Artigos com autorizações de acesso público - Adam FosterSaiba mais
14 artigos disponíveis publicamente
Variational bayesian optimal experimental design
A Foster, M Jankowiak, E Bingham, P Horsfall, YW Teh, T Rainforth, ...
Advances in Neural Information Processing Systems (NeurIPS 2019), 2019
Autorizações: UK Engineering and Physical Sciences Research Council, European Commission
Modern bayesian experimental design
T Rainforth, A Foster, DR Ivanova, FB Smith
Statistical Science, 2023
Autorizações: UK Engineering and Physical Sciences Research Council
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
A Foster, DR Ivanova, I Malik, T Rainforth
38th International Conference on Machine Learning (ICML 2021), 2021
Autorizações: UK Engineering and Physical Sciences Research Council
A unified stochastic gradient approach to designing bayesian-optimal experiments
A Foster, M Jankowiak, M O’Meara, YW Teh, T Rainforth
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
Autorizações: UK Engineering and Physical Sciences Research Council, European Commission
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
D Ivanova, A Foster, S Kleinegesse, MU Gutmann, T Rainforth
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
Autorizações: UK Engineering and Physical Sciences Research Council
Prediction-oriented Bayesian active learning
FB Smith, A Kirsch, S Farquhar, Y Gal, A Foster, T Rainforth
International Conference on Artificial Intelligence and Statistics, 7331-7348, 2023
Autorizações: UK Engineering and Physical Sciences Research Council
Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs
T Goda, T Hironaka, W Kitade, A Foster
SIAM Journal on Scientific Computing 44 (1), A286-A311, 2022
Autorizações: UK Engineering and Physical Sciences Research Council
On Contrastive Representations of Stochastic Processes
E Mathieu, A Foster, YW Teh
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
Autorizações: UK Engineering and Physical Sciences Research Council, European Commission
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
A Foster, Á Vezér, CA Glastonbury, P Creed, S Abujudeh, A Sim
39th International Conference on Machine Learning (ICML 2022), 2021
Autorizações: UK Engineering and Physical Sciences Research Council
Variational Optimal Experiment Design: Efficient Automation of Adaptive Experiments
A Foster, M Jankowiak, E Bingham, YW Teh, T Rainforth, N Goodman
Third workshop on Bayesian Deep Learning at NeurIPS 2018, 2018
Autorizações: UK Engineering and Physical Sciences Research Council, European Commission
An extension of standard latent Dirichlet allocation to multiple corpora
A Foster, H Li, G Maierhofer, M Shearer
SIAM Undergraduate Research Online 9, 2016
Autorizações: US National Science Foundation
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
DR Ivanova, J Jennings, T Rainforth, C Zhang, A Foster
40th International Conference on Machine Learning (ICML 2023), 2023
Autorizações: UK Engineering and Physical Sciences Research Council
Sampling and inference for discrete random probability measures in probabilistic programs
B Bloem-Reddy, E Mathieu, A Foster, T Rainforth, YW Teh, H Ge, ...
Workshop on Advances in Approximate Bayesian Inference at NeurIPS 2017, 2017
Autorizações: UK Engineering and Physical Sciences Research Council, European Commission
Making better use of unlabelled data in Bayesian active learning
FB Smith, A Foster, T Rainforth
International Conference on Artificial Intelligence and Statistics, 847-855, 2024
Autorizações: UK Engineering and Physical Sciences Research Council
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