Co-occurring keywords · papers mentioning both
Papers
Probabilistic robust linear quadratic regulators with Gaussian processes
L4DC 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors
AAAI 2021
Regret Bounds for Gaussian-Process Optimization in Large Domains
NeurIPS 2021
Relative Positional Encoding for Transformers with Linear Complexity
ICML 2021
Risk-averse Heteroscedastic Bayesian Optimization
NeurIPS 2021
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
NeurIPS 2021
Scalable Gaussian Process Variational Autoencoders
AISTATS 2021
Scalable gradient matching based on state space Gaussian Processes
ACML 2021
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract)
AAAI 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models
NeurIPS 2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
ICML 2021
Scaling Gaussian Processes with Derivative Information Using Variational Inference
NeurIPS 2021
Self-Adaptable Point Processes with Nonparametric Time Decays
NeurIPS 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
ICML 2021
Significance of Gradient Information in Bayesian Optimization
AISTATS 2021
Similarity measure for sparse time course data based on Gaussian processes
UAI 2021
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
ICML 2021
Sparse Algorithms for Markovian Gaussian Processes
AISTATS 2021
Sparse within Sparse Gaussian Processes using Neighbor Information
ICML 2021
Spatio-Temporal Variational Gaussian Processes
NeurIPS 2021
Structure-Aware Random Fourier Kernel for Graphs
NeurIPS 2021
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization
NeurIPS 2021
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
ICML 2021
The Impact of Data on the Stability of Learning-Based Control
L4DC 2021
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
AISTATS 2021