| Invariant and transportable representations for anti-causal domain shifts Y Jiang, V Veitch Advances in Neural Information Processing Systems (NeurIPS) 35, 20782-20794, 2022 | 22 | 2022 |
| Learning nonparametric latent causal graphs with unknown interventions Y Jiang, B Aragam Advances in Neural Information Processing Systems (NeurIPS) 36, 2023 | 15 | 2023 |
| Beyond reverse KL: Generalizing direct preference optimization with diverse divergence constraints C Wang, Y Jiang, C Yang, H Liu, Y Chen International conference on learning representations (ICLR), Spotlight, 2023 | 12 | 2023 |
| Associative memory in iterated overparameterized sigmoid autoencoders Y Jiang, C Pehlevan International conference on machine learning (ICML), 4828-4838, 2020 | 12 | 2020 |
| Meta-learning to cluster Y Jiang, N Verma arXiv preprint arXiv:1910.14134, 2019 | 11 | 2019 |
| Uncovering meanings of embeddings via partial orthogonality Y Jiang, B Aragam, V Veitch Advances in Neural Information Processing Systems (NeurIPS) 36, 2023 | 3 | 2023 |
| Model-agnostic meta-learning using runge-kutta methods DJ Im, Y Jiang, N Verma arXiv preprint arXiv:1910.07368, 2019 | 3 | 2019 |
| StackReader: an RNN-free reading comprehension model Y Jiang, Z Zhao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 1 | 2018 |
| On the origins of linear representations in large language models Y Jiang, G Rajendran, P Ravikumar, B Aragam, V Veitch arXiv preprint arXiv:2403.03867, 2024 | | 2024 |
Victor VeitchUniversity of Chicago, GoogleVerified email at uchicago.edu
