Stefano Favaro

1. Quantitative CLTs in Deep Neural Networks
   2023/07/12 by Stefano Favaro, Favaro, Stefano, Boris Hanin +7 · 6 citations
   Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Probability (math.PR) #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
2. Bayesian Nonparametric Inference for "Species-sampling" Problems
   2022/03/11 by Cecilia Balocchi, Stefano Favaro, Balocchi, Cecilia +3 · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Census and Population Estimation #FOS: Mathematics #Statistical Methods and Bayesian Inference #Statistics Theory (math.ST)
3. Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
   2022/11/09 by Matteo Sesia, Sesia, Matteo, Stefano Favaro +3 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Algorithms and Data Compression #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Gene expression and cancer classification #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
4. Large deviation principles for the Ewens-Pitman sampling model
   2014/06/28 by Stefano Favaro, Shui Feng, Favaro, Stefano +1 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Mathematics #Probability (math.PR) #Statistical Methods and Inference #Stochastic processes and statistical mechanics
5. Infinitely deep neural networks as diffusion processes
   2019/05/27 by Stefano Peluchetti, Stefano Favaro, Peluchetti, Stefano +1 · 1 citation
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
6. Student-t processes as infinite-width limits of posterior Bayesian neural networks
   2025/02/06 by Francesco Caporali, Caporali, Francesco, Stefano Favaro +3 · 2 citations
   Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Probability (math.PR)