Elliot Creager
13 papers · 2018–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) 🏃 Academic Marathon (6)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(6)
🏆
Keyword Champion
💎
Century Club
(12)
🔥
Unstoppable
(7)
Conferences
ICML (8)
NIPS (2)
EACL (1)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
causal inference
(3)
domain adaptation
(2)
counterfactual data augmentation
(2)
out-of-distribution generalization
(2)
representation learning
(2)
disentangled representation
(2)
domain generalization
(1)
model-based reinforcement learning
(1)
offline reinforcement learning
(1)
implicit representation
(1)
scene reconstruction
(1)
algorithmic fairness
(1)
distribution shift
(1)
off-policy reinforcement learning
(1)
causal mechanism
(1)
dynamical system
(1)
latent representation
(1)
model evaluation
(1)
group fairness
(1)
adversarial learning
(1)
Papers
Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
EACL 2026
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
ICML 2024
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
ICML 2024
SurfsUP: Learning Fluid Simulation for Novel Surfaces
ICCV 2023
MoCoDA: Model-based Counterfactual Data Augmentation
NIPS 2022
Environment Inference for Invariant Learning
ICML 2021
On Disentangled Representations Learned from Correlated Data
ICML 2021
Causal Modeling for Fairness In Dynamical Systems
ICML 2020
Counterfactual Data Augmentation using Locally Factored Dynamics
NIPS 2020
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
ICML 2020
Flexibly Fair Representation Learning by Disentanglement
ICML 2019
Explaining Image Classifiers by Counterfactual Generation
ICLR 2019
Learning Adversarially Fair and Transferable Representations
ICML 2018