Wynne, George

1. A Kernel Two-Sample Test for Functional Data
   2020/08/25 by George Wynne, Wynne, George, A. Duncan +1 · 7 citations
   Computer Science · Mathematics · Engineering · #Gaussian Processes and Bayesian Inference #Statistical Methods and Inference #Control Systems and Identification
2. Convergence Guarantees for Gaussian Process Means With Misspecified\n Likelihoods and Smoothness
   2020/01/29 by George Wynne, Wynne, George, François‐Xavier Briol +3 · 6 citations
   Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Statistical Methods and Inference #Statistics Theory (math.ST)
3. Maximum likelihood estimation and uncertainty quantification for\n Gaussian process approximation of deterministic functions
   2020/01/29 by Toni Karvonen, Karvonen, Toni, George Wynne +7 · 2 citations
   Computer Science · Decision Sciences · Mathematics · #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design #Statistical Methods and Inference
4. Statistical Depth Meets Machine Learning: Kernel Mean Embeddings and Depth in Functional Data Analysis
   2021/05/26 by George Wynne, Wynne, George, Stanislav Nagy +1 · 1 citation
   Mathematics · #Advanced Statistical Methods and Models #Statistical Methods and Inference #Statistical and numerical algorithms
5. Grassmann Stein Variational Gradient Descent
   2022/02/07 by Xing Liu, Liu, Xing, Hong Zhu +7 · 1 citation
   Computer Science · Mathematics · Physics and Astronomy · #62F15 (Bayesian inference) #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Mechanics and Entropy