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Testing for high-dimensional geometry in random graphs

20 November 2014

Jian Ding

Papers citing "Testing for high-dimensional geometry in random graphs"

50 / 67 papers shown

Title
The Algorithmic Phase Transition in Correlated Spiked Models Zhangsong Li 215 0 0 08 Nov 2025
A Smooth Computational Transition in Tensor PCA Zhangsong Li 89 1 0 12 Sep 2025
Scaling Open-Vocabulary Action Detection Zhen Hao Sia Yogesh Singh Rawat ObjD VLM 424 0 0 04 Apr 2025
Harnessing Multiple Correlated Networks for Exact Community RecoveryNeural Information Processing Systems (NeurIPS), 2024 Miklós Z. Rácz Jifan Zhang 276 3 0 03 Dec 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit LearnabilityNeural Information Processing Systems (NeurIPS), 2024 Fan Chen Dylan J. Foster Yanjun Han Jian Qian Alexander Rakhlin Yunbei Xu 252 3 0 07 Oct 2024
Sandwiching Random Geometric Graphs and Erdos-Renyi with Applications: Sharp Thresholds, Robust Testing, and EnumerationSymposium on the Theory of Computing (STOC), 2024 Kiril Bangachev Ang Li 166 1 0 02 Aug 2024
Impossibility of latent inner product recovery via rate distortion Cheng Mao Shenduo Zhang 180 2 0 16 Jul 2024
Tensor cumulants for statistical inference on invariant distributions Dmitriy Kunisky Cristopher Moore Alexander S. Wein 210 20 0 29 Apr 2024
On The Fourier Coefficients of High-Dimensional Random Geometric Graphs Kiril Bangachev Guy Bresler 185 5 0 19 Feb 2024
Information-Theoretic Thresholds for Planted Dense Cycles Cheng Mao Alexander S. Wein Shenduo Zhang 229 5 0 01 Feb 2024
A note on estimating the dimension from a random geometric graphElectronic Journal of Statistics (EJS), 2023 Caelan Atamanchuk Luc Devroye Gabor Lugosi 101 2 0 21 Nov 2023
Goodness-of-fit via Count Statistics in Dense Random Simplicial ComplexesFoundations of Data Science (FDS), 2023 Tadas Temvcinas Vidit Nanda Gesine Reinert 127 0 0 25 Sep 2023
Query lower bounds for log-concave samplingIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2023 Sinho Chewi Jaume de Dios Pont Jerry Li Chen Lu Shyam Narayanan 337 14 0 05 Apr 2023
Localized geometry detection in scale-free random graphs G. Bet Riccardo Michielan C. Stegehuis 164 0 0 06 Mar 2023
Detection-Recovery Gap for Planted Dense CyclesAnnual Conference Computational Learning Theory (COLT), 2023 Cheng Mao Alexander S. Wein Sheng Z. Zhang 297 13 0 13 Feb 2023
Statistical Complexity and Optimal Algorithms for Non-linear Ridge BanditsAnnals of Statistics (Ann. Stat.), 2023 Nived Rajaraman Yanjun Han Jiantao Jiao Kannan Ramchandran 421 3 0 12 Feb 2023
Local and global expansion in random geometric graphsSymposium on the Theory of Computing (STOC), 2022 Siqi Liu Sidhanth Mohanty T. Schramm E. Yang 207 7 0 01 Oct 2022
Random graph matching at Otter's threshold via counting chandeliersSymposium on the Theory of Computing (STOC), 2022 Cheng Mao Yihong Wu Jiaming Xu Sophie H. Yu 256 56 0 25 Sep 2022
Threshold for Detecting High Dimensional Geometry in Anisotropic Random Geometric Graphs Matthew Brennan Guy Bresler Brice Huang 75 7 0 29 Jun 2022
Community Recovery in the Geometric Block ModelJournal of machine learning research (JMLR), 2022 Sainyam Galhotra A. Mazumdar S. Pal B. Saha 255 8 0 22 Jun 2022
Power Enhancement and Phase Transitions for Global Testing of the Mixed Membership Stochastic Block ModelBernoulli (Bernoulli), 2022 Louis V. Cammarata Z. Ke 32 8 0 23 Apr 2022
Information-theoretic Limits for Testing Community Structures in Weighted Networks Mingao Yuan Zuofeng Shang 89 1 0 19 Apr 2022
Random Geometric Graph: Some recent developments and perspectives Quentin Duchemin Yohann De Castro 256 26 0 29 Mar 2022
