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Likelihood landscape and maximum likelihood estimation for the discrete
  orbit recovery model
v1v2v3v4 (latest)

Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model

Communications on Pure and Applied Mathematics (CPAM), 2020
31 March 2020
Z. Fan
Yi Sun
Tianhao Wang
Yihong Wu
ArXiv (abs)PDFHTML

Papers citing "Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model"

13 / 13 papers shown
Diagonally-Weighted Generalized Method of Moments Estimation for Gaussian Mixture Modeling
Diagonally-Weighted Generalized Method of Moments Estimation for Gaussian Mixture Modeling
Liu Zhang
Oscar Mickelin
Sheng Xu
A. Singer
261
0
0
28 Jul 2025
Learning under Latent Group Sparsity via Diffusion on Networks
Learning under Latent Group Sparsity via Diffusion on Networks
Subhroshekhar Ghosh
Soumendu Sundar Mukherjee
195
0
0
20 Jul 2025
A theoretical perspective on mode collapse in variational inference
A theoretical perspective on mode collapse in variational inference
Roman Soletskyi
Marylou Gabrié
Bruno Loureiro
DRL
254
12
0
17 Oct 2024
Minimax-optimal estimation for sparse multi-reference alignment with
  collision-free signals
Minimax-optimal estimation for sparse multi-reference alignment with collision-free signals
Subhro Ghosh
Soumendu Sundar Mukherjee
Jing Bin Pan
186
3
0
13 Dec 2023
Entropic characterization of optimal rates for learning Gaussian
  mixtures
Entropic characterization of optimal rates for learning Gaussian mixturesAnnual Conference Computational Learning Theory (COLT), 2023
Zeyu Jia
Yury Polyanskiy
Yihong Wu
382
8
0
21 Jun 2023
Dictionary Learning under Symmetries via Group Representations
Dictionary Learning under Symmetries via Group Representations
Subhro Ghosh
A. R. Low
Yong Sheng Soh
Zhuohang Feng
Brendan K. Y. Tan
OOD
261
1
0
31 May 2023
Average-Case Complexity of Tensor Decomposition for Low-Degree
  Polynomials
Average-Case Complexity of Tensor Decomposition for Low-Degree PolynomialsSymposium on the Theory of Computing (STOC), 2022
Alexander S. Wein
326
14
0
10 Nov 2022
Rates of estimation for high-dimensional multi-reference alignment
Rates of estimation for high-dimensional multi-reference alignment
Zehao Dou
Z. Fan
Harrison H. Zhou
211
7
0
04 May 2022
Learning with latent group sparsity via heat flow dynamics on networks
Learning with latent group sparsity via heat flow dynamics on networks
Subhro Ghosh
Soumendu Sundar Mukherjee
AI4CE
197
2
0
20 Jan 2022
Sparse Multi-Reference Alignment : Phase Retrieval, Uniform Uncertainty
  Principles and the Beltway Problem
Sparse Multi-Reference Alignment : Phase Retrieval, Uniform Uncertainty Principles and the Beltway Problem
Subhro Ghosh
Philippe Rigollet
260
16
0
24 Jun 2021
Multi-reference alignment in high dimensions: sample complexity and
  phase transition
Multi-reference alignment in high dimensions: sample complexity and phase transition
Elad Romanov
Tamir Bendory
Or Ordentlich
348
23
0
22 Jul 2020
Likelihood Maximization and Moment Matching in Low SNR Gaussian Mixture
  Models
Likelihood Maximization and Moment Matching in Low SNR Gaussian Mixture Models
A. Katsevich
Afonso S. Bandeira
159
24
0
26 Jun 2020
Estimation under group actions: recovering orbits from invariants
Estimation under group actions: recovering orbits from invariantsApplied and Computational Harmonic Analysis (ACHA), 2017
Afonso S. Bandeira
Ben Blum-Smith
Joe Kileel
Amelia Perry
Jonathan Niles-Weed
Alexander S. Wein
548
94
0
29 Dec 2017
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