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Direct loss minimization algorithms for sparse Gaussian processes
v1v2v3 (latest)

Direct loss minimization algorithms for sparse Gaussian processes

7 April 2020
Yadi Wei
Rishit Sheth
Roni Khardon
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Title
Decision-aware training of spatiotemporal forecasting models to select a top K subset of sites for intervention
Kyle Heuton
F. Samuel Muench
Shikhar Shrestha
Thomas J. Stopka
Michael C. Hughes
OffRL
109
0
0
07 Mar 2025
Approximation-Aware Bayesian Optimization
Approximation-Aware Bayesian Optimization
Natalie Maus
Kyurae Kim
Geoff Pleiss
David Eriksson
John P. Cunningham
Jacob R. Gardner
60
3
0
06 Jun 2024
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
46
3
0
15 Nov 2022
Scalable Cross Validation Losses for Gaussian Process Models
Scalable Cross Validation Losses for Gaussian Process Models
M. Jankowiak
Geoff Pleiss
60
6
0
24 May 2021
Bayesian Anomaly Detection and Classification
Bayesian Anomaly Detection and Classification
E. Roberts
Bruce A. Bassett
Michelle Lochner
45
11
0
22 Feb 2019
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