James Jordon
15 papers · 2018–2023 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(14)
Core Methods
(8)
Application Areas
(7)
Artificial Intelligence
(6)
Core AI
(6)
Learning Types
(6)
Deep Learning
(5)
Security & Privacy
(2)
Architectures
(2)
Differential Privacy
(2)
Models
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Applications
(1)
Keywords
generative adversarial network
(6)
causal inference
(4)
treatment effect
(2)
counterfactual outcome
(2)
domain adaptation
(2)
differential privacy
(2)
organ transplantation
(2)
treatment effect estimation
(2)
variable selection
(2)
resource allocation
(1)
adversarial training
(1)
data augmentation
(1)
transfer learning
(1)
survival analysis
(1)
self-supervised learning
(1)
ensemble method
(1)
sequential decision making
(1)
missing data imputation
(1)
active sensing
(1)
feature selection
(1)
Papers
To Impute or not to Impute? Missing Data in Treatment Effect Estimation
AISTATS 2023
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis
ICML 2021
Contextual Constrained Learning for Dose-Finding Clinical Trials
AISTATS 2020
Estimating counterfactual treatment outcomes over time through adversarially balanced representations
ICLR 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
NeurIPS 2020
OrganITE: Optimal transplant donor organ offering using an individual treatment effect
NeurIPS 2020
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain
NeurIPS 2020
ASAC: Active Sensing using Actor-Critic models
MLHC 2019
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
NeurIPS 2019
INVASE: Instance-wise Variable Selection using Neural Networks
ICLR 2019
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks
ICLR 2019
PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees
ICLR 2019
GAIN: Missing Data Imputation using Generative Adversarial Nets
ICML 2018
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets
ICLR 2018
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks
ICML 2018