CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. - Jeremy Irvin; Pranav Rajpurkar; Michael Ko; Yifan Yu 005; Silviana Ciurea-Ilcus; Christopher Chute; Henrik Marklund; Behzad Haghgoo; Robyn L. Ball; Katie S. Shpanskaya; Jayne Seekins; David A. Mong; et al. (AAAI, 2019)

Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift. - Marvin Zhang; Henrik Marklund; Abhishek Gupta 004; Sergey Levine; Chelsea Finn (CoRR, 2020)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Sara Beery; Jure Leskovec; Anshul Kundaje; et al. (CoRR, 2020)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Irena Gao; Tony Lee; Etienne David; et al. (ICML, 2021)

Adaptive Risk Minimization: Learning to Adapt to Domain Shift. - Marvin Zhang; Henrik Marklund; Nikita Dhawan; Abhishek Gupta 004; Sergey Levine; Chelsea Finn (NeurIPS, 2021)

Extending the WILDS Benchmark for Unsupervised Adaptation. - Shiori Sagawa; Pang Wei Koh; Tony Lee; Irena Gao; Sang Michael Xie; Kendrick Shen; Ananya Kumar; Weihua Hu; Michihiro Yasunaga; Henrik Marklund; Sara Beery; Etienne David; et al. (ICLR, 2022)

Maintaining Plasticity via Regenerative Regularization. - Saurabh Kumar 004; Henrik Marklund; Benjamin Van Roy (CoRR, 2023)

Maintaining Plasticity in Continual Learning via Regenerative Regularization. - Saurabh Kumar 004; Henrik Marklund; Benjamin Van Roy (CoLLAs, 2024)

Adaptive Crowdsourcing Via Self-Supervised Learning. - Anmol Kagrecha; Henrik Marklund; Benjamin Van Roy; Hong Jun Jeon; Richard Zeckhauser (CoRR, 2024)

Choice between Partial Trajectories. - Henrik Marklund; Benjamin Van Roy (CoRR, 2024)

Test-Time Alignment via Hypothesis Reweighting. - Yoonho Lee 001; Jonathan Williams; Henrik Marklund; Archit Sharma; Eric Mitchell; Anikait Singh; Chelsea Finn (CoRR, 2024)

Continual Learning as Computationally Constrained Reinforcement Learning. - Saurabh Kumar 004; Henrik Marklund; Ashish Rao; Yifan Zhu; Hong Jun Jeon; Yueyang Liu; Benjamin Van Roy (Found. Trends Mach. Learn., 2025)

Misalignment from Treating Means as Ends. - Henrik Marklund; Alex Infanger; Benjamin Van Roy (CoRR, 2025)

Granular feedback merits sophisticated aggregation. - Anmol Kagrecha; Henrik Marklund; Potsawee Manakul; Richard Zeckhauser; Benjamin Van Roy (CoRR, 2025)