Random Graph Matching in Geometric Models: the Case of Complete GraphsAnnual Conference Computational Learning Theory (COLT), 2022 Haoyu Wang Yihong Wu Jiaming Xu Israel Yolou 216 34 0 22 Feb 2022
A probabilistic view of latent space graphs and phase transitions Suqi Liu Miklós Z. Rácz 246 9 0 29 Oct 2021
Testing network correlation efficiently via counting treesAnnals of Statistics (Ann. Stat.), 2021 Cheng Mao Yihong Wu Jiaming Xu Sophie H. Yu 220 41 0 22 Oct 2021
Reconstruction of Random Geometric Graphs: Breaking the Omega(r) distortion barrier Varsha Dani J. Díaz Thomas P. Hayes Cristopher Moore 132 2 0 29 Jul 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive LossNeural Information Processing Systems (NeurIPS), 2021 Jeff Z. HaoChen Colin Wei Adrien Gaidon Tengyu Ma SSL 574 367 0 08 Jun 2021
Phase transition in noisy high-dimensional random geometric graphsElectronic Journal of Statistics (EJS), 2021 Suqi Liu Miklós Z. Rácz 189 18 0 28 Mar 2021
Non-asymptotic approximations of neural networks by Gaussian processesAnnual Conference Computational Learning Theory (COLT), 2021 Ronen Eldan Dan Mikulincer T. Schramm 243 24 0 17 Feb 2021
Sharp Local Minimax Rates for Goodness-of-Fit Testing in multivariate Binomial and Poisson families and in multinomialsMathematical Statistics and Learning (MSL), 2020 J. Chhor Alexandra Carpentier 181 10 0 26 Dec 2020
Combinatorial-Probabilistic Trade-Off: Community Properties Test in the Stochastic Block Models Shuting Shen Junwei Lu 220 0 0 28 Oct 2020
Random Geometric Graphs on Euclidean Balls Ernesto Araya Valdivia 157 4 0 26 Oct 2020
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative ChaosIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020 Subhro Ghosh Krishnakumar Balasubramanian Xiaochuan Yang 168 4 0 07 Aug 2020
Higher-order fluctuations in dense random graph models Gursharn Kaur Adrian Röllin 145 17 0 29 Jun 2020
Community detection and percolation of information in a geometric setting Ronen Eldan Dan Mikulincer Hester Frederiek Pieters 176 9 0 28 Jun 2020
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic NetworksElectronic Journal of Statistics (EJS), 2020 Quentin Duchemin Yohann De Castro 270 7 0 12 Jun 2020
Detecting a botnet in a network G. Bet K. Bogerd Rui M. Castro R. Hofstad 166 3 0 21 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 334 100 0 16 May 2020
A CLT in Stein's distance for generalized Wishart matrices and higher order tensors Dan Mikulincer 78 18 0 25 Feb 2020
Phase Transitions for Detecting Latent Geometry in Random GraphsProbability theory and related fields (PTRF), 2019 Matthew Brennan Guy Bresler Dheeraj M. Nagaraj 246 37 0 30 Oct 2019
Latent Distance Estimation for Random Geometric GraphsNeural Information Processing Systems (NeurIPS), 2019 Ernesto Araya Valdivia Yohann De Castro OT 167 23 0 15 Sep 2019
Differentially Private Link Prediction With Protected Connections A. De Soumen Chakrabarti 194 2 0 20 Jul 2019
Optimal Adaptivity of Signed-Polygon Statistics for Network Testing Jiashun Jin Z. Ke Shengming Luo 210 48 0 21 Apr 2019
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness Matthew Brennan Guy Bresler 166 54 0 20 Feb 2019
Gibbs posterior convergence and the thermodynamic formalism K. Mcgoff S. Mukherjee A. Nobel 246 10 0 24 Jan 2019
Relative concentration bounds for the spectrum of kernel matrices Ernesto Araya Valdivia 470 8 0 05 Dec 2018
Learning random points from geometric graphs or orderings J. Díaz C. McDiarmid D. Mitsche 213 9 0 26 Sep 2018
Connectivity in Random Annulus Graphs and the Geometric Block Model Sainyam Galhotra A. Mazumdar S. Pal B. Saha 261 11 0 12 Apr 2018
Optimal link prediction with matrix logistic regression Nicolai Baldin Quentin Berthet 160 17 0 19 Mar 2018