Dylan Sam

According to our database, Dylan Sam authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Safety Pretraining: Toward the Next Generation of Safe AI.

Pratyush Maini, Sachin Goyal, Dylan Sam, Alexander Robey, Yash Savani, Yiding Jiang, Andy Zou, Zacharcy C. Lipton, J. Zico Kolter

CoRR, April, 2025

Analyzing Similarity Metrics for Data Selection for Language Model Pretraining.

Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh, Srikumar Ramalingam, Gui Citovsky, Sanjiv Kumar

CoRR, February, 2025

Predicting the Performance of Black-box LLMs through Self-Queries.

Dylan Sam, Marc Finzi, J. Zico Kolter

CoRR, January, 2025

Finetuning CLIP to Reason about Pairwise Differences.

Dylan Sam, Devin Willmott, João D. Semedo, J. Zico Kolter

Trans. Mach. Learn. Res., 2025

2024

Bayesian Neural Networks with Domain Knowledge Priors.

Dylan Sam, Rattana Pukdee, Daniel P. Jeong, Yewon Byun, J. Zico Kolter

CoRR, 2024

Computing Low-Entropy Couplings for Large-Support Distributions.

Samuel Sokota, Dylan Sam, Christian Schröder de Witt, Spencer Compton, Jakob N. Foerster, J. Zico Kolter

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Understanding prompt engineering may not require rethinking generalization.

Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Auditing Fairness under Unobserved Confounding.

Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Learning with Explanation Constraints.

Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Label Propagation with Weak Supervision.

Rattana Pukdee, Dylan Sam, Pradeep Kumar Ravikumar, Nina Balcan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Losses over Labels: Weakly Supervised Learning via Direct Loss Construction.

Dylan Sam, J. Zico Kolter

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improving self-supervised representation learning via sequential adversarial masking.

Dylan Sam, Min Bai, Tristan McKinney, Li Erran Li

CoRR, 2022

2021

Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees.

Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Stephen H. Bach, Eli Upfal

Proceedings of the 38th International Conference on Machine Learning, 2021

Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees.

Alessio Mazzetto, Dylan Sam, Andrew Park, Eli Upfal, Stephen H. Bach

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021