Veronika Rocková

According to our database, Veronika Rocková authored at least 20 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Dynamic Treatment on Networks.

Bengusu Nar, Jiguang Li, Veronika Rocková, Panos Toulis

CoRR, May, 2026

Jigsaw Regularization in Whole-Slide Image Classification.

So Won Jeong, Veronika Rocková

CoRR, March, 2026

Generative Bayesian Inference with GANs.

Yuexi Wang, Veronika Rocková

J. Mach. Learn. Res., 2026

2025

Conditional Flow Matching for Bayesian Posterior Inference.

So Won Jeong, Percy S. Zhai, Veronika Rocková

CoRR, October, 2025

From Small to Large Language Models: Revisiting the Federalist Papers.

So Won Jeong, Veronika Rocková

CoRR, March, 2025

AI-Powered Bayesian Inference.

Veronika Rocková, Sean O'Hagan

CoRR, February, 2025

Deep Generative Quantile Bayes.

Jungeum Kim, Percy S. Zhai, Veronika Rocková

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Adaptive Uncertainty Quantification for Generative AI.

Jungeum Kim, Sean O'Hagan, Veronika Rocková

CoRR, 2024

Tree Bandits for Generative Bayes.

Sean O'Hagan, Jungeum Kim, Veronika Rocková

CoRR, 2024

2023

The Art of BART: Minimax Optimality over Nonhomogeneous Smoothness in High Dimension.

Seonghyun Jeong, Veronika Rocková

J. Mach. Learn. Res., 2023

2022

Approximate Bayesian Computation via Classification.

Yuexi Wang, Tetsuya Kaji, Veronika Rocková

J. Mach. Learn. Res., 2022

Adaptive Bayesian SLOPE: Model Selection With Incomplete Data.

Wei Jiang, Malgorzata Bogdan, Julie Josse, Szymon Majewski, Blazej Miasojedow, Veronika Rocková

J. Comput. Graph. Stat., 2022

2020

Comment: Regularization via Bayesian Penalty Mixing.

Edward I. George, Veronika Rocková

Technometrics, 2020

Variable Selection via Thompson Sampling.

Yi Liu, Veronika Rocková

CoRR, 2020

On Semi-parametric Inference for BART.

Veronika Rocková

Proceedings of the 37th International Conference on Machine Learning, 2020

Uncertainty Quantification for Sparse Deep Learning.

Yuexi Wang, Veronika Rocková

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

On Theory for BART.

Veronika Rocková, Enakshi Saha

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Posterior Concentration for Sparse Deep Learning.

Veronika Rocková, Nicholas Polson

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Bayesian Dyadic Trees and Histograms for Regression.

Stéphanie van der Pas, Veronika Rocková

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Determinantal Regularization for Ensemble Variable Selection.

Veronika Rocková, Gemma E. Moran, Edward I. George

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016