firstbacksecondback
16 Results
|
Workshop
|
Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting Xinran Zhu · David Bindel · Jacob Gardner |
||
|
Affinity Workshop
|
Gaussian Process parameterized Covariance Kernels for Non-stationary Regression Vidhi Lalchand · Talay Cheema · Laurence Aitchison · Carl Edward Rasmussen |
||
|
Poster
|
Thu 14:00 |
On Kernelized Multi-Armed Bandits with Constraints Xingyu Zhou · Bo Ji |
|
|
Poster
|
Thu 14:00 |
Kernel Interpolation with Sparse Grids Mohit Yadav · Daniel Sheldon · Cameron Musco |
|
|
Poster
|
Wed 9:00 |
Sample-Then-Optimize Batch Neural Thompson Sampling Zhongxiang Dai · YAO SHU · Bryan Kian Hsiang Low · Patrick Jaillet |
|
|
Poster
|
Wed 14:00 |
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport Matthias Bitzer · Mona Meister · Christoph Zimmer |
|
|
Poster
|
Wed 14:00 |
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels Michael K. Cohen · Samuel Daulton · Michael A Osborne |
|
|
Poster
|
Tue 9:00 |
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits Ilija Bogunovic · Zihan Li · Andreas Krause · Jonathan Scarlett |
|
|
Poster
|
Tue 9:00 |
Fast Instrument Learning with Faster Rates Ziyu Wang · Yuhao Zhou · Jun Zhu |
|
|
Poster
|
Thu 9:00 |
Chefs' Random Tables: Non-Trigonometric Random Features Valerii Likhosherstov · Krzysztof M Choromanski · Kumar Avinava Dubey · Frederick Liu · Tamas Sarlos · Adrian Weller |
|
|
Poster
|
Tue 14:00 |
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi · Satoshi Hayakawa · Martin Jørgensen · Harald Oberhauser · Michael A Osborne |
|
|
Workshop
|
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Wenlin Chen · Austin Tripp · José Miguel Hernández-Lobato |