Varmixup: Exploiting the latent space for robust training and inference P Mangla, V Singh, SJ Havaldar, VN Balasubramanian ICLR 2021 workshops on (1) Generalization beyond training distributions and …, 2020 | 10* | 2020 |
Label Differential Privacy via Aggregation A Brahmbhatt, R Saket, S Havaldar, A Nasery, A Raghuveer arXiv preprint arXiv:2310.10092, 2023 | | 2023 |
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation S Havaldar, N Sharma, S Sareen, K Shanmugam, A Raghuveer The Twelfth International Conference on Learning Representations (ICLR 2024 …, 2023 | | 2023 |
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples S Havaldar, J Chauhan, K Shanmugam, J Nandy, A Raghuveer The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024) and …, 2023 | | 2023 |