| Local signal adaptivity: Provable feature learning in neural networks beyond kernels S Karp, E Winston, Y Li, A Singh Advances in Neural Information Processing Systems 34, 24883-24897, 2021 | 24 | 2021 |
| K-median algorithms: theory in practice D Dohan, S Karp, B Matejek | 11 | 2015 |
| PAC-Bayes learning bounds for sample-dependent priors P Awasthi, S Kale, S Karp, M Mohri Advances in Neural Information Processing Systems 33, 4403-4414, 2020 | 7 | 2020 |
| Agnostic learnability of halfspaces via logistic loss Z Ji, K Ahn, P Awasthi, S Kale, S Karp International Conference on Machine Learning, 10068-10103, 2022 | 6 | 2022 |
| Efficient training of language models using few-shot learning SJ Reddi, S Miryoosefi, S Karp, S Krishnan, S Kale, S Kim, S Kumar International Conference on Machine Learning, 14553-14568, 2023 | 2 | 2023 |
| Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs A Lahoti, S Karp, E Winston, A Singh, Y Li arXiv preprint arXiv:2403.15707, 2024 | | 2024 |
| Applying statistical learning theory to deep learning C Gerbelot, A Karagulyan, S Karp, K Ravichandran, M Stern, N Srebro arXiv preprint arXiv:2311.15404, 2023 | | 2023 |
| Learning from setbacks: the impact of adversarial initialization on generalization performance K Ravichandran, Y Dandi, S Karp, F Mignacco NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023 | | 2023 |
| Memory-Enhanced Machine Learning Models for Music Generation R Balaji, T Dabral, S Karp Carnegie Mellon University Course Project (http://www.cs.cmu.edu/~shkarp …, 2018 | | 2018 |
| A New Examination of Persistent Data Structures S Karp Princeton University Undergraduate Senior Thesis (http://www.cs.cmu.edu …, 2015 | | 2015 |
| Information Theoretic Approaches to the Unexpected Hanging Paradox S Karp Princeton University Junior-Year Independent Work (http://www.cs.cmu.edu …, 2014 | | 2014 |
Satyen KaleResearch Scientist, Google ResearchVerified email at google.com
