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Entropy Regularization in Deep Reinforcement Learning: A Structured Review Across Classical Control, Generative Policies, and Reasoning Language Models. [PDF]
Taricco G.
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Controlling false discoveries in high-dimensional situations: boosting with stability selection. [PDF]
Hofner B, Boccuto L, Göker M.
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Women and insurance pricing policies: a gender-based analysis with GAMLSS on two actuarial datasets. [PDF]
Pernagallo G, Punzo A, Torrisi B.
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Geographically Weighted Quantile Regression (GWQR): An Application to U.S. Mortality Data. [PDF]
Chen VY, Deng WS, Yang TC, Matthews SA.
europepmc +1 more source
Weighted Expectile Regression Neural Networks for Right Censored Data
As a favorable alternative to the censored quantile regression, censored expectile regression has been popular in survival analysis due to its flexibility in modeling the heterogeneous effect of covariates. The existing weighted expectile regression (WER)
Caiyun Fan, Feipeng Zhang
exaly +6 more sources
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Prediction of Extremal Expectile Based on Regression Models With Heteroscedastic Extremes
Journal of Business and Economic Statistics, 2022Deyuan Li
exaly
Expectile regression forest: A new nonparametric expectile regression model
Expert Systems, 2023Chao Cai
exaly

