activity
20092026
most citedClustering with Noisy Queries

37 citations · 164 across the 32 of their papers we have counts for

collaborators

41 papers

cs.DS2026

Tree Edit Distance: Near-Linear-Time Approximate, Sublinear, and Dynamic

Bingbing Hu, Tomasz Kociumaka, Jakob Nogler +1

Tree edit distance (TED), the analog of string edit distance (ED) for hierarchical data, is the minimum number of node insertions, deletions, and substitutions transforming one lab…

cs.DS2026

Fairness in Aggregation: Optimal Top- and Improved Full Ranking

Diptarka Chakraborty, Arya Mazumdar, Barna Saha +1

Ensuring fairness in algorithmic ranking systems is a critical challenge with significant societal implications for hiring, recommendations, web search, and data management. Standa…

cs.DS2025

Dynamic Dyck and Tree Edit Distance: Decompositions and Reductions to String Edit Distance

Debarati Das, Jacob Gilbert, MohammadTaghi Hajiaghayi +2

We present the first dynamic algorithms for Dyck and tree edit distances with subpolynomial update times. Dyck edit distance measures how far a parenthesis string is from a well-pa…

cs.DS2025

Actively Learning Halfspaces without Synthetic Data

Hadley Black, Kasper Green Larsen, Arya Mazumdar +2

In the classic point location problem, one is given an arbitrary dataset of points with query access to an unknown halfspace $f : \mathbb{R}^d \to \{0,…

cs.DS2025

Learning Partitions with Optimal Query and Round Complexities

Hadley Black, Arya Mazumdar, Barna Saha

We consider the basic problem of learning an unknown partition of elements into at most sets using simple queries that reveal information about a small subset of elements.…

cs.DS2024

Clustering with Non-adaptive Subset Queries

Hadley Black, Euiwoong Lee, Arya Mazumdar +1

Recovering the underlying -clustering of a set of points by asking pair-wise same-cluster queries has garnered significant interest in the past few years. Given a query…