42 citations · 174 across the 28 of their papers we have counts for
6 papers · 1 filter
Understanding the Interplay between Memorization and Learning in Large Language Models
Bishwamittra Ghosh, Soumi Das, Qinyuan Wu +4
We investigate foundational questions about the interplay between memorization and learning in large language models (LLMs). When an LLM generates a string, can we disentangle the…
A QUBO Framework for Team Formation
Karan Vombatkere, Evimaria Terzi, Theodoros Lappas
The team formation problem assumes a set of experts and a task, where each expert has a set of skills and the task requires some skills. The objective is to find a set of experts t…
FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness
Christos Fragkathoulas, Vasiliki Papanikou, Evaggelia Pitoura +1
Counterfactual explanations assess unfairness by revealing how inputs must change to achieve a desired outcome. This paper introduces the first graph-based framework for generating…
Online Submodular Maximization via Online Convex Optimization
Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou +2
We study monotone submodular maximization under general matroid constraints in the online setting. We prove that online optimization of a large class of submodular functions, namel…
Matrix completion with queries
Natali Ruchansky, Mark Crovella, Evimaria Terzi
In many applications, e.g., recommender systems and traffic monitoring, the data comes in the form of a matrix that is only partially observed and low rank. A fundamental data-anal…
Targeted matrix completion
Natali Ruchansky, Mark Crovella, Evimaria Terzi
Matrix completion is a problem that arises in many data-analysis settings where the input consists of a partially-observed matrix (e.g., recommender systems, traffic matrix analysi…