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Poster
Fri 11:00 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
Syrine Belakaria · Ben Letham · Jana Doppa · Barbara Engelhardt · Stefano Ermon · Eytan Bakshy
Affinity Event
Scalable Permutation Invariant Multi-Output Gaussian Processes for Cancer Drug Response
Leiv Ronneberg · Vidhi Lalchand
Poster
Wed 16:30 Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
Qian Xie · Raul Astudillo · Peter Frazier · Ziv Scully · Alexander Terenin
Workshop
Ensemble Mashups: A Simple Recipe For Better Bayesian Optimization
Anand Ravishankar · Fernando Llorente · Yuanqing Song · Petar Djuric
Poster
Wed 16:30 DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization
Yueming Xu · Haochen Jiang · Zhongyang Xiao · Jianfeng Feng · Li Zhang
Poster
Wed 11:00 Nonstationary Sparse Spectral Permanental Process
Zicheng Sun · Yixuan Zhang · Zenan Ling · Xuhui Fan · Feng Zhou
Poster
Wed 11:00 Physics-Informed Variational State-Space Gaussian Processes
Oliver Hamelijnck · Arno Solin · Theodoros Damoulas
Workshop
Failure Prediction from Few Expert Demonstrations
Anjali Parashar · Kunal Garg · Joseph Zhang · Chuchu Fan
Poster
Fri 16:30 Idiographic Personality Gaussian Process for Psychological Assessment
Yehu Chen · Muchen Xi · Joshua Jackson · Jacob Montgomery · Roman Garnett
Workshop
Graph Classification Gaussian Processes via Hodgelet Spectral Features
Mathieu Alain · So Takao · Bastian Rieck · Xiaowen Dong · Emmanuel Noutahi
Poster
Fri 11:00 Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
Puqian Wang · Nikos Zarifis · Ilias Diakonikolas · Jelena Diakonikolas
Workshop
Stochastic Gradient MCMC for Gaussian Process Inference on Massive Geostatistical Data
Mohamed Abba · Brian Reich · Reetam Majumder · Brandon Feng