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On Theory for BART., and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2839-2848. PMLR, (2019)Determinantal Regularization for Ensemble Variable Selection., , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1105-1113. JMLR.org, (2016)Comment: Regularization via Bayesian Penalty Mixing., and . Technometrics, 62 (4): 438-442 (2020)Posterior Concentration for Sparse Deep Learning., and . NeurIPS, page 938-949. (2018)Tree Bandits for Generative Bayes., , and . CoRR, (2024)Adaptive Uncertainty Quantification for Generative AI., , and . CoRR, (2024)On Theory for BART., and . CoRR, (2018)On Semi-parametric Inference for BART.. ICML, volume 119 of Proceedings of Machine Learning Research, page 8137-8146. PMLR, (2020)The Art of BART: Minimax Optimality over Nonhomogeneous Smoothness in High Dimension., and . J. Mach. Learn. Res., (2023)Uncertainty Quantification for Sparse Deep Learning., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 298-308. PMLR, (2020)