Rockova, Veronika

1. Posterior Concentration for Bayesian Regression Trees and Forests
   2017/08/29 by Rockova, Veronika, van der Pas, Stephanie · 4 citations
   #FOS: Mathematics #Statistics Theory (math.ST)
2. Posterior Concentration for Sparse Deep Learning
   2018/03/24 by Nicholas G. Polson, Veronika Ročková, Polson, Nicholas +1 · 5 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Dynamic Variable Selection with Spike-and-Slab Process Priors
   2017/07/31 by Rockova, Veronika, McAlinn, Kenichiro · 3 citations
   #FOS: Computer and information sciences #Methodology (stat.ME)
4. On Theory for BART
   2018/10/01 by Veronika Ročková, Enakshi Saha, Rockova, Veronika +1 · 3 citations
   Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. The art of BART: Minimax optimality over nonhomogeneous smoothness in high dimension
   2020/08/15 by Seonghyun Jeong, Veronika Ročková, Jeong, Seonghyun +1 · 3 citations
   Mathematics · Computer Science · #Statistical Methods and Inference #Machine Learning and Algorithms #Gaussian Processes and Bayesian Inference
6. Deep Bootstrap for Bayesian Inference
   2022/05/30 by Nie, Lizhen, Rockova, Veronika · 2 citations
   #Computation (stat.CO) #FOS: Computer and information sciences
7. The Median Probability Model and Correlated Variables
   2018/07/22 by Barbieri, Marilena, Berger, James O., George, Edward I. +1 · 1 citation
   #FOS: Mathematics #Statistics Theory (math.ST)
8. Uncertainty Quantification for Bayesian CART
   2019/10/16 by Castillo, Ismael, Rockova, Veronika · 1 citation
   #FOS: Mathematics #Statistics Theory (math.ST)
9. Variable Selection via Thompson Sampling
   2020/07/01 by Liu, Yi, Rockova, Veronika · 1 citation
   #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
10. Metropolis-Hastings via Classification
    2021/03/06 by Kaji, Tetsuya, Rockova, Veronika · 1 citation
    #FOS: Mathematics #Statistics Theory (math.ST)
11. Adaptive Uncertainty Quantification for Generative AI
    2024/08/16 by Jungeum Kim, Kim, Jungeum, Sean O'Hagan +3 · 1 citation
    Decision Sciences · Computer Science · #Simulation Techniques and Applications #AI-based Problem Solving and Planning #Probabilistic and Robust Engineering Design