|
Workshop
|
|
Expert Selection in Distributed Gaussian Processes: A Multi-label Classification Approach
Hamed Jalali · Gjergji Kasneci
|
|
|
Workshop
|
|
Deep Mahalanobis Gaussian Process
Daniel Augusto de Souza · Diego Mesquita · César Lincoln Mattos · João Paulo Gomes
|
|
|
Workshop
|
|
Imputation and forecasting for Multi-Output Gaussian Process in Smart Grid
JIANGJIAO XU · Ke Li
|
|
|
Workshop
|
|
Statistical Downscaling of Sea Surface Temperature Projections with a Multivariate Gaussian Process Model
Ayesha Ekanayaka · Emily Kang · Peter Kalmus · Amy Braverman
|
|
|
Workshop
|
|
Identifying latent distances with Finslerian geometry
Alison Pouplin · David Eklund · Carl Henrik Ek · Søren Hauberg
|
|
|
Poster
|
Wed 14:00
|
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Wuyang Chen · Wei Huang · Xinyu Gong · Boris Hanin · Zhangyang Wang
|
|
|
Workshop
|
|
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Andreas Besginow · Markus Lange-Hegermann
|
|
|
Workshop
|
|
Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes
So Takao · Sean Nassimiha · Peter Dudfield · Jack Kelly · Marc Deisenroth
|
|
|
Poster
|
Wed 14:00
|
Learning interacting dynamical systems with latent Gaussian process ODEs
Çağatay Yıldız · Melih Kandemir · Barbara Rakitsch
|
|
|
Poster
|
Wed 14:00
|
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport
Matthias Bitzer · Mona Meister · Christoph Zimmer
|
|
|
Poster
|
Tue 9:00
|
Triangulation candidates for Bayesian optimization
Robert Gramacy · Annie Sauer · Nathan Wycoff
|
|
|
Workshop
|
|
HyperBO+: Pre-training a universal hierarchical Gaussian process prior for Bayesian optimization
Zhou Fan · Xinran Han · Zi Wang
|
|
