activity
20232026
collaborators

7 papers

cs.DS2026

Sketching Intersection Profiles: A Simple Proof and Three Applications

Flavio Chierichetti, Mirko Giacchini, Ravi Kumar +3

In this work we settle the complexity of three sketching problems. (i) We show that sketching vertex neighborhood sizes in graphs requires bits, standing in sharp contrast…

cs.DS2026

On the LSH Distortion of Ulam and Cayley Similarities

Flavio Chierichetti, Mirko Giacchini, Ravi Kumar +1

Locality-sensitive hashing (LSH) has found widespread use as a fundamental primitive, particularly to accelerate nearest neighbor search. An LSH scheme for a similarity function $S…

cs.DS2026

Learning Multinomial Logits in time

Flavio Chierichetti, Mirko Giacchini, Ravi Kumar +4

A Multinomial Logit (MNL) model is composed of a finite universe of items , each assigned a positive weight. A query specifies an admissible subset -- called a sl…

cs.CC2025

Man, these New York Times games are hard! A computational perspective

Alessandro Giovanni Alberti, Flavio Chierichetti, Mirko Giacchini +3

The New York Times (NYT) games have found widespread popularity in recent years and reportedly account for an increasing fraction of the newspaper's readership. In this paper, we b…

cs.DS2025

A New Impossibility Result for Online Bipartite Matching Problems

Flavio Chierichetti, Mirko Giacchini, Alessandro Panconesi +1

Online Bipartite Matching with random user arrival is a fundamental problem in the online advertisement ecosystem. Over the last 30 years, many algorithms and impossibility results…

cs.CC2024

Coordinating "7 Billion Humans" is hard

Alessandro Panconesi, Pietro Maria Posta, Mirko Giacchini

In the video game "7 Billion Humans", the player is requested to direct a group of workers to various destinations by writing a program that is executed simultaneously on each work…

cs.LG2023

Approximating a RUM from Distributions on k-Slates

Flavio Chierichetti, Mirko Giacchini, Ravi Kumar +2

In this work we consider the problem of fitting Random Utility Models (RUMs) to user choices. Given the winner distributions of the subsets of size of a universe, we obtain a p…