Creager, Elliot

15 publications

ICML 2024 Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard Zemel

NeurIPSW 2024 Promoting User Data Autonomy During the Dissolution of a Monopolistic Firm Rushabh Solanki, Elliot Creager

ICML 2024 Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making Parand A. Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. Mcilraith

ICCV 2023 SurfsUP: Learning Fluid Simulation for Novel Surfaces Arjun Mani, Ishaan Preetam Chandratreya, Elliot Creager, Carl Vondrick, Richard Zemel

NeurIPS 2022 MoCoDA: Model-Based Counterfactual Data Augmentation Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg

ICMLW 2022 MoCoDA: Model-Based Counterfactual Data Augmentation Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg

ICMLW 2022 Towards Environment-Invariant Representation Learning for Robust Task Transfer Benjamin Eyre, Richard Zemel, Elliot Creager

ICML 2021 Environment Inference for Invariant Learning Elliot Creager, Joern-Henrik Jacobsen, Richard Zemel

ICML 2021 On Disentangled Representations Learned from Correlated Data Frederik Träuble, Elliot Creager, Niki Kilbertus, Francesco Locatello, Andrea Dittadi, Anirudh Goyal, Bernhard Schölkopf, Stefan Bauer

ICML 2020 Causal Modeling for Fairness in Dynamical Systems Elliot Creager, David Madras, Toniann Pitassi, Richard Zemel

NeurIPS 2020 Counterfactual Data Augmentation Using Locally Factored Dynamics Silviu Pitis, Elliot Creager, Animesh Garg

ICML 2020 Optimizing Long-Term Social Welfare in Recommender Systems: A Constrained Matching Approach Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard Zemel, Craig Boutilier

ICLR 2019 Explaining Image Classifiers by Counterfactual Generation Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud

ICML 2019 Flexibly Fair Representation Learning by Disentanglement Elliot Creager, David Madras, Joern-Henrik Jacobsen, Marissa Weis, Kevin Swersky, Toniann Pitassi, Richard Zemel

ICML 2018 Learning Adversarially Fair and Transferable Representations David Madras, Elliot Creager, Toniann Pitassi, Richard Zemel