activity
20222026
collaborators

8 papers

cs.DS2026

A Better-than-2 Approximation for k-Median Part I: The Power of General Bids

Rares-Darius Buhai, Vincent Cohen-Addad, Henry Fleischmann +6

The Greedy algorithm of Jain, Mahdian, Markakis, Saberi, and Vazirani was the best Lagrangian-multiplier-preserving (LMP) approximation algorithm for facility location, and thus th…

cs.DS2026

A Better-than- Approximation for -Median Part II: Stable Instances

Rares-Darius Buhai, Vincent Cohen-Addad, Henry Fleischmann +6

We consider the -median problem on general metric spaces, subject to the condition that the instances are -stable (i.e., the optimal solution using centers has a cost a…

cs.DS2026

Space-Efficient Language Generation in the Limit

Nicolas Flammarion, Chirag Pabbaraju, Hristo Papazov +2

We initiate a resource-aware theory of \textit{language generation in the limit} under the minimal constraint of space efficiency. In our framework, a learner observes an adversari…

cs.LG2026

Retriever Portfolios: A Principled Approach to Adaptive RAG

Miltiadis Stouras, Vincent Cohen-Addad, Silvio Lattanzi +1

Retrieval-augmented generation (RAG) systems typically rely on a single retriever and a single set of hyperparameters, despite facing highly heterogeneous queries that range from s…

cs.DS2026

An Optimal Algorithm for Stochastic Vertex Cover

Jan van den Brand, Inge Li Gørtz, Chirag Pabbaraju +5

The goal in the stochastic vertex cover problem is to obtain an approximately minimum vertex cover for a graph that is realized by sampling each edge independently with s…

cs.DS2025

Online Two-Stage Submodular Maximization

Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis +1

Given a collection of monotone submodular functions, the goal of Two-Stage Submodular Maximization (2SSM) [Balkanski et al., 2016] is to restrict the ground set so an objective sel…

cs.DS2024

Data-Driven Solution Portfolios

Marina Drygala, Silvio Lattanzi, Andreas Maggiori +3

In this paper, we consider a new problem of portfolio optimization using stochastic information. In a setting where there is some uncertainty, we ask how to best select potenti…

cs.DS2022

Graph Connectivity with Noisy Queries

Dimitris Fotakis, Evangelia Gergatsouli, Charilaos Pipis +2

Graph connectivity is a fundamental combinatorial optimization problem that arises in many practical applications, where usually a spanning subgraph of a network is used for its op…