Nicholas Mattei

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 124

Top Venues

Publications

Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner
When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data. Auton. Agents Multi Agent Syst. 38 (2) (2024)
Omer Lev, Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov
PeerNomination: A novel peer selection algorithm to handle strategic and noisy assessments. Artif. Intell. 316 (2023)
Inbal Rozencweig, Reshef Meir, Nicholas Mattei, Ofra Amir
Mitigating Skewed Bidding for Conference Paper Assignment. AAMAS (2023)
Amanda Aird, Paresha Farastu, Joshua Sun, Amy Voida, Nicholas Mattei, Robin Burke
Dynamic fairness-aware recommendation through multi-agent social choice. CoRR (2023)
Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Value-based Fast and Slow AI Nudging. ETHAICS@IJCAI (2023)
Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng
Pandering in a (flexible) representative democracy. UAI (2023)
Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Value-based Fast and Slow AI Nudging. CoRR (2023)
Amanda Aird, Cassidy All, Paresha Farastu, Elena Stefancova, Joshua Sun, Nicholas Mattei, Robin Burke
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF. CoRR (2023)
Emanuelle Burton, Judy Goldsmith, Nicholas Mattei, Cory Siler, Sara-Jo Swiatek
Teaching Computer Science Ethics Using Science Fiction. SIGCSE (2) (2023)
Ben Abramowitz, Nicholas Mattei
Social Mechanism Design: A Low-Level Introduction. AAMAS (2023)
Jessie J. Smith, Anas Buhayh, Anushka Kathait, Pradeep Ragothaman, Nicholas Mattei, Robin Burke, Amy Voida
The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation. FAccT (2023)
Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng
Does Delegating Votes Protect Against Pandering Candidates? AAMAS (2023)
Linsen Li, Aron Culotta, Douglas N. Harris, Nicholas Mattei
Online Reviews Are Leading Indicators of Changes in K-12 School Attributes. WWW (2023)
Haris Aziz, Xin Huang, Nicholas Mattei, Erel Segal-Halevi
Computing welfare-Maximizing fair allocations of indivisible goods. Eur. J. Oper. Res. 307 (2) (2023)
Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck
SIGAI Annual Report: July 1 2022 - August 30 2023. AI Matters 9 (3) (2023)
Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck
SIGAI Annual Report: July 1 2021 - June 30 2022. AI Matters 8 (3) (2022)
Ben Abramowitz, Nicholas Mattei
Social Mechanism Design: A Low-Level Introduction. CoRR (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments. NeSy (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. CoRR (2022)
Haris Aziz, Péter Biró, Tamás Fleiner, Serge Gaspers, Ronald de Haan, Nicholas Mattei, Baharak Rastegari
Stable matching with uncertain pairwise preferences. Theor. Comput. Sci. 909 (2022)
Ben Abramowitz, Nicholas Mattei
Towards Group Learning: Distributed Weighting of Experts. CoRR (2022)
Arie Glazier, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Kristen Brent Venable
Learning Behavioral Soft Constraints from Demonstrations. CoRR (2022)
Robin Burke, Nicholas Mattei, Vladislav Grozin, Amy Voida, Nasim Sonboli
Multi-agent Social Choice for Dynamic Fairness-aware Recommendation. UMAP (Adjunct Publication) (2022)
Paresha Farastu, Nicholas Mattei, Robin Burke
Who Pays? Personalization, Bossiness and the Cost of Fairness. CoRR (2022)
Ben Abramowitz, Nicholas Mattei
Weighting Experts with Inaccurate Judges. CoRR (2022)
Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng
Pandering in a Flexible Representative Democracy. CoRR (2022)
Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Making Human-Like Moral Decisions. AIES (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Thinking Fast and Slow in AI: The Role of Metacognition. LOD (2) (2022)
Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson
Group Fairness in Bandits with Biased Feedback. AAMAS (2022)
Nicholas Mattei, Sanmay Das
Call for nominations: 2022 SIGAI industry award. AI Matters 8 (1) (2022)
Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data. CoRR (2022)
Cristina Cornelio, Judy Goldsmith, Umberto Grandi, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
Reasoning with PCP-Nets. J. Artif. Intell. Res. 72 (2021)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Thinking Fast and Slow in AI: the Role of Metacognition. CoRR (2021)
