Cover Image

Learning-Augmented Hierarchical Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Braverman, Vladimir, Ergun, Jon C., Wang, Chen, Zhou, Samson
Format:	Preprint
Published:	2025
Subjects:	Data Structures and Algorithms Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Learning with Limited Information in the Sliding Window Model
by: Braverman, Vladimir, et al.
Published: (2026)

Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time
by: Braverman, Vladimir, et al.
Published: (2024)

Learning-augmented Maximum Independent Set
by: Braverman, Vladimir, et al.
Published: (2024)

Transductive and Learning-Augmented Online Regression
by: Raman, Vinod, et al.
Published: (2025)

On the Price of Differential Privacy for Hierarchical Clustering
by: Deng, Chengyuan, et al.
Published: (2025)

Learning-Augmented Moment Estimation on Time-Decay Models
by: Nagawanshi, Soham, et al.
Published: (2026)

Learning-Augmented Search Data Structures
by: Fu, Chunkai, et al.
Published: (2024)

Relative Error Fair Clustering in the Weak-Strong Oracle Model
by: Braverman, Vladimir, et al.
Published: (2025)

Learning Augmented Graph $k$-Clustering
by: Fan, Chenglin, et al.
Published: (2025)

Learning-Augmented Streaming Algorithms for Correlation Clustering
by: Dong, Yinhao, et al.
Published: (2025)

Better Bounds for the Distributed Experts Problem
by: Woodruff, David P., et al.
Published: (2026)

Hierarchical Clustering via Local Search
by: Jowhari, Hossein
Published: (2024)

Average Sensitivity of Hierarchical $k$-Median Clustering
by: Li, Shijie, et al.
Published: (2025)

Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High dimensions
by: Cheng, Kangke, et al.
Published: (2026)

Towards Optimal Robustness in Learning-Augmented Paging
by: Chen, Peng, et al.
Published: (2026)

On the Power of Learning-Augmented Search Trees
by: Chen, Jingbang, et al.
Published: (2022)

Learning-Augmented Frequent Directions
by: Aamand, Anders, et al.
Published: (2025)

On Socially Fair Low-Rank Approximation and Column Subset Selection
by: Song, Zhao, et al.
Published: (2024)

Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency
by: Chen, Peng, et al.
Published: (2025)

Replicable Clustering
by: Esfandiari, Hossein, et al.
Published: (2023)

Robust Learning-Augmented Dictionaries
by: Zeynali, Ali, et al.
Published: (2024)

Learning-Augmented Algorithms with Explicit Predictors
by: Elias, Marek, et al.
Published: (2024)

On Approximability of $\ell_2^2$ Min-Sum Clustering
by: S., Karthik C., et al.
Published: (2024)

Learning-Augmented Algorithms for $k$-median via Online Learning
by: Hebbar, Anish, et al.
Published: (2026)

Prediction-Specific Design of Learning-Augmented Algorithms
by: Li, Sizhe, et al.
Published: (2025)

Parsimonious Learning-Augmented Online Metric Matching
by: Shin, Yongho, et al.
Published: (2026)

Learning-Augmented Frequency Estimation in Sliding Windows
by: Shahout, Rana, et al.
Published: (2024)

Learning-Augmented Online Scheduling with Parsimonious Preemption
by: Blue, Mugen, et al.
Published: (2026)

Simple KNN-Based Outlier Detection Achieves Robust Clustering
by: Jiang, Tianle, et al.
Published: (2026)

Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms
by: Angelopoulos, Spyros, et al.
Published: (2025)

Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
by: Angelopoulos, Spyros, et al.
Published: (2024)

Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
by: Lechowicz, Adam, et al.
Published: (2023)

Clustering to Minimize Cluster-Aware Norm Objectives
by: Herold, Martin G., et al.
Published: (2024)

Query-Efficient Correlation Clustering with Noisy Oracle
by: Kuroki, Yuko, et al.
Published: (2024)

Fair Submodular Cover
by: Chen, Wenjing, et al.
Published: (2024)

Learning-Augmented Online Bipartite Matching in the Random Arrival Order Model
by: Burathep, Kunanon, et al.
Published: (2025)

Learning-Augmented Ski Rental with Discrete Distributions: A Bayesian Approach
by: Kang, Bosun, et al.
Published: (2025)

Asymptotically Robust Learning-Augmented Algorithms for Preemptive FIFO Buffer Management
by: Hsieh, Wen-Han, et al.
Published: (2026)

Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion
by: Veldt, Nate, et al.
Published: (2026)

A Broader View on Clustering under Cluster-Aware Norm Objectives
by: Herold, Martin G., et al.
Published: (2025)