|
Workshop
|
|
Residual Deep Gaussian Processes on Manifolds for Geometry-aware Bayesian Optimization on Hyperspheres
Kacper Wyrwal · Slava Borovitskiy
|
|
|
Poster
|
Tue 15:15
|
The Behavior and Convergence of Local Bayesian Optimization
Kaiwen Wu · Kyurae Kim · Roman Garnett · Jacob Gardner
|
|
|
Workshop
|
|
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
Elan Rosenfeld · Andrej Risteski
|
|
|
Poster
|
Wed 8:45
|
“Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization
Shuang Li · Ke Li · Wei Li
|
|
|
Workshop
|
|
Large-scale Pretraining Improves Sample Efficiency of Active Learning based Molecule Virtual Screening
Zhonglin Cao · Simone Sciabola · Ye Wang
|
|
|
Workshop
|
|
Rethinking Bayesian Optimization with Gaussian Processes: Insights from Hyperspectral Trait Search
Ruhana Azam · Sanmi Koyejo · Samuel Fernandes · Mohammed Kebir · Andrew Leakey · Alexander Lipka
|
|
|
Workshop
|
|
Graph Neural Bayesian Optimization for Virtual Screening
Miles Wang-Henderson · Bartu Soyuer · Parnian Kassraie · Andreas Krause · Ilija Bogunovic
|
|
|
Poster
|
Wed 15:00
|
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
Leonard Papenmeier · Luigi Nardi · Matthias Poloczek
|
|
|
Poster
|
Tue 15:15
|
Unexpected Improvements to Expected Improvement for Bayesian Optimization
Sebastian Ament · Samuel Daulton · David Eriksson · Maximilian Balandat · Eytan Bakshy
|
|
|
Workshop
|
|
Graph Neural Bayesian Optimization for Virtual Screening
Miles Wang-Henderson · Bartu Soyuer · Parnian Kassraie · Andreas Krause · Ilija Bogunovic
|
|
|
Workshop
|
|
Integrating Protein Structure Prediction and Bayesian Optimization for Peptide Design
Negin Manshour · Fei He · Duolin Wang · Dong Xu
|
|
|
Poster
|
Tue 8:45
|
Advancing Bayesian Optimization via Learning Correlated Latent Space
Seunghun Lee · Jaewon Chu · Sihyeon Kim · Juyeon Ko · Hyunwoo Kim
|
|