Omer Lev, Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov
Peer Selection with Noisy Assessments. CoRR (2021)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. TFSOCTAI@AAAI Fall Symposium (2021)
Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett
Causal Inference for Event Pairs in Multivariate Point Processes. NeurIPS (2021)
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable
Modeling Voters in Multi-Winner Approval Voting. AAAI (2021)
Arie Glazier, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Kristen Brent Venable
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations. CoRR (2021)
Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne, Alan Tsang
SIGAI annual report: July 1 2020 - June 30 2021. AI Matters 7 (3) (2021)
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
Thinking Fast and Slow in AI. AAAI (2021)
Reshef Meir, Jérôme Lang, Julien Lesca, Nicholas Mattei, Natan Kaminsky
A Market-Inspired Bidding Scheme for Peer Review Paper Assignment. AAAI (2021)
Andrea Martin, Kristen Brent Venable, Nicholas Mattei
Behavioral Stable Marriage Problems. DAI (2021)
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
Thinking Fast and Slow in AI. CoRR (2020)
Haris Aziz, Péter Biró, Serge Gaspers, Ronald de Haan, Nicholas Mattei, Baharak Rastegari
Stable Matching with Uncertain Linear Preferences. Algorithmica 82 (5) (2020)
Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian
Cause-Effect Association between Event Pairs in Event Datasets. IJCAI (2020)
Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij P. Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. AAAI (2020)
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei
A Multi-Channel Neural Graphical Event Model with Negative Evidence. AAAI (2020)
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable
Heuristic Strategies in Uncertain Approval Voting Environments. AAMAS (2020)
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei
A Multi-Channel Neural Graphical Event Model with Negative Evidence. CoRR (2020)
Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation. CoRR (2020)
Nicholas Mattei
Closing the Loop: Bringing Humans into Empirical Computational Social Choice and Preference Reasoning. IJCAI (2020)
Candice Schumann, Jeffrey S. Foster, Nicholas Mattei, John P. Dickerson
We Need Fairness and Explainability in Algorithmic Hiring. AAMAS (2020)
Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection. CoRR (2020)
Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection. IJCAI (2020)
Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian
Event-Driven Continuous Time Bayesian Networks. AAAI (2020)
Andrea Loreggia, Nicholas Mattei, Stefano Quintarelli
Artificial Intelligence Research for Fighting Political Polarisation: A Research Agenda. IFDaD (2020)
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable
Modeling Voters in Multi-Winner Approval Voting. CoRR (2020)
Haris Aziz, Xin Huang, Nicholas Mattei, Erel Segal-Halevi
Computing Fair Utilitarian Allocations of Indivisible Goods. CoRR (2020)
Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne
SIGAI annual report: July 1 2019 - June 30 2020. AI Matters 6 (2) (2020)
Haris Aziz, Xin Huang, Nicholas Mattei, Erel Segal-Halevi
The Constrained Round Robin Algorithm for Fair and Efficient Allocation. CoRR (2019)
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable
Heuristics in Multi-Winner Approval Voting. CoRR (2019)
Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
Answering Science Exam Questions Using Query Reformulation with Background Knowledge. AKBC (2019)
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
Incorporating Behavioral Constraints in Online AI Systems. AAAI (2019)
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
CPMetric: Deep Siamese Networks for Metric Learning on Structured Preferences. IJCAI (2019)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. IJCAI (2019)
Francesca Rossi, Nicholas Mattei
Building Ethically Bounded AI. AAAI (2019)
Rohith Dwarakanath Vallam, Ramasuri Narayanam, Srikanth G. Tamilselvam, Nicholas Mattei, Sudhanshu S. Singh, Shweta Garg, Gyana R. Parija
DeepAggregation: A New Approach for Aggregating Incomplete Ranked Lists using Multi-Layer Graph Embedding. AAMAS (2019)
