James Jordon
15 papers · 2018–2023 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🏃 Academic Marathon (5) 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(12)
🌍
Conference Polyglot
(5)
🤝
Dynamic Duo
(11)
💎
Century Club
(15)
🚀
Conference Pioneer
⚡
Prolific Year
(5)
❓
The Questioner
Conferences
ICLR (5)
NIPS (4)
ICML (3)
AISTATS (2)
MLHC (1)
Top co-authors
Research topics
Keywords
causal inference
(3)
generative adversarial network
(3)
organ transplantation
(2)
treatment effect
(2)
domain adaptation
(1)
cluster analysis
(1)
semi-supervised learning
(1)
data augmentation
(1)
transfer learning
(1)
adversarial training
(1)
resource allocation
(1)
survival analysis
(1)
target domain
(1)
active sensing
(1)
self-supervised learning
(1)
ensemble method
(1)
missing data imputation
(1)
safety constraint
(1)
counterfactual reasoning
(1)
sequential decision making
(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
OrganITE: Optimal transplant donor organ offering using an individual treatment effect
NIPS 2020
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain
NIPS 2020
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
NIPS 2020
ASAC: Active Sensing using Actor-Critic models
MLHC 2019
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks
ICLR 2019
PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees
ICLR 2019
INVASE: Instance-wise Variable Selection using Neural Networks
ICLR 2019
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
NIPS 2019
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks
ICML 2018
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets
ICLR 2018
GAIN: Missing Data Imputation using Generative Adversarial Nets
ICML 2018