Veronika Ročková
10 papers · 2016–2026 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16)
🏆
Keyword Champion
(3)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(8)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Deep Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Keywords
posterior distribution
(3)
bayesian inference
(3)
posterior concentration
(3)
bayesian additive regression tree
(3)
nonparametric regression
(2)
likelihood-free inference
(2)
uncertainty quantification
(2)
approximate bayesian computation
(2)
posterior sampling
(2)
bernstein-von mises theorem
(2)
bayesian forest
(2)
kullback-leibler divergence
(1)
quantile regression
(1)
ensemble learning
(1)
model uncertainty
(1)
deep learning
(1)
sparse learning
(1)
determinantal point process
(1)
minimax rate
(1)
bayesian variable selection
(1)
Papers
Generative Bayesian Inference with GANs
JMLR 2026
Deep Generative Quantile Bayes
AISTATS 2025
The Art of BART: Minimax Optimality over Nonhomogeneous Smoothness in High Dimension
JMLR 2023
Approximate Bayesian Computation via Classification
JMLR 2022
On Semi-parametric Inference for BART
ICML 2020
Uncertainty Quantification for Sparse Deep Learning
AISTATS 2020
On Theory for BART
AISTATS 2019
Posterior Concentration for Sparse Deep Learning
NeurIPS 2018
Bayesian Dyadic Trees and Histograms for Regression
NeurIPS 2017
Determinantal Regularization for Ensemble Variable Selection
AISTATS 2016