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Affinity Workshop
Preference-Aware Constrained Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi · Syrine Belakaria · Janardhan Rao Doppa
Workshop
Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only
Samuel Müller · Sebastian Pineda Arango · Matthias Feurer · Josif Grabocka · Frank Hutter
Poster
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song · Ke Xue · Xiaobin Huang · Chao Qian
Workshop
Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors
Tom Savage · Nausheen Basha · Omar Matar · Antonio del Rio Chanona
Workshop
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis
Carolin Benjamins · Anja Jankovic · Elena Raponi · Koen van der Blom · Marius Lindauer · Carola Doerr
Poster
Pareto Set Learning for Expensive Multi-Objective Optimization
Xi Lin · Zhiyuan Yang · Xiaoyuan Zhang · Qingfu Zhang
Poster
Tue 14:00 On the inability of Gaussian process regression to optimally learn compositional functions
Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber
Workshop
PI is back! Switching Acquisition Functions in Bayesian Optimization
Carolin Benjamins · Elena Raponi · Anja Jankovic · Koen van der Blom · Maria Laura Santoni · Marius Lindauer · Carola Doerr
Workshop
Fri 9:00 MolPAL: Software for Sample Efficient High-Throughput Virtual Screening
David Graff · Connor Coley
Poster
Tue 14:00 SnAKe: Bayesian Optimization with Pathwise Exploration
Jose Pablo Folch · Shiqiang Zhang · Robert Lee · Behrang Shafei · David Walz · Calvin Tsay · Mark van der Wilk · Ruth Misener
Workshop
Fri 11:40 A High-Throughput Platform for Efficient Exploration of Polypeptides Chemical Space via Automation and Machine Learning
Guangqi Wu · Connor Coley · Hua Lu
Poster
Wed 9:00 Local Latent Space Bayesian Optimization over Structured Inputs
Natalie Maus · Haydn Jones · Juston Moore · Matt Kusner · John Bradshaw · Jacob Gardner