Haris Aziz, Omer Lev, Nicholas Mattei, Jeffrey S. Rosenschein, Toby Walsh
Strategyproof peer selection using randomization, partitioning, and apportionment. Artif. Intell. 275 (2019)
Enrico H. Gerding, Alvaro Perez-Diaz, Haris Aziz, Serge Gaspers, Antonia Marcu, Nicholas Mattei, Toby Walsh
Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging. IJCAI (2019)
Emanuelle Burton, Kristel Clayville, Judy Goldsmith, Nicholas Mattei
The Heart of the Matter: Patient Autonomy as a Model for the Wellbeing of Technology Users. AIES (2019)
Ben Abramowitz, Nicholas Mattei
Flexible Representative Democracy: An Introduction with Binary Issues. IJCAI (2019)
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI (2019)
Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson
Group Fairness in Bandit Arm Selection. CoRR (2019)
Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij P. Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. CoRR (2019)
Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Iolanda Leite, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Marion Neumann, Plamen Petrov, Michael Rovatsos, David G. Stork
ACM SIGAI activity report. AI Matters 5 (3) (2019)
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable
Heuristic Strategies in Uncertain Approval Voting Environments. CoRR (2019)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM J. Res. Dev. 63 (4/5) (2019)
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
Metric Learning for Value Alignment. AISafety@IJCAI (2019)
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
Using multi-armed bandits to learn ethical priorities for online AI systems. IBM J. Res. Dev. 63 (4/5) (2019)
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation. IJCAI (2018)
Haris Aziz, Serge Gaspers, Simon Mackenzie, Nicholas Mattei, Paul Stursberg, Toby Walsh
Fixing balanced knockout and double elimination tournaments. Artif. Intell. 262 (2018)
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
Preferences and Ethical Principles in Decision Making. AIES (2018)
Emanuelle Burton, Kristel Clayville, Judy Goldsmith, Nicholas Mattei
The Heart of the Matter: Patient Autonomy as a Model for the Wellbeing of Technology Users. AAAI Spring Symposia (2018)
Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey O. Kephart, Nicholas Mattei, Hui Su, Lirong Xia
A Cost-Effective Framework for Preference Elicitation and Aggregation. UAI (2018)
Jing Wu Lian, Nicholas Mattei, Renee Noble, Toby Walsh
The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods. AAAI (2018)
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
Preferences and Ethical Principles in Decision Making. AAAI Spring Symposia (2018)
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable
CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences. CoRR (2018)
Sven Koenig, Sanmay Das, Rosemary D. Paradis, Michael Rovatsos, Nicholas Mattei
Call for proposals: artificial intelligence activities fund. AI Matters 4 (4) (2018)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration. CoRR (2018)
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL (2018)
Nicholas Mattei
2018 ACM SIGAI student essay contest on artificial intelligence technologies. AI Matters 4 (3) (2018)
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR (2018)
Emanuelle Burton, Judy Goldsmith, Nicholas Mattei
How to teach computer ethics through science fiction. Commun. ACM 61 (8) (2018)
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi
Incorporating Behavioral Constraints in Online AI Systems. CoRR (2018)
Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Plamen Petrov, Michael Rovatsos, David G. Stork
ACM SIGAI activity report. AI Matters 4 (3) (2018)
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
An Interface for Annotating Science Questions. EMNLP (Demonstration) (2018)
Francesca Rossi, Nicholas Mattei
Building Ethically Bounded AI. CoRR (2018)
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR (2018)
Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, Kristen Brent Venable, Neal Wagner, Anna Zamansky
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39 (4) (2018)
John P. Dickerson, Nicholas Mattei
AAAI/ACM SIGAI job fair 2018: a retrospective. AI Matters 4 (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicholas Mattei