Dino Sejdinović

1. Fast Two-Sample Testing with Analytic Representations of Probability\n Measures
   2015/06/15 by Kacper Chwialkowski, Aaditya Ramdas, Chwialkowski, Kacper +5 · 10 citations
   Computer Science · Decision Sciences · Mathematics · #62G10 #Advanced Bandit Algorithms Research #Algorithms and Data Compression #FOS: Computer and information sciences #G.3 #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Statistical Methods and Inference
2. Survival Regression with Proper Scoring Rules and Monotonic Neural Networks
   2021/03/26 by David Rindt, Robert Hu, Rindt, David +5 · 6 citations
   Mathematics · #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
3. A Wild Bootstrap for Degenerate Kernel Tests
   2014/08/23 by Kacper Chwialkowski, Chwialkowski, Kacper, Dino Sejdinović +3 · 4 citations
   Computer Science · Economics, Econometrics and Finance · Mathematics · #62G10 #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Financial Risk and Volatility Modeling #Machine Learning (stat.ML) #Statistical Methods and Inference
4. Deconditional Downscaling with Gaussian Processes
   2021/05/27 by Siu Lun Chau, Chau, Siu Lun, Shahine Bouabid +3 · 5 citations
   Computer Science · Environmental Science · #Atmospheric and Environmental Gas Dynamics #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Remote Sensing in Agriculture
5. 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
6. Variational Learning on Aggregate Outputs with Gaussian Processes
   2018/05/22 by Ho Chung Leon Law, Law, Ho Chung Leon, Dino Sejdinović +11 · 3 citations
   Computer Science · #Applications (stat.AP) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME)
7. Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features
   2017/11/15 by Jean-François Ton, Ton, Jean-Francois, Seth Flaxman +5 · 2 citations
   Computer Science · Engineering · Environmental Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Remote Sensing in Agriculture #Remote-Sensing Image Classification
8. Bayesian Learning of Kernel Embeddings
   2016/03/07 by Seth Flaxman, Flaxman, Seth, Dino Sejdinović +5 · 3 citations
   Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models #Statistical Methods and Inference
9. BayesIMP: Uncertainty Quantification for Causal Data Fusion
   2021/06/07 by Siu Lun Chau, Chau, Siu Lun, Jean-François Ton +7 · 3 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
10. Learning Inconsistent Preferences with Gaussian Processes
    2020/06/06 by Siu Lun Chau, Chau, Siu Lun, Javier González +3 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
11. 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
12. FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation
    2023/07/14 by Shahine Bouabid, Bouabid, Shahine, Dino Sejdinović +3 · 3 citations
    Computer Science · Decision Sciences · #Applications (stat.AP) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Neural Networks and Applications #Simulation Techniques and Applications
13. Kernel Biclustering algorithm in Hilbert Spaces
    2022/08/07 by Marcos Matabuena, J. C Vidal, Matabuena, Marcos +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Gene expression and cancer classification #Machine Learning (stat.ML) #Metabolomics and Mass Spectrometry Studies #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
14. Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
    2024/02/14 by Russell Tsuchida, Tsuchida, Russell, Cheng Soon Ong +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
15. Hamiltonian Variational Auto-Encoder
    2018/05/29 by Anthony L. Caterini, Caterini, Anthony L., Arnaud Doucet +3 · 1 citation
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis