Ya’acov Ritov

1. A transfer learning framework for weak-to-strong generalization
   2024/05/25 by Seamus Somerstep, Somerstep, Seamus, Felipe Maia Polo +9 · 4 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
2. On conditional parity as a notion of non-discrimination in machine learning
   2017/06/26 by Ya’acov Ritov, Ritov, Ya'acov, Yuekai Sun +3 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computers and Society (cs.CY) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
3. Distributional Robustness and Transfer Learning Through Empirical Bayes
   2023/12/13 by Michael Law, Law, Michael, Peter Bühlmann +3 · 1 citation
   Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference