Ročková, Veronika

9 publications

AISTATS 2025 Deep Generative Quantile Bayes Jungeum Kim, Percy S. Zhai, Veronika Rockova

JMLR 2023 The Art of BART: Minimax Optimality over Nonhomogeneous Smoothness in High Dimension Seonghyun Jeong, Veronika Rockova

JMLR 2022 Approximate Bayesian Computation via Classification Yuexi Wang, Tetsuya Kaji, Veronika Rockova

ICML 2020 On Semi-Parametric Inference for BART Veronika Rockova

AISTATS 2020 Uncertainty Quantification for Sparse Deep Learning Yuexi Wang, Veronika Rockova

AISTATS 2019 On Theory for BART Veronika Ročková, Enakshi Saha

NeurIPS 2018 Posterior Concentration for Sparse Deep Learning Nicholas G Polson, Veronika Ročková

NeurIPS 2017 Bayesian Dyadic Trees and Histograms for Regression Stéphanie van der Pas, Veronika Ročková

AISTATS 2016 Determinantal Regularization for Ensemble Variable Selection Veronika Rocková, Gemma E. Moran, Edward I. George