optimal Low-Degree Hardness of Maximum Independent Set
Alexander S. Wein
393
70
0
13 Oct 2020
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Annual Conference Computational Learning Theory (COLT), 2020
Matthew Brennan
Guy Bresler
Samuel B. Hopkins
Haibin Zhang
T. Schramm
481
66
0
13 Sep 2020
Is the space complexity of planted clique recovery the same as that of detection?
Information Technology Convergence and Services (ITCS), 2020
Jay Mardia
213
2
0
28 Aug 2020
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits
Yuetian Luo
Anru R. Zhang
581
52
0
21 May 2020
The Overlap Gap Property in Principal Submatrix Recovery
Probability theory and related fields (PTRF), 2019
D. Gamarnik
Aukosh Jagannath
S. Sen
283
30
0
26 Aug 2019
1
Page 1 of 1
