Replicable clustering H Esfandiari, A Karbasi, V Mirrokni, G Velegkas, F Zhou Advances in Neural Information Processing Systems 36, 2023 | 12 | 2023 |
Replicability in reinforcement learning A Karbasi, G Velegkas, L Yang, F Zhou Advances in Neural Information Processing Systems 36, 74702-74735, 2023 | 7 | 2023 |
On the complexity of nucleolus computation for bipartite b-matching games J Könemann, J Toth, F Zhou Theoretical Computer Science 998, 114476, 2024 | 6 | 2024 |
Replicable Learning of Large-Margin Halfspaces A Kalavasis, A Karbasi, KG Larsen, G Velegkas, F Zhou arXiv preprint arXiv:2402.13857, 2024 | 3 | 2024 |
On the Computational Landscape of Replicable Learning A Kalavasis, A Karbasi, G Velegkas, F Zhou arXiv preprint arXiv:2405.15599, 2024 | 1 | 2024 |
The Power of Graph Sparsification in the Continual Release Model A Epasto, QC Liu, T Mukherjee, F Zhou arXiv preprint arXiv:2407.17619, 2024 | | 2024 |
Pointwise Lipschitz Continuous Graph Algorithms via Proximal Gradient Analysis QC Liu, G Velegkas, Y Yoshida, F Zhou arXiv preprint arXiv:2405.08938, 2024 | | 2024 |