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Semi-Structured Deep Piecewise Exponential Models., , , , , и . CoRR, (2020)Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization., , и . CoRR, (2021)Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization., , и . J. Comput. Graph. Stat., 32 (2): 631-641 (апреля 2023)Probabilistic time series forecasts with autoregressive transformation models., , , и . Stat. Comput., 33 (2): 37 (апреля 2023)Inference for L2-Boosting., и . Stat. Comput., 30 (2): 279-289 (2020)Deep Conditional Transformation Models., , и . ECML/PKDD (3), том 12977 из Lecture Notes in Computer Science, стр. 3-18. Springer, (2021)DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis., , , , и . PAKDD (2), том 13281 из Lecture Notes in Computer Science, стр. 249-261. Springer, (2022)Bayesian Semi-structured Subspace Inference., , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 1819-1827. PMLR, (2024)Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach., , и . CoRR, (2021)Conditional Model Selection in Mixed-Effects Models with cAIC4., , , и . J. Stat. Softw., (2021)