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Model selection and minimax estimation in generalized linear models
v1v2v3 (latest)

Model selection and minimax estimation in generalized linear models

30 September 2014
F. Abramovich
V. Grinshtein
ArXiv (abs)PDFHTML

Papers citing "Model selection and minimax estimation in generalized linear models"

15 / 15 papers shown
Title
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
Tien Mai
63
2
0
13 May 2025
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models
Tien Mai
FedML
100
0
0
14 Apr 2025
High-dimensional prediction for count response via sparse exponential
  weights
High-dimensional prediction for count response via sparse exponential weights
The Tien Mai
71
0
0
20 Oct 2024
On properties of fractional posterior in generalized reduced-rank
  regression
On properties of fractional posterior in generalized reduced-rank regression
The Tien Mai
88
2
0
27 Apr 2024
On high-dimensional classification by sparse generalized Bayesian
  logistic regression
On high-dimensional classification by sparse generalized Bayesian logistic regression
The Tien Mai
75
2
0
19 Mar 2024
Structured Low-Rank Tensors for Generalized Linear Models
Structured Low-Rank Tensors for Generalized Linear Models
Batoul Taki
Anand D. Sarwate
W. Bajwa
56
2
0
05 Aug 2023
Empirical Bayes inference in sparse high-dimensional generalized linear
  models
Empirical Bayes inference in sparse high-dimensional generalized linear models
Yiqi Tang
Ryan Martin
97
3
0
14 Mar 2023
Heterogeneous Overdispersed Count Data Regressions via Double Penalized
  Estimations
Heterogeneous Overdispersed Count Data Regressions via Double Penalized Estimations
Shaomin Li
Haoyu Wei
Xiaoyu Lei
57
6
0
07 Oct 2021
Adaptive posterior convergence in sparse high dimensional clipped
  generalized linear models
Adaptive posterior convergence in sparse high dimensional clipped generalized linear models
B. Guha
D. Pati
99
0
0
15 Mar 2021
Non-asymptotic Optimal Prediction Error for Growing-dimensional
  Partially Functional Linear Models
Non-asymptotic Optimal Prediction Error for Growing-dimensional Partially Functional Linear Models
Huiming Zhang
Xiaoyu Lei
88
1
0
10 Sep 2020
Linear Models are Most Favorable among Generalized Linear Models
Linear Models are Most Favorable among Generalized Linear Models
Kuan-Yun Lee
T. Courtade
10
1
0
09 Jun 2020
Multiclass classification by sparse multinomial logistic regression
Multiclass classification by sparse multinomial logistic regression
F. Abramovich
V. Grinshtein
Tomer Levy
71
25
0
04 Mar 2020
Optimal link prediction with matrix logistic regression
Optimal link prediction with matrix logistic regression
Nicolai Baldin
Quentin Berthet
64
17
0
19 Mar 2018
Learning Low-Dimensional Metrics
Learning Low-Dimensional Metrics
Lalit P. Jain
Blake Mason
Robert D. Nowak
85
38
0
18 Sep 2017
High-dimensional classification by sparse logistic regression
High-dimensional classification by sparse logistic regression
F. Abramovich
V. Grinshtein
71
57
0
26 Jun 2017
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