Nicholas Mattei

Orcid: 0000-0002-3569-4335

Affiliations:
  • Tulane University, USA


According to our database1, Nicholas Mattei authored at least 130 papers between 2011 and 2023.

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Bibliography

2023
SIGAI Annual Report: July 1 2022 - August 30 2023.
AI Matters, September, 2023

Computing welfare-Maximizing fair allocations of indivisible goods.
Eur. J. Oper. Res., June, 2023

PeerNomination: A novel peer selection algorithm to handle strategic and noisy assessments.
Artif. Intell., March, 2023

Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF.
CoRR, 2023

Dynamic fairness-aware recommendation through multi-agent social choice.
CoRR, 2023

Online Reviews Are Leading Indicators of Changes in K-12 School Attributes.
Proceedings of the ACM Web Conference 2023, 2023

Pandering in a (flexible) representative democracy.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Teaching Computer Science Ethics Using Science Fiction.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Value-based Fast and Slow AI Nudging.
Proceedings of the Workshop on Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches (ETHAICS 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) Macao, 2023

Does Delegating Votes Protect Against Pandering Candidates?
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Mitigating Skewed Bidding for Conference Paper Assignment.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Social Mechanism Design: A Low-Level Introduction.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
SIGAI Annual Report: July 1 2021 - June 30 2022.
AI Matters, September, 2022

Stable matching with uncertain pairwise preferences.
Theor. Comput. Sci., 2022

Weighting Experts with Inaccurate Judges.
CoRR, 2022

Who Pays? Personalization, Bossiness and the Cost of Fairness.
CoRR, 2022

Towards Group Learning: Distributed Weighting of Experts.
CoRR, 2022

Learning Behavioral Soft Constraints from Demonstrations.
CoRR, 2022

When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data.
CoRR, 2022

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.
CoRR, 2022

Call for nominations: 2022 SIGAI industry award.
AI Matters, 2022

Multi-agent Social Choice for Dynamic Fairness-aware Recommendation.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments.
Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Thinking Fast and Slow in AI: The Role of Metacognition.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Group Fairness in Bandits with Biased Feedback.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Making Human-Like Moral Decisions.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
Reasoning with PCP-Nets.
J. Artif. Intell. Res., 2021

Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations.
CoRR, 2021

Peer Selection with Noisy Assessments.
CoRR, 2021

SIGAI annual report: July 1 2020 - June 30 2021.
AI Matters, 2021

Causal Inference for Event Pairs in Multivariate Point Processes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Behavioral Stable Marriage Problems.
Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

Modeling Voters in Multi-Winner Approval Voting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Market-Inspired Bidding Scheme for Peer Review Paper Assignment.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Thinking Fast and Slow in AI.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Computing Fair Utilitarian Allocations of Indivisible Goods.
CoRR, 2020

"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation.
CoRR, 2020

Stable Matching with Uncertain Linear Preferences.
Algorithmica, 2020

SIGAI annual report: July 1 2019 - June 30 2020.
AI Matters, 2020

PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Closing the Loop: Bringing Humans into Empirical Computational Social Choice and Preference Reasoning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Cause-Effect Association between Event Pairs in Event Datasets.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Artificial Intelligence Research for Fighting Political Polarisation: A Research Agenda.
Proceedings of the First International Forum on Digital and Democracy. Towards A Sustainable Evolution 2020, 2020

We Need Fairness and Explainability in Algorithmic Hiring.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Heuristic Strategies in Uncertain Approval Voting Environments.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Multi-Channel Neural Graphical Event Model with Negative Evidence.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Event-Driven Continuous Time Bayesian Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Teaching AI agents ethical values using reinforcement learning and policy orchestration.
IBM J. Res. Dev., 2019

Using multi-armed bandits to learn ethical priorities for online AI systems.
IBM J. Res. Dev., 2019

Group Fairness in Bandit Arm Selection.
CoRR, 2019

The Constrained Round Robin Algorithm for Fair and Efficient Allocation.
CoRR, 2019

Heuristics in Multi-Winner Approval Voting.
CoRR, 2019

ACM SIGAI activity report.
AI Matters, 2019

Strategyproof peer selection using randomization, partitioning, and apportionment.
Artif. Intell., 2019

CPMetric: Deep Siamese Networks for Metric Learning on Structured Preferences.
Proceedings of the Artificial Intelligence. IJCAI 2019 International Workshops, 2019

Metric Learning for Value Alignment.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Flexible Representative Democracy: An Introduction with Binary Issues.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DeepAggregation: A New Approach for Aggregating Incomplete Ranked Lists using Multi-Layer Graph Embedding.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Answering Science Exam Questions Using Query Reformulation with Background Knowledge.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Building Ethically Bounded AI.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Incorporating Behavioral Constraints in Online AI Systems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences.
CoRR, 2018

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration.
CoRR, 2018

Answering Science Exam Questions Using Query Rewriting with Background Knowledge.
CoRR, 2018

