| 2024 | AISTATS | Auditing Fairness under Unobserved Confounding. | Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder |
| 2024 | ICLR | Understanding prompt engineering may not require rethinking generalization. | Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter |
| 2024 | UAI | Computing Low-Entropy Couplings for Large-Support Distributions. | Samuel Sokota, Dylan Sam, Christian Schrder de Witt, Spencer Compton, Jakob N. Foerster, J. Zico Kolter |
| 2023 | AAAI | Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. | Dylan Sam, J. Zico Kolter |
| 2023 | ICLR | Label Propagation with Weak Supervision. | Rattana Pukdee, Dylan Sam, Pradeep Kumar Ravikumar, Nina Balcan |
| 2021 | AISTATS | Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees. | Alessio Mazzetto, Dylan Sam, Andrew Park, Eli Upfal, Stephen H. Bach |
| 2021 | ICML | Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees. | Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Stephen H. Bach, Eli Upfal |