Adam Foster
14 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Conference Polyglot (4)
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Conference Polyglot
(4)
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Academic Marathon
(6)
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Cross-Pollinator
(15)
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Triple Crown
π₯
Unstoppable
(7)
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Century Club
(14)
ποΈ
Keyword Collector
(57)
Conferences
ICML (6)
NIPS (4)
AISTATS (3)
ICLR (1)
Top co-authors
Keywords
amortized inference
(3)
contrastive learning
(3)
variational inference
(3)
bayesian inference
(3)
representation learning
(2)
bayesian experimental design
(2)
acquisition function
(2)
predictive performance
(2)
experimental design
(2)
bayesian active learning
(2)
expected information gain
(2)
gradient-based optimization
(1)
causal discovery
(1)
self-supervised learning
(1)
structure learning
(1)
active learning
(1)
time series
(1)
stochastic gradient
(1)
deep learning
(1)
causal structure learning
(1)
Papers
Rethinking Aleatoric and Epistemic Uncertainty
ICML 2025
Amortized Active Causal Induction with Deep Reinforcement Learning
NIPS 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning
AISTATS 2024
Learning Instance-Specific Augmentations by Capturing Local Invariances
ICML 2023
Prediction-Oriented Bayesian Active Learning
AISTATS 2023
Differentiable Multi-Target Causal Bayesian Experimental Design
ICML 2023
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
ICML 2023
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
ICML 2022
Improving Transformation Invariance in Contrastive Representation Learning
ICLR 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
NIPS 2021
On Contrastive Representations of Stochastic Processes
NIPS 2021
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
ICML 2021
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments
AISTATS 2020
Variational Bayesian Optimal Experimental Design
NIPS 2019