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Student-t Processes as Alternatives to Gaussian Processes

Student-t Processes as Alternatives to Gaussian Processes

18 February 2014
Amar Shah
A. Wilson
Zoubin Ghahramani
    GP
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Papers citing "Student-t Processes as Alternatives to Gaussian Processes"

30 / 80 papers shown
Title
Improved Calibration of Numerical Integration Error in Sigma-Point
  Filters
Improved Calibration of Numerical Integration Error in Sigma-Point Filters
Jakub Prüher
Toni Karvonen
Chris J. Oates
O. Straka
Simo Särkkä
19
8
0
28 Nov 2018
Harmonizable mixture kernels with variational Fourier features
Harmonizable mixture kernels with variational Fourier features
Zheyan Shen
Markus Heinonen
Samuel Kaski
33
17
0
10 Oct 2018
Meta-Learning Priors for Efficient Online Bayesian Regression
Meta-Learning Priors for Efficient Online Bayesian Regression
James Harrison
Apoorva Sharma
Marco Pavone
BDL
20
99
0
24 Jul 2018
Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy
  Level Set Estimation
Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation
Xiong Lyu
M. Binois
M. Ludkovski
6
24
0
18 Jul 2018
Variational Implicit Processes
Variational Implicit Processes
Chao Ma
Yingzhen Li
José Miguel Hernández-Lobato
BDL
24
68
0
06 Jun 2018
Gaussian Process Subset Scanning for Anomalous Pattern Detection in
  Non-iid Data
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
William Herlands
E. McFowland
A. Wilson
Daniel B. Neill
AI4TS
15
16
0
04 Apr 2018
Bayesian inference for a partially observed birth-death process using
  data on proportions
Bayesian inference for a partially observed birth-death process using data on proportions
R. Boys
H. Ainsworth
Colin S. Gillespie
6
1
0
12 Mar 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data
BRUNO: A Deep Recurrent Model for Exchangeable Data
I. Korshunova
Jonas Degrave
Ferenc Huszár
Y. Gal
Arthur Gretton
J. Dambre
BDL
24
33
0
21 Feb 2018
Upgrading from Gaussian Processes to Student's-T Processes
Upgrading from Gaussian Processes to Student's-T Processes
Brendan D. Tracey
David Wolpert
GP
22
39
0
18 Jan 2018
Practical Bayesian optimization in the presence of outliers
Practical Bayesian optimization in the presence of outliers
Ruben Martinez-Cantin
K. Tee
M. McCourt
14
54
0
12 Dec 2017
Robust Bayesian Optimization with Student-t Likelihood
Robust Bayesian Optimization with Student-t Likelihood
Ruben Martinez-Cantin
M. McCourt
K. Tee
18
6
0
18 Jul 2017
Distributionally Ambiguous Optimization Techniques for Batch Bayesian
  Optimization
Distributionally Ambiguous Optimization Techniques for Batch Bayesian Optimization
Nikitas Rontsis
Michael A. Osborne
Paul Goulart
13
4
0
13 Jul 2017
Dealing with Integer-valued Variables in Bayesian Optimization with
  Gaussian Processes
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes
E.C. Garrido-Merchán
Daniel Hernández-Lobato
59
227
0
12 Jun 2017
Identification of Gaussian Process State Space Models
Identification of Gaussian Process State Space Models
Stefanos Eleftheriadis
Tom Nicholson
M. Deisenroth
J. Hensman
32
111
0
30 May 2017
Expectation Propagation for t-Exponential Family Using Q-Algebra
Expectation Propagation for t-Exponential Family Using Q-Algebra
Futoshi Futami
Issei Sato
Masashi Sugiyama
18
6
0
25 May 2017
On the construction of probabilistic Newton-type algorithms
On the construction of probabilistic Newton-type algorithms
A. Wills
Thomas B. Schon
11
13
0
05 Apr 2017
Student-t Process Quadratures for Filtering of Non-Linear Systems with
  Heavy-Tailed Noise
Student-t Process Quadratures for Filtering of Non-Linear Systems with Heavy-Tailed Noise
Jakub Prüher
Filip Tronarp
Toni Karvonen
Simo Särkkä
O. Straka
18
19
0
15 Mar 2017
Online Learning for Distribution-Free Prediction
Online Learning for Distribution-Free Prediction
Dave Zachariah
Petre Stoica
Thomas B. Schon
26
8
0
15 Mar 2017
Multivariate Gaussian and Student$-t$ Process Regression for
  Multi-output Prediction
Multivariate Gaussian and Student−t-t−t Process Regression for Multi-output Prediction
Zexun Chen
Bo Wang
A. Gorban
13
93
0
13 Mar 2017
Hypervolume-based Multi-objective Bayesian Optimization with Student-t
  Processes
Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes
J. Herten
Ivo Couckuyt
T. Dhaene
GP
16
1
0
01 Dec 2016
Funneled Bayesian Optimization for Design, Tuning and Control of
  Autonomous Systems
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems
Ruben Martinez-Cantin
21
42
0
02 Oct 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization with
  Constraints
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints
Daniel Hernández-Lobato
Daniel Hernández-Lobato
20
113
0
05 Sep 2016
A flexible state space model for learning nonlinear dynamical systems
A flexible state space model for learning nonlinear dynamical systems
Andreas Svensson
Thomas B. Schon
30
104
0
17 Mar 2016
Parallel Predictive Entropy Search for Batch Global Optimization of
  Expensive Objective Functions
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
Amar Shah
Zoubin Ghahramani
35
159
0
23 Nov 2015
On the average uncertainty for systems with nonlinear coupling
On the average uncertainty for systems with nonlinear coupling
Kenric P. Nelson
S. Umarov
Mark A. Kon
19
18
0
15 Oct 2015
String and Membrane Gaussian Processes
String and Membrane Gaussian Processes
Yves-Laurent Kom Samo
Stephen J. Roberts
33
17
0
24 Jul 2015
Correlated Random Measures
Correlated Random Measures
Rajesh Ranganath
David M. Blei
24
21
0
02 Jul 2015
Local Nonstationarity for Efficient Bayesian Optimization
Local Nonstationarity for Efficient Bayesian Optimization
Ruben Martinez-Cantin
34
3
0
05 Jun 2015
Differentially Private Bayesian Optimization
Differentially Private Bayesian Optimization
Matt J. Kusner
Jacob R. Gardner
Roman Garnett
Kilian Q. Weinberger
32
52
0
16 Jan 2015
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based
  Statistical Models
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
Michael U. Gutmann
J. Corander
45
285
0
14 Jan 2015
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