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Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with
  $β$-Divergences

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with βββ-Divergences

6 June 2018
Jeremias Knoblauch
Jack Jewson
Theodoros Damoulas
ArXivPDFHTML

Papers citing "Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $β$-Divergences"

15 / 15 papers shown
Title
Robust and Conjugate Gaussian Process Regression
Robust and Conjugate Gaussian Process Regression
Matias Altamirano
F. Briol
Jeremias Knoblauch
28
10
0
01 Nov 2023
Open problems in causal structure learning: A case study of COVID-19 in
  the UK
Open problems in causal structure learning: A case study of COVID-19 in the UK
Anthony C. Constantinou
N. K. Kitson
Yang Liu
Kiattikun Chobtham
Arian Hashemzadeh
Praharsh Nanavati
R. Mbuvha
Bruno Petrungaro
CML
32
9
0
05 May 2023
Robust and Scalable Bayesian Online Changepoint Detection
Robust and Scalable Bayesian Online Changepoint Detection
Matias Altamirano
F. Briol
Jeremias Knoblauch
33
12
0
09 Feb 2023
Data Segmentation for Time Series Based on a General Moving Sum Approach
Data Segmentation for Time Series Based on a General Moving Sum Approach
Claudia Kirch
Kerstin Reckruehm
AI4TS
27
12
0
15 Jul 2022
WATCH: Wasserstein Change Point Detection for High-Dimensional Time
  Series Data
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data
Kamil Faber
Roberto Corizzo
B. Sniezynski
Michael Baron
Nathalie Japkowicz
AI4TS
31
22
0
18 Jan 2022
Adaptation of the Tuning Parameter in General Bayesian Inference with
  Robust Divergence
Adaptation of the Tuning Parameter in General Bayesian Inference with Robust Divergence
S. Yonekura
S. Sugasawa
27
23
0
13 Jun 2021
Adversarially robust change point detection
Adversarially robust change point detection
Mengchu Li
Yi Yu
AAML
27
10
0
21 May 2021
Active multi-fidelity Bayesian online changepoint detection
Active multi-fidelity Bayesian online changepoint detection
Gregory W. Gundersen
Diana Cai
Chuteng Zhou
Barbara E. Engelhardt
Ryan P. Adams
22
10
0
26 Mar 2021
Detecting and Adapting to Irregular Distribution Shifts in Bayesian
  Online Learning
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
Aodong Li
Alex Boyd
Padhraic Smyth
Stephan Mandt
15
21
0
15 Dec 2020
Generalized Posteriors in Approximate Bayesian Computation
Generalized Posteriors in Approximate Bayesian Computation
Sebastian M. Schmon
Patrick W Cannon
Jeremias Knoblauch
22
24
0
17 Nov 2020
Foundations of Bayesian Learning from Synthetic Data
Foundations of Bayesian Learning from Synthetic Data
H. Wilde
Jack Jewson
Sebastian J. Vollmer
Chris Holmes
19
15
0
16 Nov 2020
Robust Bayesian Inference for Discrete Outcomes with the Total Variation
  Distance
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance
Jeremias Knoblauch
Lara Vomfell
28
7
0
26 Oct 2020
Change Point Detection in Time Series Data using Autoencoders with a
  Time-Invariant Representation
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation
Tim De Ryck
M. D. Vos
Alexander Bertrand
21
55
0
21 Aug 2020
Generalized Bayesian Filtering via Sequential Monte Carlo
Generalized Bayesian Filtering via Sequential Monte Carlo
Ayman Boustati
Ömer Deniz Akyildiz
Theodoros Damoulas
A. M. Johansen
30
4
0
23 Feb 2020
Variational Inference via $χ$-Upper Bound Minimization
Variational Inference via χχχ-Upper Bound Minimization
Adji Bousso Dieng
Dustin Tran
Rajesh Ranganath
John Paisley
David M. Blei
BDL
83
36
0
01 Nov 2016
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