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1409.8491
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Model selection and minimax estimation in generalized linear models
30 September 2014
F. Abramovich
V. Grinshtein
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Papers citing
"Model selection and minimax estimation in generalized linear models"
15 / 15 papers shown
Title
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On properties of fractional posterior in generalized reduced-rank regression
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On high-dimensional classification by sparse generalized Bayesian logistic regression
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19 Mar 2024
Structured Low-Rank Tensors for Generalized Linear Models
Batoul Taki
Anand D. Sarwate
W. Bajwa
56
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05 Aug 2023
Empirical Bayes inference in sparse high-dimensional generalized linear models
Yiqi Tang
Ryan Martin
97
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14 Mar 2023
Heterogeneous Overdispersed Count Data Regressions via Double Penalized Estimations
Shaomin Li
Haoyu Wei
Xiaoyu Lei
57
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07 Oct 2021
Adaptive posterior convergence in sparse high dimensional clipped generalized linear models
B. Guha
D. Pati
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15 Mar 2021
Non-asymptotic Optimal Prediction Error for Growing-dimensional Partially Functional Linear Models
Huiming Zhang
Xiaoyu Lei
88
1
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10 Sep 2020
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
F. Abramovich
V. Grinshtein
Tomer Levy
71
25
0
04 Mar 2020
Optimal link prediction with matrix logistic regression
Nicolai Baldin
Quentin Berthet
64
17
0
19 Mar 2018
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
F. Abramovich
V. Grinshtein
71
57
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26 Jun 2017
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