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Veronika Ročková

  1. Posterior Concentration for Sparse Deep Learning
    2018/03/24 by Nicholas G. Polson, Veronika Ročková, Polson, Nicholas +1 · 4 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)
  2. The art of BART: Minimax optimality over nonhomogeneous smoothness in high dimension
    2020/08/15 by Seonghyun Jeong, Jeong, Seonghyun, Veronika Ročková +1 · 3 citations
    Mathematics · Computer Science · #Statistical Methods and Inference #Machine Learning and Algorithms #Gaussian Processes and Bayesian Inference
  3. On Theory for BART
    2018/10/01 by Veronika Ročková, Rockova, Veronika, Enakshi Saha +1 · 2 citations
    Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. AI-Powered Bayesian Inference
    2025/02/26 by Sean O'Hagan, O'Hagan, Sean, Veronika Ročková +1 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Methodology (stat.ME)
  5. From Small to Large Language Models: Revisiting the Federalist Papers
    2025/02/25 by So Won Jeong, Veronika Ročková, Jeong, So Won +1 · 2 citations
    Social Sciences · #Judicial and Constitutional Studies #European and International Law Studies #American Constitutional Law and Politics
  6. Generative Bayesian Inference with GANs
    2022/08/25 by Yuexi Wang, Veronika Ročková, Wang, Yuexi +1 · 1 citation
    Computer Science · Physics and Astronomy · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Methodology (stat.ME) #Model Reduction and Neural Networks