Adam Foster | DeepAI

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Featured Co-authors

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∙ 04/17/2023

Prediction-Oriented Bayesian Active Learning

Information-theoretic approaches to active learning have traditionally f...

0 Freddie Bickford Smith, et al. ∙

∙ 02/28/2023

Modern Bayesian Experimental Design

Bayesian experimental design (BED) provides a powerful and general frame...

0 Tom Rainforth, et al. ∙

∙ 02/21/2023

Differentiable Multi-Target Causal Bayesian Experimental Design

We introduce a gradient-based approach for the problem of Bayesian optim...

0 Yashas Annadani, et al. ∙

∙ 11/03/2021

Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods

We introduce implicit Deep Adaptive Design (iDAD), a new method for perf...

0 Desi R. Ivanova, et al. ∙

∙ 06/18/2021

On Contrastive Representations of Stochastic Processes

Learning representations of stochastic processes is an emerging problem ...

0 Emile Mathieu, et al. ∙

∙ 06/15/2021

Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness

Learning meaningful representations of data that can address challenges ...

0 Adam Foster, et al. ∙

∙ 03/03/2021

Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design

We introduce Deep Adaptive Design (DAD), a method for amortizing the cos...

0 Adam Foster, et al. ∙

∙ 10/19/2020

Improving Transformation Invariance in Contrastive Representation Learning

We propose methods to strengthen the invariance properties of representa...

0 Adam Foster, et al. ∙

∙ 11/01/2019

A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments

We introduce a fully stochastic gradient based approach to Bayesian opti...

23 Adam Foster, et al. ∙

∙ 03/13/2019

Variational Estimators for Bayesian Optimal Experimental Design

Bayesian optimal experimental design (BOED) is a principled framework fo...

16 Adam Foster, et al. ∙

∙ 03/13/2019

Variational Bayesian Optimal Experimental Design

Bayesian optimal experimental design (BOED) is a principled framework fo...

0 Adam Foster, et al. ∙

∙ 07/09/2018

Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks

Empirical evidence suggests that heavy-tailed degree distributions occur...

4 Benjamin Bloem-Reddy, et al. ∙

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