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20172026
most citedFrom Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering

32 citations · 67 across the 14 of their papers we have counts for

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13 papers · 1 filter

cs.DS2026

Strong Refutation of Ordering, Phylogenetic, and Ordinary CSPs, and New Satisfiability and Refutation Thresholds for Triplet and Quartet Reconstruction

Dionysis Arvanitakis, Vaggos Chatziafratis, Yiyuan Luo +1

We study phase transitions and algorithms for refuting CSPs arising in hierarchical clustering (as well as ranking, and ordinary CSPs). Here, variables are assigned to leaves o…

cs.DS2026

Provable Accuracy Collapse in Embedding-Based Representations under Dimensionality Mismatch

Dionysis Arvanitakis, Vaggos Chatziafratis, Yiyuan Luo

Embedding-based representations in Euclidean space are a cornerstone of modern machine learning, where a major goal is to use the \emph{smallest dimension} that fait…

cs.DS2026

Optimal Phylogenetic Reconstruction from Sampled Quartets

Dionysis Arvanitakis, Vaggos Chatziafratis, Yiyuan Luo +1

Quartet Reconstruction, the task of recovering a phylogenetic tree from smaller trees on four species called \textit{quartets}, is a well-studied problem in theoretical computer sc…

cs.DS2023

Dimension-Accuracy Tradeoffs in Contrastive Embeddings for Triplets, Terminals & Top-k Nearest Neighbors

Vaggos Chatziafratis, Piotr Indyk

Metric embeddings traditionally study how to map items to a target metric space such that distance lengths are not heavily distorted; but what if we only care to preserve the r…

cs.DS20213 cited

Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT

Vaggos Chatziafratis, Mohammad Mahdian, Sara Ahmadian

In this paper, we study a number of well-known combinatorial optimization problems that fit in the following paradigm: the input is a collection of (potentially inconsistent) local…

cs.DS2021

Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering

Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky +3

Recently, Hierarchical Clustering (HC) has been considered through the lens of optimization. In particular, two maximization objectives have been defined. Moseley and Wang defined…