Alert button
Picture for Dino Sejdinovic

Dino Sejdinovic

Alert button

Meta Learning for Causal Direction

Jul 06, 2020
Jean-Francois Ton, Dino Sejdinovic, Kenji Fukumizu

Figure 1 for Meta Learning for Causal Direction
Figure 2 for Meta Learning for Causal Direction
Figure 3 for Meta Learning for Causal Direction
Figure 4 for Meta Learning for Causal Direction
Viaarxiv icon

A Perspective on Gaussian Processes for Earth Observation

Jul 02, 2020
Gustau Camps-Valls, Dino Sejdinovic, Jakob Runge, Markus Reichstein

Figure 1 for A Perspective on Gaussian Processes for Earth Observation
Viaarxiv icon

Learning Inconsistent Preferences with Kernel Methods

Jun 06, 2020
Siu Lun Chau, Javier González, Dino Sejdinovic

Figure 1 for Learning Inconsistent Preferences with Kernel Methods
Figure 2 for Learning Inconsistent Preferences with Kernel Methods
Figure 3 for Learning Inconsistent Preferences with Kernel Methods
Figure 4 for Learning Inconsistent Preferences with Kernel Methods
Viaarxiv icon

Spectral Ranking with Covariates

May 13, 2020
Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic

Figure 1 for Spectral Ranking with Covariates
Figure 2 for Spectral Ranking with Covariates
Figure 3 for Spectral Ranking with Covariates
Figure 4 for Spectral Ranking with Covariates
Viaarxiv icon

Large Scale Tensor Regression using Kernels and Variational Inference

Feb 11, 2020
Robert Hu, Geoff K. Nicholls, Dino Sejdinovic

Figure 1 for Large Scale Tensor Regression using Kernels and Variational Inference
Figure 2 for Large Scale Tensor Regression using Kernels and Variational Inference
Figure 3 for Large Scale Tensor Regression using Kernels and Variational Inference
Figure 4 for Large Scale Tensor Regression using Kernels and Variational Inference
Viaarxiv icon

A kernel log-rank test of independence for right-censored data

Dec 08, 2019
Tamara Fernandez, Arthur Gretton, David Rindt, Dino Sejdinovic

Figure 1 for A kernel log-rank test of independence for right-censored data
Figure 2 for A kernel log-rank test of independence for right-censored data
Figure 3 for A kernel log-rank test of independence for right-censored data
Figure 4 for A kernel log-rank test of independence for right-censored data
Viaarxiv icon

Detecting anthropogenic cloud perturbations with deep learning

Nov 29, 2019
Duncan Watson-Parris, Samuel Sutherland, Matthew Christensen, Anthony Caterini, Dino Sejdinovic, Philip Stier

Figure 1 for Detecting anthropogenic cloud perturbations with deep learning
Figure 2 for Detecting anthropogenic cloud perturbations with deep learning
Figure 3 for Detecting anthropogenic cloud perturbations with deep learning
Viaarxiv icon

Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness

Nov 11, 2019
Zhu Li, Adrian Perez-Suay, Gustau Camps-Valls, Dino Sejdinovic

Figure 1 for Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness
Figure 2 for Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness
Figure 3 for Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness
Figure 4 for Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness
Viaarxiv icon

Nonparametric Independence Testing for Right-Censored Data using Optimal Transport

Jun 10, 2019
David Rindt, Dino Sejdinovic, David Steinsaltz

Figure 1 for Nonparametric Independence Testing for Right-Censored Data using Optimal Transport
Figure 2 for Nonparametric Independence Testing for Right-Censored Data using Optimal Transport
Figure 3 for Nonparametric Independence Testing for Right-Censored Data using Optimal Transport
Figure 4 for Nonparametric Independence Testing for Right-Censored Data using Optimal Transport
Viaarxiv icon