How to teach computer ethics through science fiction.
Commun. ACM, 2018

2018 ACM SIGAI student essay contest on artificial intelligence technologies.
AI Matters, 2018

1st AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society: a retrospective.
AI Matters, 2018

Call for proposals: artificial intelligence activities fund.
AI Matters, 2018

ACM SIGAI activity report.
AI Matters, 2018

AAAI/ACM SIGAI job fair 2018: a retrospective.
AI Matters, 2018

Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence.
AI Mag., 2018

Fixing balanced knockout and double elimination tournaments.
Artif. Intell., 2018

A Cost-Effective Framework for Preference Elicitation and Aggregation.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An Interface for Annotating Science Questions.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

On the Distance Between CP-nets.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Fairness in Deceased Organ Matching.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

Preferences and Ethical Principles in Decision Making.
Proceedings of the 2018 AAAI Spring Symposia, 2018

The Heart of the Matter: Patient Autonomy as a Model for the Wellbeing of Technology Users.
Proceedings of the 2018 AAAI Spring Symposia, 2018

The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Uniform Random Generation and Dominance Testing for CP-Nets.
J. Artif. Intell. Res., 2017

ACM SIGAI activity report.
AI Matters, 2017

Ethical Considerations in Artificial Intelligence Courses.
AI Mag., 2017

Mechanisms for Online Organ Matching.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
A Study of Proxies for Shapley Allocations of Transport Costs.
J. Artif. Intell. Res., 2016

Empirical Evaluation of Real World Tournaments.
CoRR, 2016

Strategyproof Peer Selection.
CoRR, 2016

Interdependent Scheduling Games.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Egalitarianism of Random Assignment Mechanisms: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Using "The Machine Stops" for Teaching Ethics in Artificial Intelligence and Computer Science.
Proceedings of the AI, 2016

Strategyproof Peer Selection: Mechanisms, Analyses, and Experiments.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Generating CP-Nets Uniformly at Random.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
On the complexity of bribery and manipulation in tournaments with uncertain information.
J. Appl. Log., 2015

Egalitarianism of Random Assignment Mechanisms.
CoRR, 2015

Who is watching you eat?: a noir preferences thriller.
AI Matters, 2015

Equilibria Under the Probabilistic Serial Rule.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Reasoning with PCP-nets in a Multi-Agent Context.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Manipulating the Probabilistic Serial Rule.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Beyond Theory and Data in Preference Modeling: Bringing Humans into the Loop.
Proceedings of the Algorithmic Decision Theory - 4th International Conference, 2015

Teaching AI Ethics Using Science Fiction.
Proceedings of the Artificial Intelligence and Ethics, 2015

2014
Review of who's bigger?: where historical figures really rank by Steven Skiena and Charles B. Ward.
SIGACT News, 2014

Review of who's #1?: the science of ranking and rating by Amy N. Langville and Carl D. Meyer.
SIGACT News, 2014

Fiction as an Introduction to Computer Science Research.
ACM Trans. Comput. Educ., 2014

The complexity of probabilistic lobbying.
Discret. Optim., 2014

Strategic aspects of the probabilistic serial rule for the allocation of goods.
CoRR, 2014

How Hard Is It to Control an Election by Breaking Ties?
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Who is Watching You Eat?
Proceedings of the Multidisciplinary Workshop on Advances in Preference Handling, 2014

Voting with Rank Dependent Scoring Rules.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Fixing a Balanced Knockout Tournament.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Computational Aspects of Multi-Winner Approval Voting.
Proceedings of the Multidisciplinary Workshop on Advances in Preference Handling, 2014

Counting, Ranking, and Randomly Generating CP-Nets.
Proceedings of the Multidisciplinary Workshop on Advances in Preference Handling, 2014

2013
An English-Language Argumentation Interface for Explanation Generation with Markov Decision Processes in the Domain of Academic Advising.
ACM Trans. Interact. Intell. Syst., 2013

Lessons Learned from Creating a Course Advising Tool.
CoRR, 2013

A behavioral perspective on social choice.
Ann. Math. Artif. Intell., 2013

Bribery in voting with CP-nets.
Ann. Math. Artif. Intell., 2013

Updates and Uncertainty in CP-Nets.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

PrefLib: A Library for Preferences http://www.preflib.org.
Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

Ties Matter: Complexity of Manipulation when Tie-Breaking with a Random Vote.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Bribery in voting over combinatorial domains is easy.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

On the Complexity of Bribery and Manipulation in Tournaments with Uncertain Information.
Proceedings of the Machine Aggregation of Human Judgment, 2012

2011
Decision Making under Uncertainty: Social Choice and Manipulation.
Proceedings of the IJCAI 2011, 2011

A Natural Language Argumentation Interface for Explanation Generation in Markov Decision Processes.
Proceedings of the Explanation-aware Computing, 2011

Science Fiction as an Introduction to AI Research.
Proceedings of the Second Symposium on Education Advances in Artificial Intelligence, 2011

Empirical Evaluation of Voting Rules with Strictly Ordered Preference Data.
Proceedings of the Algorithmic Decision Theory - Second International Conference, 2011


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