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Workshop
Active Bayesian Causal inference
Christian Toth · Lars Lorch · Christian Knoll · Andreas Krause · Franz Pernkopf · Robert Peharz · Julius von Kügelgen
Poster
Wed 9:00 Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers
Ganchao Wei · Ian H Stevenson · Xiaojing Wang
Workshop
Active Bayesian Causal Inference
Christian Toth · Lars Lorch · Christian Knoll · Andreas Krause · Franz Pernkopf · Robert Peharz · Julius von Kügelgen
Poster
Tue 14:00 Active Bayesian Causal Inference
Christian Toth · Lars Lorch · Christian Knoll · Andreas Krause · Franz Pernkopf · Robert Peharz · Julius von Kügelgen
Poster
Tue 14:00 Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Masaki Adachi · Satoshi Hayakawa · Martin Jørgensen · Harald Oberhauser · Michael A Osborne
Poster
Wed 14:00 Interventions, Where and How? Experimental Design for Causal Models at Scale
Panagiotis Tigas · Yashas Annadani · Andrew Jesson · Bernhard Schölkopf · Yarin Gal · Stefan Bauer
Workshop
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting
Tian Guo
Poster
Tue 9:00 Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation
Jannik Kossen · Sebastian Farquhar · Yarin Gal · Thomas Rainforth
Workshop
Fri 9:00 MolPAL: Software for Sample Efficient High-Throughput Virtual Screening
David Graff · Connor Coley
Workshop
Provable Active Learning of Neural Networks for Parametric PDEs
Aarshvi Gajjar · Chinmay Hegde · Christopher Musco
Poster
Thu 14:00 Nonlinear MCMC for Bayesian Machine Learning
James Vuckovic
Poster
Tue 9:00 Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning
Chenyang Wu · Tianci Li · Zongzhang Zhang · Yang Yu