Vaggos Chatziafratis

According to our database1, Vaggos Chatziafratis authored at least 16 papers between 2017 and 2021.

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Bibliography

2021
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Inapproximability for Local Correlation Clustering and Dissimilarity Hierarchical Clustering.
CoRR, 2020

From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Better depth-width trade-offs for neural networks through the lens of dynamical systems.
Proceedings of the 37th International Conference on Machine Learning, 2020

Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem.
Proceedings of the 8th International Conference on Learning Representations, 2020

Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Adversarially Robust Low Dimensional Representations.
CoRR, 2019

Hierarchical Clustering better than Average-Linkage.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Bilu-Linial Stability, Certified Algorithms and the Independent Set Problem.
Proceedings of the 27th Annual European Symposium on Algorithms, 2019

On the Computational Power of Online Gradient Descent.
Proceedings of the Conference on Learning Theory, 2019

Hierarchical Clustering for Euclidean Data.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Attack Vulnerability of Power Systems Under an Equal Load Redistribution Model.
IEEE/ACM Trans. Netw., 2018

Hierarchical Clustering with Structural Constraints.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Approximate Hierarchical Clustering via Sparsest Cut and Spreading Metrics.
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 2017

Stability and Recovery for Independence Systems.
Proceedings of the 25th Annual European Symposium on Algorithms, 2017


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