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Direct loss minimization algorithms for sparse Gaussian processes

Direct loss minimization algorithms for sparse Gaussian processes

7 April 2020
Yadi Wei
Rishit Sheth
Roni Khardon
ArXivPDFHTML

Papers citing "Direct loss minimization algorithms for sparse Gaussian processes"

6 / 6 papers shown
Title
Stability-based Generalization Bounds for Variational Inference
Stability-based Generalization Bounds for Variational Inference
Yadi Wei
Roni Khardon
BDL
54
0
0
17 Feb 2025
On the Performance of Direct Loss Minimization for Bayesian Neural
  Networks
On the Performance of Direct Loss Minimization for Bayesian Neural Networks
Yadi Wei
Roni Khardon
BDL
19
3
0
15 Nov 2022
Loss-calibrated expectation propagation for approximate Bayesian
  decision-making
Loss-calibrated expectation propagation for approximate Bayesian decision-making
Michael J. Morais
Jonathan W. Pillow
49
6
0
10 Jan 2022
Scalable Cross Validation Losses for Gaussian Process Models
Scalable Cross Validation Losses for Gaussian Process Models
M. Jankowiak
Geoff Pleiss
31
6
0
24 May 2021
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy
Badr-Eddine Chérief-Abdellatif
Pierre Alquier
58
72
0
29 Sep 2019
Bayesian Anomaly Detection and Classification
Bayesian Anomaly Detection and Classification
E. Roberts
Bruce A. Bassett
Michelle Lochner
25
11
0
22 Feb 2019
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