Veronika Rocková

21 papers A* 2A 4Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generative Bayesian Inference with GANs.
J. Mach. Learn. Res.
Yuexi Wang, Veronika Rocková
2026 J jnl
Jigsaw Regularization in Whole-Slide Image Classification.
CoRR
So Won Jeong, Veronika Rocková
2025 J jnl
AI-Powered Bayesian Inference.
CoRR
Veronika Rocková, Sean O'Hagan
2025 J jnl
Conditional Flow Matching for Bayesian Posterior Inference.
CoRR
So Won Jeong, Percy S. Zhai, Veronika Rocková
2025 A conf
Deep Generative Quantile Bayes.
AISTATS
Jungeum Kim, Percy S. Zhai, Veronika Rocková
2025 J jnl
From Small to Large Language Models: Revisiting the Federalist Papers.
CoRR
So Won Jeong, Veronika Rocková
2024 J jnl
Adaptive Uncertainty Quantification for Generative AI.
CoRR
Jungeum Kim, Sean O'Hagan, Veronika Rocková
2024 J jnl
Tree Bandits for Generative Bayes.
CoRR
Sean O'Hagan, Jungeum Kim, Veronika Rocková
2023 J jnl
The Art of BART: Minimax Optimality over Nonhomogeneous Smoothness in High Dimension.
J. Mach. Learn. Res.
Seonghyun Jeong, Veronika Rocková
2022 J jnl
Adaptive Bayesian SLOPE: Model Selection With Incomplete Data.
J. Comput. Graph. Stat.
Wei Jiang, Malgorzata Bogdan, Julie Josse, Szymon Majewski, Blazej Miasojedow, Veronika Rocková
2022 J jnl
Approximate Bayesian Computation via Classification.
J. Mach. Learn. Res.
Yuexi Wang, Tetsuya Kaji, Veronika Rocková
2020 J jnl
Comment: Regularization via Bayesian Penalty Mixing.
Technometrics
Edward I. George, Veronika Rocková
2020 A* conf
On Semi-parametric Inference for BART.
ICML
Veronika Rocková
2020 A conf
Uncertainty Quantification for Sparse Deep Learning.
AISTATS
Yuexi Wang, Veronika Rocková
2020 J jnl
Variable Selection via Thompson Sampling.
CoRR
Yi Liu, Veronika Rocková
2019 A conf
On Theory for BART.
AISTATS
Veronika Rocková, Enakshi Saha
2018 J jnl
On Theory for BART.
CoRR
Veronika Rocková, Enakshi Saha
2018 A* conf
Posterior Concentration for Sparse Deep Learning.
NeurIPS
Veronika Rocková, Nicholas Polson
2018 J jnl
Posterior Concentration for Sparse Deep Learning.
CoRR
Nicholas Polson, Veronika Rocková
2017 — conf
Bayesian Dyadic Trees and Histograms for Regression.
NIPS
Stéphanie van der Pas, Veronika Rocková
2016 A conf
Determinantal Regularization for Ensemble Variable Selection.
AISTATS
Veronika Rocková, Gemma E. Moran, Edward I. George