| Approximate hierarchical clustering via sparsest cut and spreading metrics M Charikar, V Chatziafratis Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017 | 123 | 2017 |
| From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering I Chami, A Gu, V Chatziafratis, C Re NeurIPS 2020, 2020 | 97 | 2020 |
| Hierarchical clustering better than average-linkage M Charikar, V Chatziafratis, R Niazadeh Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019 | 82 | 2019 |
| Hierarchical clustering with structural constraints V Chatziafratis, R Niazadeh, M Charikar International conference on machine learning, 774-783, 2018 | 63 | 2018 |
| Hierarchical clustering for euclidean data M Charikar, V Chatziafratis, R Niazadeh, G Yaroslavtsev The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 44 | 2019 |
| Depth-width trade-offs for relu networks via sharkovsky's theorem V Chatziafratis, SG Nagarajan, I Panageas, X Wang arXiv preprint arXiv:1912.04378, 2019 | 31 | 2019 |
| Attack vulnerability of power systems under an equal load redistribution model TC Gulcu, V Chatziafratis, Y Zhang, O Yağan IEEE/ACM Transactions on Networking 26 (3), 1306-1319, 2018 | 21 | 2018 |
| Bisect and conquer: Hierarchical clustering via max-uncut bisection S Ahmadian, V Chatziafratis, A Epasto, E Lee, M Mahdian, K Makarychev, ... arXiv preprint arXiv:1912.06983, 2019 | 19 | 2019 |
| Better depth-width trade-offs for neural networks through the lens of dynamical systems V Chatziafratis, SG Nagarajan, I Panageas International Conference on Machine Learning, 1469-1478, 2020 | 16 | 2020 |
| Stability and recovery for independence systems V Chatziafratis, T Roughgarden, J Vondrák arXiv preprint arXiv:1705.00127, 2017 | 16 | 2017 |
| Efficiently computing nash equilibria in adversarial team markov games F Kalogiannis, I Anagnostides, I Panageas, EV Vlatakis-Gkaragkounis, ... arXiv preprint arXiv:2208.02204, 2022 | 14 | 2022 |
| Bisect and conquer: Hierarchical clustering via max-uncut bisection V Chatziafratis, G Yaroslavtsev, E Lee, K Makarychev, S Ahmadian, ... International Conference on Artificial Intelligence and Statistics, 3121-3132, 2020 | 14 | 2020 |
| Adversarially robust low dimensional representations P Awasthi, V Chatziafratis, X Chen, A Vijayaraghavan Conference on Learning Theory, 237-325, 2021 | 13 | 2021 |
| Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT V Chatziafratis, M Mahdian, S Ahmadian AISTATS 2021, 2021 | 11 | 2021 |
| Bilu-linial stability, certified algorithms and the independent set problem H Angelidakis, P Awasthi, A Blum, V Chatziafratis, C Dan arXiv preprint arXiv:1810.08414, 2018 | 11 | 2018 |
| Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering D Vainstein, V Chatziafratis, G Citovsky, A Rajagopalan, M Mahdian, ... AISTATS 2021, 2021 | 9 | 2021 |
| Hierarchical clustering in graph streams: Single-pass algorithms and space lower bounds S Assadi, V Chatziafratis, V Mirrokni, C Wang Conference on Learning Theory, 4643-4702, 2022 | 8 | 2022 |
| On the robustness of power systems: optimal load-capacity distributions and hardness of attacking E Chatziafratis, Y Zhang, O Yağan 2016 Information Theory and Applications Workshop (ITA), 1-10, 2016 | 7 | 2016 |
| Hierarchical Clustering with Global Objectives: Approximation Algorithms and Hardness Results E Chatziafratis Stanford University, 2020 | 6 | 2020 |
| Inapproximability for Local Correlation Clustering and Dissimilarity Hierarchical Clustering V Chatziafratis, N Gupta, E Lee https://arxiv.org/abs/2010.01459, 2020 | 5 | 2020 |
Moses CharikarProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
