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Barton E. Lee

dblp:209/9540 · also Barton Lee · DBLP profile ↗
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7ranked-venue papers
1as first author
3since 2021 · last 2024
0000-0002-0109-7356ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 since 2021Human-computer interaction and ubiquitous computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Algorithmic game theory and mechanism design · 65% Approximation and online algorithms · 20% Computational complexity · 10%

Topics — the 11 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › social choice › computational social choice
multiwinner voting
0.512021
Proportionally Representative Participatory Budgeting with Ordinal Preferences · AAAI 2021
Algorithmic game theory and mechanism design › social choice
participatory budgeting
0.512021
Proportionally Representative Participatory Budgeting with Ordinal Preferences · AAAI 2021
Algorithmic game theory and mechanism design › social choice
proportional representation
0.512021
Proportionally Representative Participatory Budgeting with Ordinal Preferences · AAAI 2021
Algorithmic game theory and mechanism design
social choice
0.512021
Proportionally Representative Participatory Budgeting with Ordinal Preferences · AAAI 2021
Approximation and online algorithms › facility location
capacitated facility location
0.412020
Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives · AAAI 2020
Approximation and online algorithms
facility location
0.412020
Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives · AAAI 2020
Computational complexity › parameterized complexity
fixed-parameter tractability
0.412020
Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives · AAAI 2020
Algorithmic game theory and mechanism design
mechanism design
0.412020
Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives · AAAI 2020
Algorithmic game theory and mechanism design › mechanism design
truthful mechanism
0.412020
Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives · AAAI 2020
Mathematical optimization
discrete optimization
0.112020
Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives · AAAI 2020
Mathematical optimization › combinatorial optimization
NP-hard optimization
0.112020
Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives · AAAI 2020

Methods — techniques the papers use, named apart from their topics

polynomial-time algorithm design · 0.5axiomatic analysis · 0.5mechanism design · 0.4fixed-parameter tractable algorithm · 0.4approximation algorithm · 0.4
YearPublicationVenuePosition
2024 Proportionally Representative Clustering
Haris Aziz 0001, Barton E. Lee, Sean Morota Chu, Jeremy Vollen
WINE2
2022 Strategyproof and Proportionally Fair Facility Location
Haris Aziz 0001, Alexander Lam, Barton E. Lee, Toby Walsh
WINE3
2021 Proportionally Representative Participatory Budgeting with Ordinal Preferences
abstract
Participatory budgeting (PB) is a democratic paradigm whereby voters decide on a set of projects to fund with a limited budget. We consider PB in a setting where voters report ordinal preferences over projects and have (possibly) asymmetric weights. We propose proportional representation axioms and clarify how they fit into other preference aggregation settings, such as multi-winner voting and approval-based multi-winner voting. As a result of our study, we also discover a new solution concept for approval-based multi-winner voting, which we call Inclusion PSC (IPSC). IPSC is stronger than proportional justified representation (PJR), incomparable to extended justified representation (EJR), and yet compatible with EJR. The well-studied Proportional Approval Voting (PAV) rule produces a committee that satisfies both EJR and IPSC; however, both these axioms can also be satisfied by an algorithm that runs in polynomial-time.
Haris Aziz 0001, Barton E. Lee
AAAI2
2020 Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives
abstract
We consider the facility location problem in the one-dimensional setting where each facility can serve a limited number of agents from the algorithmic and mechanism design perspectives. From the algorithmic perspective, we prove that the corresponding optimization problem, where the goal is to locate facilities to minimize either the total cost to all agents or the maximum cost of any agent is NP-hard. However, we show that the problem is fixed-parameter tractable, and the optimal solution can be computed in polynomial time whenever the number of facilities is bounded, or when all facilities have identical capacities. We then consider the problem from a mechanism design perspective where the agents are strategic and need not reveal their true locations. We show that several natural mechanisms studied in the uncapacitated setting either lose strategyproofness or a bound on the solution quality %on the returned solution for the total or maximum cost objective. We then propose new mechanisms that are strategyproof and achieve approximation guarantees that almost match the lower bounds.
Haris Aziz 0001, Hau Chan, Barton E. Lee, Bo Li 0037, Toby Walsh
AAAI3
2019 The Capacity Constrained Facility Location Problem
Haris Aziz 0001, Hau Chan, Barton E. Lee, David C. Parkes
WINE3
2018 Sub-committee Approval Voting and Generalized Justified Representation Axioms
abstract
Social choice is replete with various settings including single-winner voting, multi-winner voting, probabilistic voting, multiple referenda, and public decision making. We study a general model of social choice called sub-committee voting (SCV) that simultaneously generalizes these settings. We then focus on sub-committee voting with approvals and propose extensions of the justified representation axioms that have been considered for proportional representation in approval-based committee voting. We study the properties and relations of these axioms. For each of the axioms, we analyze whether a representative committee exists and also examine the complexity of computing and verifying such a committee.
Haris Aziz 0001, Barton E. Lee
AIES2
2018 A Win for Society! Conquering Barriers to Fair Elections
abstract
Social choice is a general framework used in the aggregation of agent preferences to make a collective decision, political elections whereby agents vote is a common example. It is often the case that society demands electoral systems which ensure, or election outcomes which satisfy, socially desirable outcomes such as representing large minorities and avoiding the 'tyranny of the majority'. Unfortunately, there are many natural barriers which may prevent desirable outcomes from being achieved. These barriers include the non-existence or computational intractability of achieving desirable outcomes, especially when combined with additional feasibility constraints, and the effect of strategic or manipulative agents. This thesis aims to improve our understanding of the scale of these barriers and if, or how, they can be overcome to provide socially desirable outcomes.
Barton E. Lee
AIES1