firstbacksecondback
143 Results
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 |