| Adversarial Multiclass Learning under Weak Supervision with Performance Guarantees A Mazzetto, C Cousins, D Sam, SH Bach, E Upfal International Conference on Machine Learning, 2021 | 34 | 2021 |
| Semi-supervised aggregation of dependent weak supervision sources with performance guarantees A Mazzetto, D Sam, A Park, E Upfal, S Bach International Conference on Artificial Intelligence and Statistics, 3196-3204, 2021 | 29 | 2021 |
| Losses over labels: Weakly supervised learning via direct loss construction D Sam, JZ Kolter Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9695-9703, 2023 | 6 | 2023 |
| Label Propagation with Weak Supervision R Pukdee, D Sam, MF Balcan, P Ravikumar International Conference on Learning Representations, 2023 | 6 | 2023 |
| Automated data accountability for missions in Mars rover data R Alimo, D Sam, D Lakhmiri, B Kahovec, D Divsalar 2021 IEEE Aerospace Conference (50100), 1-8, 2021 | 6* | 2021 |
| Learning with Explanation Constraints R Pukdee, D Sam, JZ Kolter, MFF Balcan, P Ravikumar Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Learning from Dependent Weak Supervision Sources D Sam Brown University, 2021 | 1* | 2021 |
| Auditing Fairness under Unobserved Confounding Y Byun, D Sam, M Oberst, Z Lipton, B Wilder International Conference on Artificial Intelligence and Statistics, 4339-4347, 2024 | | 2024 |
| Bayesian Neural Networks with Domain Knowledge Priors D Sam, R Pukdee, DP Jeong, Y Byun, JZ Kolter arXiv preprint arXiv:2402.13410, 2024 | | 2024 |
| Computing Low-Entropy Couplings for Large-Support Distributions S Sokota, D Sam, CS de Witt, S Compton, JN Foerster, JZ Kolter | | 2023 |
| Understanding prompt engineering may not require rethinking generalization V Akinwande, Y Jiang, D Sam, JZ Kolter arXiv preprint arXiv:2310.03957, 2023 | | 2023 |
| Improving self-supervised representation learning via sequential adversarial masking D Sam, M Bai, T McKinney, LE Li Self-Supervised Learning: Theory and Practice @ NeurIPS, 2022, 2022 | | 2022 |
| Hierarchical Clustering Analysis of Spectral Fingerprints for Cheminformatics D Sam, BM Rubenstein NeurIPS Machine Learning for Molecules Workshop, 2020, 2020 | | 2020 |
Stephen H. BachAssistant Professor of Computer Science, Brown UniversityDirección de correo verificada de cs.brown.edu
