Krikamol Muandet

1. Domain Generalization via Invariant Feature Representation
   2013/01/10 by Krikamol Muandet, Muandet, Krikamol, David Balduzzi +2 · 64 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Domain Adaptation and Few-Shot Learning #Cancer-related molecular mechanisms research #Machine Learning and ELM
2. Grasping Field: Learning Implicit Representations for Human Grasps
   2020/08/10 by Korrawe Karunratanakul, Jinlong Yang, Karunratanakul, Korrawe +8 · 13 citations
   Engineering · Computer Science · #Robot Manipulation and Learning #Human Motion and Animation #Human Pose and Action Recognition
3. Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces
   2019/08/21 by Stefan Klus, Ingmar Schuster, Krikamol Muandet · 6 citations
4. Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment\n Restriction
   2021/05/10 by Afsaneh Mastouri, Yuchen Zhu, Mastouri, Afsaneh +13 · 8 citations
   Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference
5. AutoML Two-Sample Test
   2022/06/17 by Jonas M. Kübler, Kübler, Jonas M., Vincent Stimper +7 · 4 citations
   Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
6. Counterfactual Mean Embeddings
   2018/05/22 by Krikamol Muandet, Muandet, Krikamol, Motonobu Kanagawa +5 · 3 citations
   Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
7. Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
   2023/05/24 by Siu Lun Chau, Chau, Siu Lun, Krikamol Muandet +3 · 5 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Gaussian Processes and Bayesian Inference #Bayesian Modeling and Causal Inference
8. Kernel Mean Shrinkage Estimators
   2014/05/21 by Krikamol Muandet, Bharath K. Sriperumbudur, Muandet, Krikamol +7 · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Inference #Gaussian Processes and Bayesian Inference
9. Minimax Estimation of Kernel Mean Embeddings
   2016/02/13 by Ilya Tolstikhin, Tolstikhin, Ilya, Bharath K. Sriperumbudur +3 · 2 citations
   Mathematics · #Statistical Methods and Inference #Statistical Methods and Bayesian Inference #Statistical Distribution Estimation and Applications
10. Learning from Distributions via Support Measure Machines
    2012/02/29 by Krikamol Muandet, Muandet, Krikamol, Kenji Fukumizu +5 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. Privacy-Preserving Causal Inference via Inverse Probability Weighting
    2019/05/29 by Si Kai Lee, Lee, Si Kai, Luigi Gresele +5 · 2 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
12. Learning Kernel Tests Without Data Splitting
    2020/06/03 by Jonas M. Kübler, Kübler, Jonas M., Wittawat Jitkrittum +5 · 2 citations
    Computer Science · Mathematics · 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 #Statistical Methods and Inference
13. A Measure-Theoretic Axiomatisation of Causality
    2023/05/19 by Junhyung Park, Simon Buchholz, Park, Junhyung +5 · 3 citations
    Arts and Humanities · Computer Science · Physics and Astronomy · #Philosophy and History of Science #Computability, Logic, AI Algorithms #Statistical Mechanics and Entropy
14. Credal Two-Sample Tests of Epistemic Uncertainty
    2024/10/16 by Siu Lun Chau, Chau, Siu Lun, Antonin Schrab +8 · 2 voices · 3 citations
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Advanced Causal Inference Techniques #Adversarial Robustness in Machine Learning
15. Towards a Learning Theory of Cause-Effect Inference
    2015/02/09 by David López-Paz, Lopez-Paz, David, Krikamol Muandet +5 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms #Blind Source Separation Techniques
16. Integral Imprecise Probability Metrics
    2025/05/22 by Siu Lun Chau, Michele Caprio, Chau, Siu Lun +3 · 4 citations
    Computer Science · #Bayesian Modeling and Causal Inference
17. (Im)possibility of Collective Intelligence
    2022/06/05 by Krikamol Muandet, Muandet, Krikamol · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Theoretical Economics (econ.TH)