activity
20132024
most citedOn the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness

3 citations · 12 across the 11 of their papers we have counts for

collaborators

13 papers

cs.GT2024

Revenue Maximization in Choice-Based Matching Markets

Dan Nissim, Danny Segev, Alfredo Torrico

The primary contribution of this paper resides in devising constant-factor approximation guarantees for revenue maximization in two-sided matching markets with general pairwise rew…

cs.GT2024

Stable Matching with Contingent Priorities

Ignacio Rios, Federico Bobbio, Margarida Carvalho +1

Using school choice as a motivating example, we introduce a stylized model of a many-to-one matching market where the clearinghouse aims to implement contingent priorities, i.e., p…

cs.GT2024

Equitable Congestion Pricing under the Markovian Traffic Model: An Application to Bogota

Alfredo Torrico, Natthawut Boonsiriphatthanajaroen, Nikhil Garg +2

Congestion pricing is used to raise revenues and reduce traffic and pollution. However, people have heterogeneous spatial demand patterns and willingness (or ability) to pay tolls,…

math.OC2023★ 2 cited

The Dating Heuristic: A Provably Strong Matching Algorithm for Dating Platforms

Ignacio Rios, Alfredo Torrico

Motivated by online dating platforms, we study the problem of selecting which subset of profiles to display to each user in each period. Users observe the profiles set by the platf…

cs.CC2022★ 1 cited

Capacity Variation in the Many-to-one Stable Matching

Federico Bobbio, Margarida Carvalho, Andrea Lodi +1

The many-to-one stable matching problem provides the fundamental abstraction of several real-world matching markets such as school choice and hospital-resident allocation. The agen…

cs.GT2021★ 1 cited

Capacity Planning in Stable Matching

Federico Bobbio, Margarida Carvalho, Andrea Lodi +2

Motivated by the shortage of seats that the Chilean school choice system is facing, we introduce the problem of jointly increasing school capacities and finding a student-optimal a…

cs.DM2021

Preserving Diversity when Partitioning: A Geometric Approach

Sebastian Perez-Salazar, Alfredo Torrico, Victor Verdugo

Diversity plays a crucial role in multiple contexts such as team formation, representation of minority groups and generally when allocating resources fairly. Given a community comp…

cs.GT2020

Multi-agent Assortment Optimization in Sequential Matching Markets

Alfredo Torrico, Margarida Carvalho, Andrea Lodi

Motivated by the challenges faced by choice-based matching platforms, in this work, we study a generalization of the foundational model introduced by Ashlagi et al. (2022). Specifi…

cs.DS2020★ 3 cited

On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness

Alfredo Torrico, Mohit Singh, Sebastian Pokutta

Submodular maximization has been widely studied over the past decades, mostly because of its numerous applications in real-world problems. It is well known that the standard greedy…

cs.DS2018★ 1 cited

Efficient algorithms for robust submodular maximization under matroid constraints

Sebastian Pokutta, Mohit Singh, Alfredo Torrico

In this work, we consider robust submodular maximization with matroid constraints. We give an efficient bi-criteria approximation algorithm that outputs a small family of feasible…

cs.DS2017

Structured Robust Submodular Maximization: Offline and Online Algorithms

Alfredo Torrico, Mohit Singh, Sebastian Pokutta +4

Constrained submodular function maximization has been used in subset selection problems such as selection of most informative sensor locations. While these models have been quite p…

math.OC2017★ 1 cited

Dynamic Relaxations for Online Bipartite Matching

Alfredo Torrico, Alejandro Toriello

Online bipartite matching (OBM) is a fundamental model underpinning many important applications, including search engine advertisement, website banner and pop-up ads, and ride-hail…

math.OC2013★ 3 cited

Additive consistency of risk measures and its application to risk-averse routing in networks

Roberto Cominetti, Alfredo Torrico

This paper investigates the use of risk measures and theories of choice for modeling risk-averse route choice and traffic network equilibrium with random travel times. We interpret…