Samson Zhou

Distributed Algorithms for Euclidean Clustering

Consistent Low-Rank Approximation

Learning-Augmented Moment Estimation on Time-Decay Models

Nearly Space-Optimal Graph and Hypergraph Sparsification in Insertion-Only Data Streams

Transductive and Learning-Augmented Online Regression

Towards Sampling Data Structures for Tensor Products in Turnstile Streams

Online Learning with Recency: Algorithms for Sliding-window Streaming Multi-armed Bandits

Better Bounds for the Distributed Experts Problem

Online Low-Rank Approximation via Adaptive Spherical Partitioning

Data Selection and Active Learning via Low-Rank Approximation

Fair Clustering in the Sliding Window Model

Learning-Augmented Search Data Structures

On the Price of Differential Privacy for Hierarchical Clustering

Learning-Augmented Hierarchical Clustering

Fair Submodular Cover

On Fine-Grained Distinct Element Estimation

Clustering on Skewed Cost Distributions

Relative Error Fair Clustering in the Weak-Strong Oracle Model

Learning-Augmented Learning of Gaussian Mixture Models

Towards Sampling Data Structures for Tensor Products