Adam Foster

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 25

Top Topics

Data Integration

Utility Maximization

Stochastic Process

Top Venues

Publications

Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design. CoRR (2023)
Tom Rainforth, Adam Foster, Desi R. Ivanova, Freddie Bickford Smith
Modern Bayesian Experimental Design. CoRR (2023)
Freddie Bickford Smith, Andreas Kirsch, Sebastian Farquhar, Yarin Gal, Adam Foster, Tom Rainforth
Prediction-Oriented Bayesian Active Learning. CoRR (2023)
Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
Differentiable Multi-Target Causal Bayesian Experimental Design. CoRR (2023)
Takashi Goda, Tomohiko Hironaka, Wataru Kitade, Adam Foster
Unbiased MLMC Stochastic Gradient-Based Optimization of Bayesian Experimental Designs. SIAM J. Sci. Comput. 44 (1) (2022)
Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim
Learning Instance-Specific Data Augmentations. CoRR (2022)
Adam Foster, Árpi Vezér, Craig A. Glastonbury, Páidi Creed, Samer Abujudeh, Aaron Sim
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness. ICML (2022)
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
Deep End-to-end Causal Inference. CoRR (2022)
Desi R. Ivanova, Joel Jennings, Cheng Zhang, Adam Foster
Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation. CoRR (2022)
Desi R. Ivanova, Adam Foster, Steven Kleinegesse, Michael U. Gutmann, Thomas Rainforth
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods. NeurIPS (2021)
Emile Mathieu, Adam Foster, Yee Whye Teh
On Contrastive Representations of Stochastic Processes. CoRR (2021)
Adam Foster, Árpi Vezér, Craig A. Glastonbury, Páidí Creed, Sam Abujudeh, Aaron Sim
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness. CoRR (2021)
Adam Foster, Rattana Pukdee, Tom Rainforth
Improving Transformation Invariance in Contrastive Representation Learning. ICLR (2021)
Adam Foster, Desi R. Ivanova, Ilyas Malik, Tom Rainforth
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design. ICML (2021)
Adam Foster, Desi R. Ivanova, Ilyas Malik, Tom Rainforth
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design. CoRR (2021)
Emile Mathieu, Adam Foster, Yee Whye Teh
On Contrastive Representations of Stochastic Processes. NeurIPS (2021)
Desi R. Ivanova, Adam Foster, Steven Kleinegesse, Michael U. Gutmann, Tom Rainforth
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods. CoRR (2021)
Adam Foster, Rattana Pukdee, Tom Rainforth
Improving Transformation Invariance in Contrastive Representation Learning. CoRR (2020)
Adam Foster, Martin Jankowiak, Matthew O'Meara, Yee Whye Teh, Tom Rainforth
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments. AISTATS (2020)
Adam Foster, Martin Jankowiak, Matthew O'Meara, Yee Whye Teh, Tom Rainforth
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments. CoRR (2019)
Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah D. Goodman
Variational Estimators for Bayesian Optimal Experimental Design. CoRR (2019)
Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah D. Goodman
Variational Bayesian Optimal Experimental Design. NeurIPS (2019)
Benjamin Bloem-Reddy, Adam Foster, Emile Mathieu, Yee Whye Teh
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks. CoRR (2018)
Dell Zhang, Jiahao Yuan, Xiaoling Wang, Adam Foster
Probabilistic Verb Selection for Data-to-Text Generation. Trans. Assoc. Comput. Linguistics 6 (2018)
Benjamin Bloem-Reddy, Adam Foster, Emile Mathieu, Yee Whye Teh
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks. UAI (2018)