Search results - ORA - Oxford University Research Archive

1 - 26 of 26

1

Journal article

Benign overfitting and noisy features

Li, Z, Su, W, Sejdinovic, D
2022-06-27

2

Thesis

Geometry and representation learning in deep generative models

Mathieu, E
2021

3

Conference item

Survival regression with proper scoring rules and monotonic neural networks

Rindt, D, Hu, R, Steinsaltz, D, et al.
2022-05-03

4

Journal article

Learning inconsistent preferences with Gaussian processes

Chau, SL, González, J, Sejdinovic, D
2022-05-03

5

Journal article

Bayesian kernel two-sample testing

Zhang, Q, Wild, V, Filippi, S, et al.
2022-06-29

6

Journal article

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

Fernández, T, Gretton, A, Rindt, D, et al.
2021-09-13

7

Journal article

Large scale tensor regression using kernels and variational inference

Hu, R, Nicholls, GK, Sejdinovic, D
2021-11-09

8

Journal article

Towards a unified analysis of random Fourier features

Li, Z, Ton, J-F, Oglic, D, et al.
2021-05-31

9

Journal article

Consistency of permutation test s of independence usingdistance covariance, HSIC and dHSIC

Rindt, D, Sejdinovic, D, Steinsaltz, D
2021-03-07

10

Conference item

Meta learning for causal direction

Ton, J-F, Sejdinovic, D, Fukumizu, K
2021-05-18

11

Journal article

Noise contrastive meta-learning for conditional density estimation using kernel mean embeddings

Ton, J-F, Chan, L, Teh, YW, et al.
2021-03-18

12

Journal article

A kernel- and optimal transport- based test of independence between covariates and right-censored lifetimes

Rindt, D, Sejdinovic, D, Steinsaltz, D
2020-12-02

13

Journal article

Discussion of "Functional models for time-varying random objects'' by Dubey and Müller

Sejdinovic, D
2020-02-24

14

Conference item

Inter-domain deep Gaussian processes

Rudner, TGJ, Sejdinovic, D, Gal, Y
2020-11-21

15

Conference item

Hyperparameter learning via distributional transfer

Law, HCL, Zhao, P, Chan, L, et al.
2019-12-14

16

Journal article

Detecting causal associations in large nonlinear time series datasets

Runge, J, Nowack, P, Kretschmer, M, et al.
2019-11-27

17

Journal article

Rejoinder: probabilistic integration: a role in statistical computation?

Briol, F, Oates, C, Girolami, M, et al.
2019-04-12

18

Conference item

A differentially private kernel two-sample test

Raj, A, Law, HCL, Sejdinovic, D, et al.
2020-04-30

19

Journal article

A method for genome-wide genealogy estimation for thousands of samples

Speidel, L, Forest, M, Shi, S, et al.
2019-09-02

20

Conference item

Towards a unified analysis of random fourier features

Li, Z, Ton, J, Oglic, D, et al.
2019-06-13

21

Journal article

A perspective on Gaussian processes for Earth observation

Camps-Valls, G, Sejdinovic, D, Runge, J, et al.
2019-03-04

22

Conference item

Causal inference via Kernel deviance measures

Mitrovic, J, Sejdinovic, D, Teh, Y
2018-12-31

23

Journal article

Hamiltonian Variational Auto-Encoder

Caterini, A, Doucet, A, Sejdinovic, D
2019-01-01

24

Journal article

Topological data analysis of continuum percolation with disks

Speidel, L, Harrington, H, chapman, J, et al.
2018-07-31

25

Journal article

The genetic architecture of type 2 diabetes.

Fuchsberger, C, Flannick, J, Teslovich, TM, et al.
2016-07-01

26

Thesis

Bayesian methods for multivariate phenotype analysis in genome-wide association studies

Iotchkova, V
2013

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