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Poster
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Thu 14:00
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Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner · Zonghao Chen · Yee Whye Teh · Yarin Gal
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Poster
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Tue 14:00
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A Statistical Online Inference Approach in Averaged Stochastic Approximation
Chuhan Xie · Zhihua Zhang
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Poster
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Tue 9:00
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Empirical Gateaux Derivatives for Causal Inference
Michael Jordan · Yixin Wang · Angela Zhou
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Workshop
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Bayesian parameter inference of a vortically perturbed flame model for the prediction of thermoacoustic instability
Max Croci · Joel Vasanth · Ushnish Sengupta · Ekrem Ekici · Matthew Juniper
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Poster
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Tue 9:00
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Learning Neural Set Functions Under the Optimal Subset Oracle
Zijing Ou · Tingyang Xu · Qinliang Su · Yingzhen Li · Peilin Zhao · Yatao Bian
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Poster
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Tue 14:00
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Lazy and Fast Greedy MAP Inference for Determinantal Point Process
Shinichi Hemmi · Taihei Oki · Shinsaku Sakaue · Kaito Fujii · Satoru Iwata
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Poster
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Tue 9:00
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NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li · Xujie Si
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Poster
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Tue 9:00
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Functional Ensemble Distillation
Coby Penso · Idan Achituve · Ethan Fetaya
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Workshop
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On Equivalences between Weight and Function-Space Langevin Dynamics
Ziyu Wang · Yuhao Zhou · Ruqi Zhang · Jun Zhu
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Workshop
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Particle-based Variational Inference with Preconditioned Functional Gradient Flow
Hanze Dong · Xi Wang · Yong Lin · Tong Zhang
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Workshop
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Approximate Bayesian Computation for Panel Data with Signature Maximum Mean Discrepancies
Joel Dyer · John Fitzgerald · Bastian Rieck · Sebastian Schmon
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Poster
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Tue 9:00
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Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
Veit David Wild · Robert Hu · Dino Sejdinovic
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