activity
20172026
most citedEfficient Algorithms for k-Regret Minimizing Sets

22 citations · 48 across the 14 of their papers we have counts for

collaborators

19 papers

cs.DB2026

Weighted Set Multi-Cover on Bounded Universe and Applications in Package Recommendation

Nima Shahbazi, Aryan Esmailpour, Stavros Sintos

The weighted set multi-cover problem is a fundamental generalization of set cover that arises in data-driven applications where one must select a small, low-cost subset from a larg…

cs.DB2025

Subset Sampling over Joins

Aryan Esmailpour, Xiao Hu, Jinchao Huang +1

Subset sampling (also known as Poisson sampling), where the decision to include any specific element in the sample is made independently of all others, is a fundamental primitive i…

cs.DB2025

Space-Time Tradeoffs for Spatial Conjunctive Queries

Aryan Esmailpour, Xiao Hu, Stavros Sintos

Given a conjunctive query and a database instance, we aim to develop an index that can efficiently answer spatial queries on the results of a conjunctive query. We are interested i…

cs.DS2025

Clustering with Set Outliers and Applications in Relational Clustering

Vaishali Surianarayanan, Neeraj Kumar, Stavros Sintos

We introduce and study the -center clustering problem with set outliers, a natural and practical generalization of the classical -center clustering with outliers. Instead of…

cs.CV2024

Towards Causal Physical Error Discovery in Video Analytics Systems

Jinjin Zhao, Ted Shaowang, Stavos Sintos +1

Video analytics systems based on deep learning models are often opaque and brittle and require explanation systems to help users debug. Current model explanation system are very go…

cs.DS2024★ 3 cited

Fair Set Cover

Mohsen Dehghankar, Rahul Raychaudhury, Stavros Sintos +1

The potential harms of algorithmic decisions have ignited algorithmic fairness as a central topic in computer science. One of the fundamental problems in computer science is Set Co…

cs.DB2024

On Reporting Durable Patterns in Temporal Proximity Graphs

Pankaj K. Agarwal, Xiao Hu, Stavros Sintos +1

Finding patterns in graphs is a fundamental problem in databases and data mining. In many applications, graphs are temporal and evolve over time, so we are interested in finding du…

cs.DS2024

Computing Data Distribution from Query Selectivities

Pankaj K. Agarwal, Rahul Raychaudhury, Stavros Sintos +1

We are given a set , where each is a \emph{range} in , such as rectangle or ball, and denotes its \emph{se…

cs.DS2023

Range (Rényi) Entropy Queries and Partitioning

Aryan Esmailpour, Sanjay Krishnan, Stavros Sintos

Data partitioning that maximizes/minimizes the Shannon entropy, or more generally the Rényi entropy is a crucial subroutine in data compression, columnar storage, and cardinality e…

cs.DB2023

Finding Smallest Witnesses for Conjunctive Queries

Xiao Hu, Stavros Sintos

A witness is a sub-database that preserves the query results of the original database but of much smaller size. It has wide applications in query rewriting and debugging, query exp…

cs.CG2023

Fast Approximation Algorithms for Piercing Boxes by Points

Pankaj K. Agarwal, Sariel Har-Peled, Rahul Raychaudhury +1

$\newcommand{\popt}{\mathcal{p}} \newcommand{\Re}{\mathbb{R}}\newcommand{\N}{\mathcal{N}} \newcommand{\BX}{\mathcal{B}} \newcommand{\bb}{\mathsf{b}} \newcommand{\eps}{\varepsilon}…

cs.DB2022

JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing

Xi Liang, Stavros Sintos, Sanjay Krishnan

Approximate query processing over dynamic databases, i.e., under insertions/deletions, has applications ranging from high-frequency trading to internet-of-things analytics. We pres…

cs.DS2021

Dynamic Enumeration of Similarity Joins

Pankaj K. Agarwal, Xiao Hu, Stavros Sintos +1

This paper considers enumerating answers to similarity-join queries under dynamic updates: Given two sets of points in , a metric , and a distance…

cs.DB2021★ 1 cited

Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing

Xi Liang, Stavros Sintos, Zechao Shang +1

Sample-based approximate query processing (AQP) suffers from many pitfalls such as the inability to answer very selective queries and unreliable confidence intervals when sample si…

cs.DB2021

Durable Top-K Instant-Stamped Temporal Records with User-Specified Scoring Functions

Junyang Gao, Stavros Sintos, Pankaj K. Agarwal +1

A way of finding interesting or exceptional records from instant-stamped temporal data is to consider their "durability," or, intuitively speaking, how well they compare with other…

cs.CG2021

The Maximum Exposure Problem

Neeraj Kumar, Stavros Sintos, Subhash Suri

Given a set of points and axis-aligned rectangles in the plane, a point is called \emph{exposed} if it lies outside all rectangles in . In…

cs.DB2019★ 6 cited

Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise

Stavros Sintos, Pankaj K. Agarwal, Jun Yang

We study the optimization problem of selecting numerical quantities to clean in order to fact-check claims based on such data. Oftentimes, such claims are technically correct, but…

cs.DB2019★ 16 cited

Learning to Sample: Counting with Complex Queries

Brett Walenz, Stavros Sintos, Sudeepa Roy +1

We study the problem of efficiently estimating counts for queries involving complex filters, such as user-defined functions, or predicates involving self-joins and correlated subqu…

cs.DS2017★ 22 cited

Efficient Algorithms for k-Regret Minimizing Sets

Pankaj K. Agarwal, Nirman Kumar, Stavros Sintos +1

A regret minimizing set Q is a small size representation of a much larger database P so that user queries executed on Q return answers whose scores are not much worse than those on…