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Poster
Fri 11:00 Robust Gaussian Processes via Relevance Pursuit
Sebastian Ament · Elizabeth Santorella · David Eriksson · Ben Letham · Maximilian Balandat · Eytan Bakshy
Poster
Wed 11:00 Nonstationary Sparse Spectral Permanental Process
Zicheng Sun · Yixuan Zhang · Zenan Ling · Xuhui Fan · Feng Zhou
Affinity Event
Scalable Permutation Invariant Multi-Output Gaussian Processes for Cancer Drug Response
Leiv Ronneberg · Vidhi Lalchand
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
Workshop
Graph Classification Gaussian Processes via Hodgelet Spectral Features
Mathieu Alain · So Takao · Bastian Rieck · Xiaowen Dong · Emmanuel Noutahi
Poster
Fri 16:30 Idiographic Personality Gaussian Process for Psychological Assessment
Yehu Chen · Muchen Xi · Joshua Jackson · Jacob Montgomery · Roman Garnett
Poster
Fri 16:30 AlphaMath Almost Zero: Process Supervision without Process
Guoxin Chen · Minpeng Liao · Chengxi Li · Kai Fan
Poster
Wed 16:30 Splatter a Video: Video Gaussian Representation for Versatile Processing
Yang-Tian Sun · Yihua Huang · Lin Ma · Xiaoyang Lyu · Yan-Pei Cao · Xiaojuan Qi
Workshop
Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure
Jihao Andreas Lin · Sebastian Ament · Maximilian Balandat · Eytan Bakshy
Workshop
Stochastic Gradient MCMC for Gaussian Process Inference on Massive Geostatistical Data
Mohamed Abba · Brian Reich · Reetam Majumder · Brandon Feng
Workshop
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li · Yuanzhi Li