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Poster
Tue 18:30 Moment-Based Variational Inference for Markov Jump Processes
Christian Wildner · Heinz Koeppl
Poster
Tue 18:30 kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection
Lotfi Slim · Clément Chatelain · Chloe-Agathe Azencott · Jean-Philippe Vert
Poster
Tue 18:30 Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications
Pin-Yu Chen · Lingfei Wu · Sijia Liu · Indika Rajapakse
Poster
Tue 18:30 Variational Inference for sparse network reconstruction from count data
Julien Chiquet · Stephane Robin · Mahendra Mariadassou
Poster
Tue 18:30 Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models
Kaspar Märtens · Kieran Campbell · Christopher Yau
Poster
Wed 18:30 DeepNose: Using artificial neural networks to represent the space of odorants
Ngoc Tran · Daniel Kepple · Sergey Shuvaev · Alexei Koulakov
Poster
Wed 18:30 Conditioning by adaptive sampling for robust design
David Brookes · Jennifer Listgarten
Poster
Wed 18:30 A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology
Onur Dereli · Ceyda Oğuz · Mehmet Gönen
Poster
Wed 18:30 Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
Ted Meeds · Geoffrey Roeder · Paul Grant · Andrew Phillips · Neil Dalchau
Poster
Thu 18:30 Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits
Martin Zhang · James Zou · David Tse
Poster
Thu 18:30 Noise2Self: Blind Denoising by Self-Supervision
Joshua Batson · Loic Royer
Poster
Tue 7:00 Explaining Groups of Points in Low-Dimensional Representations
Gregory Plumb · Jonathan Terhorst · Sriram Sankararaman · Ameet Talwalkar