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Type
Journal article
Conference paper
Date
2024
2023
2022
Veit Wild
,
Sahra Ghalebikesabi
,
Dino Sejdinovic
,
Jeremias Knoblauch
(2024).
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
. In
NeurIPS
.
Cite
arXiv
Zhuo Sun
,
Alessandro Barp
,
François-Xavier Briol
(2023).
Vector-Valued Control Variates
. In
ICML
.
PDF
Cite
Code
Miheer Dewaskar
,
Chris Tosh
,
Jeremias Knoblauch
,
David Dunson
(2023).
Robustifying likelihoods by optimistically re-weighting data
. In
arXiv
.
Cite
arXiv
Matias Altamirano
,
François-Xavier Briol
,
Jeremias Knoblauch
(2023).
Robust and Conjugate Gaussian Process Regression
. In
arXiv
.
Cite
Code
arXiv
Jean Kaddour
,
Oscar Key
,
Piotr Nawrot
,
Pasquale Minervini
,
Matt J. Kusner
(2023).
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
. In
NeurIPS
.
Cite
Code
arXiv
Kaiyu Li
,
Daniel Giles
,
Toni Karvonen
,
Serge Guillas
,
François-Xavier Briol
(2023).
Multilevel Bayesian Quadrature
. In
AISTATS
.
PDF
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Code
Zhuo Sun
,
Chris J Oates
,
François-Xavier Briol
(2023).
Meta-learning Control Variates: Variance Reduction with Limited Data
. In
UAI
.
PDF
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Code
Masha Naslidnyk
,
Motonobu Kanagawa
,
Toni Karvonen
,
Maren Mahsereci
(2023).
Comparing Scale Parameter Estimators for Gaussian Process Regression: Cross Validation and Maximum Likelihood
. In
arXiv
.
Cite
arXiv
Matias Altamirano
,
François-Xavier Briol
,
Jeremias Knoblauch
(2023).
Robust and Scalable Bayesian Online Changepoint Detection
. In
ICML
.
Cite
Code
arXiv
Ayush Bharti
,
Masha Naslidnyk
,
Oscar Key
,
Samuel Kaski
,
François-Xavier Briol
(2023).
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
. In
ICML
.
Cite
Code
arXiv
Takuo Matsubara
,
Jeremias Knoblauch
,
François-Xavier Briol
,
Chris Oates
(2023).
Robust Generalised Bayesian Inference for Intractable Likelihoods
. In
JRSS
.
Cite
Code
arXiv
Takuo Matsubara
,
Jeremias Knoblauch
,
François-Xavier Briol
,
Chris Oates
(2023).
Generalized Bayesian Inference for Discrete Intractable Likelihood
. In
JASA
.
Cite
arXiv
Aidan N. Gomez
,
Oscar Key
,
Kuba Perlin
,
Stephen Gou
,
Nick Frosst
,
Jeff Dean
,
Yarin Gal
(2022).
Interlocking Backpropagation: Improving depthwise model-parallelism
. In
JMLR
.
Cite
Code
arXiv
Harita Dellaporta
,
Jeremias Knoblauch
,
Theo Damoulas
,
François-Xavier Briol
(2022).
Robust Bayesian inference for simulator-based models via the MMD posterior bootstrap
. In
AISTATS
.
Cite
Code
arXiv
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