The network visibility problem K Gatmiry, M Gomez-Rodriguez ACM Transactions on Information Systems (TOIS) 40 (2), 1-42, 2021 | 27* | 2021 |
Convergence of the riemannian langevin algorithm K Gatmiry, SS Vempala arXiv preprint arXiv:2204.10818, 2022 | 19 | 2022 |
Bandit Algorithms for Prophet Inequality and Pandora's Box K Gatmiry, T Kesselheim, S Singla, Y Wang Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024 | 11 | 2024 |
On the generalization of learning algorithms that do not converge N Chandramoorthy, A Loukas, K Gatmiry, S Jegelka Advances in Neural Information Processing Systems 35, 34241-34257, 2022 | 9 | 2022 |
The Inductive Bias of Flatness Regularization for Deep Matrix Factorization K Gatmiry, Z Li, T Ma, SJ Reddi, S Jegelka, CY Chuang Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 8* | 2023 |
When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm? Y Chen, K Gatmiry arXiv preprint arXiv:2304.04724, 2023 | 8 | 2023 |
Optimal algorithms for group distributionally robust optimization and beyond T Soma, K Gatmiry, S Jegelka arXiv preprint arXiv:2212.13669, 2022 | 7 | 2022 |
Learning mixtures of gaussians using diffusion models K Gatmiry, J Kelner, H Lee arXiv preprint arXiv:2404.18869, 2024 | 5 | 2024 |
Quasi-newton steps for efficient online exp-concave optimization Z Mhammedi, K Gatmiry The Thirty Sixth Annual Conference on Learning Theory, 4473-4503, 2023 | 4 | 2023 |
Sampling with Barriers: Faster Mixing via Lewis Weights K Gatmiry, J Kelner, SS Vempala arXiv preprint arXiv:2303.00480, 2023 | 4 | 2023 |
A Unified Approach to Controlling Implicit Regularization via Mirror Descent H Sun, K Gatmiry, K Ahn, N Azizan Journal of Machine Learning Research 24 (393), 1-58, 2023 | 4 | 2023 |
Projection-Free Online Convex Optimization via Efficient Newton Iterations K Gatmiry, Z Mhammedi Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 2 | 2023 |
A simple proof of the mixing of metropolis-adjusted langevin algorithm under smoothness and isoperimetry Y Chen, K Gatmiry arXiv preprint arXiv:2304.04095, 2023 | 1 | 2023 |
Adaptive Generalization and Optimization of Three-Layer Neural Networks K Gatmiry, S Jegelka, J Kelner The Tenth International Conference on Learning Representations (ICLR), 2022 | 1* | 2022 |
Testing determinantal point processes K Gatmiry, M Aliakbarpour, S Jegelka Advances in Neural Information Processing Systems 33, 12779-12791, 2020 | 1 | 2020 |
EM for Mixture of Linear Regression with Clustered Data A Reisizadeh, K Gatmiry, A Ozdaglar International Conference on Artificial Intelligence and Statistics, 2341-2349, 2024 | | 2024 |
Projection-free online convex optimization via efficient newton iterations Z Mhammedi, K Gatmiry Proceedings of the 37th International Conference on Neural Information …, 2023 | | 2023 |
Simplicity Bias of SGD via Sharpness Minimization K Gatmiry, Z Li, L Ruiz, SJ Reddi, S Jegelka | | 2023 |
Testing, Learning, and Optimization in High Dimensions K Gatmiry Massachusetts Institute of Technology, 2022 | | 2022 |
Information Theoretic Bounds on Optimal Worst-case Error in Binary Mixture Identification K Gatmiry, SA Motahari arXiv preprint arXiv:1811.07307, 2018 | | 2018 |