Thobaben, Ragnar

1. More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity
   2023/06/21 by Borja Rodríguez-Gálvez, Ragnar Thobaben, Rodríguez-Gálvez, Borja +3 · 6 citations
   Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
2. Tighter expected generalization error bounds via Wasserstein distance
   2021/01/22 by Borja Rodríguez-Gálvez, Germán Bassi, Rodríguez-Gálvez, Borja +5 · 3 citations
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
3. A Variational Approach to Privacy and Fairness
   2020/06/11 by Rodríguez-Gálvez, Borja, Thobaben, Ragnar, Skoglund, Mikael · 3 citations
   #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
   2022/12/27 by Haghifam, Mahdi, Rodríguez-Gálvez, Borja, Thobaben, Ragnar +3 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. An Information-Theoretic Approach to Generalization Theory
   2024/08/20 by Borja Rodríguez-Gálvez, Ragnar Thobaben, Rodríguez-Gálvez, Borja +3 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications