When is memorization of irrelevant training data necessary for high-accuracy learning? G Brown, M Bun, V Feldman, A Smith, K Talwar Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021 | 97 | 2021 |
Performative prediction in a stateful world G Brown, S Hod, I Kalemaj International Conference on Artificial Intelligence and Statistics, 6045-6061, 2022 | 70 | 2022 |
Covariance-aware private mean estimation without private covariance estimation G Brown, M Gaboardi, A Smith, J Ullman, L Zakynthinou Advances in Neural Information Processing Systems 34, 7950-7964, 2021 | 57 | 2021 |
Deep learning-based classification and anomaly detection of side-channel signals X Wang, Q Zhou, J Harer, G Brown, S Qiu, Z Dou, J Wang, A Hinton, ... Cyber Sensing 2018 10630, 37-44, 2018 | 48 | 2018 |
Strong Memory Lower Bounds for Learning Natural Models G Brown, M Bun, A Smith Conference on Learning Theory, 4989-5029, 2022 | 14 | 2022 |
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions G Brown, S Hopkins, A Smith The Thirty Sixth Annual Conference on Learning Theory, 5578-5579, 2023 | 12 | 2023 |
A mathematical analysis of network controllability through driver nodes SP Chin, J Cohen, A Albin, M Hayvanovych, E Reilly, G Brown, J Harer IEEE Transactions on Computational Social Systems 4 (2), 40-51, 2017 | 8 | 2017 |
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation G Brown, K Dvijotham, G Evans, D Liu, A Smith, A Thakurta arXiv preprint arXiv:2402.13531, 2024 | 2 | 2024 |
Deep Learning for Minimal-context Block Tracking through Side-channel Analysis L Jensen, G Brown, X Wang, J Harer, S Chin ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 2 | 2019 |
Metalearning with very few samples per task M Aliakbarpour, K Bairaktari, G Brown, A Smith, N Srebro, J Ullman The Thirty Seventh Annual Conference on Learning Theory, 46-93, 2024 | 1 | 2024 |
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares G Brown, J Hayase, S Hopkins, W Kong, X Liu, S Oh, JC Perdomo, ... arXiv preprint arXiv:2404.15409, 2024 | 1 | 2024 |
Deep learning for Minimal Context Classification of Block-types through Side-Channel Analysis L Jensen, G Brown, X Wang, J Harer, S Chin | | 2019 |
Theoretically guided design of efficient polymer dielectrics J Miao, GR Brown, PL Taylor Journal of Applied Physics 115 (9), 2014 | | 2014 |