Motonobu Kanagawa

1. Large sample analysis of the median heuristic
   2017/07/23 by Garreau Damien, Wittawat Jitkrittum, Garreau, Damien +3 · 9 citations
   Medicine · Engineering · Mathematics · #Liver Disease Diagnosis and Treatment #Optimization and Mathematical Programming #Advanced Statistical Methods and Models
2. Counterfactual Mean Embeddings
   2018/05/22 by Krikamol Muandet, Motonobu Kanagawa, Muandet, Krikamol +5 · 4 citations
   Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
3. Convergence Guarantees for Adaptive Bayesian Quadrature Methods
   2019/05/24 by Motonobu Kanagawa, Philipp Hennig, Kanagawa, Motonobu +1 · 3 citations
   Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Statistical and numerical algorithms
4. Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings
   2017/09/01 by Motonobu Kanagawa, Bharath K. Sriperumbudur, Kanagawa, Motonobu +3 · 2 citations
   Decision Sciences · Engineering · Mathematics · #46E22 (Secondary) #46E35 #65D05 #65D30 (Primary) #65D32 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Mathematical Approximation and Integration #Nuclear reactor physics and engineering #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design
5. Model-based Kernel Sum Rule: Kernel Bayesian Inference with Probabilistic Models
   2014/09/18 by Yu Nishiyama, Nishiyama, Yu, Motonobu Kanagawa +5 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME)
6. Fast Computation of Leave-One-Out Cross-Validation for k-NN Regression
   2024/05/08 by Motonobu Kanagawa, Kanagawa, Motonobu · 2 voices · 2 citations
   #stat.ML #cs.DS #cs.LG #stat.CO #stat.ME
7. Gaussian Processes and Reproducing Kernels: Connections and Equivalences
   2025/06/20 by Motonobu Kanagawa, Philipp Hennig, Kanagawa, Motonobu +5 · 3 voices · 4 citations
   #stat.ML #cs.LG #math.NA #math.PR #math.ST
8. kNNSampler: Stochastic Imputations for Recovering Missing Value Distributions
   2025/09/10 by Parastoo Pashmchi, J Benoit, Pashmchi, Parastoo +3 · 2 voices
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistics Theory (math.ST) #Survey Sampling and Estimation Techniques
9. When is Importance Weighting Correction Needed for Covariate Shift Adaptation?
   2023/03/07 by Davit Gogolashvili, Matteo Zecchin, Gogolashvili, Davit +7 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Genetic and phenotypic traits in livestock #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference