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Peer Selection with Noisy Assessments


Jul 21, 2021
Omer Lev, Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov

* 15 pages, 5 figures 

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Modeling Voters in Multi-Winner Approval Voting


Dec 04, 2020
Jaelle Scheuerman, Jason Harman, Nicholas Mattei, K. Brent Venable

* 9 pages, 4 figures. To be published in the Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021 

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Thinking Fast and Slow in AI


Oct 12, 2020
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava


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


Sep 05, 2020
Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao


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PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection


Apr 30, 2020
Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov

* 7 pages, 5 figures, submitted to IJCAI 2020 

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A Multi-Channel Neural Graphical Event Model with Negative Evidence


Feb 21, 2020
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei

* AAAI 2020 

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Group Fairness in Bandit Arm Selection


Dec 09, 2019
Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson


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Heuristic Strategies in Uncertain Approval Voting Environments


Nov 29, 2019
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable

* arXiv admin note: text overlap with arXiv:1905.12104 

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Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks


Nov 22, 2019
Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue


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Heuristics in Multi-Winner Approval Voting


May 30, 2019
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, K. Brent Venable


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Building Ethically Bounded AI


Dec 10, 2018
Francesca Rossi, Nicholas Mattei

* Published at AAAI Blue Sky Track, winner of Blue Sky Award 

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CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences


Sep 21, 2018
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, K. Brent Venable

* 8 pages, 5 figures, 4 tables 

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Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration


Sep 21, 2018
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush Varshney, Murray Campbell, Moninder Singh, Francesca Rossi

* 8 pages, 3 figures 

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Answering Science Exam Questions Using Query Rewriting with Background Knowledge


Sep 15, 2018
Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock

* 9 pages, 5 figures, 6 tables 

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Improving Natural Language Inference Using External Knowledge in the Science Questions Domain


Sep 15, 2018
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock

* 9 pages, 3 figures, 5 tables 

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Incorporating Behavioral Constraints in Online AI Systems


Sep 15, 2018
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi

* 9 pages, 6 figures 

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A Cost-Effective Framework for Preference Elicitation and Aggregation


Jul 07, 2018
Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey Kephart, Nicholas Mattei, Hui Su, Lirong Xia

* 12 pages, 5 figures 

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A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset


Jun 01, 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

* Presented at the Machine Reading for Question Answering (MRQA 2018) Workshop at the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2018). 11 pages, 5 tables, 4 figures 

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Strategyproof Peer Selection using Randomization, Partitioning, and Apportionment


Sep 29, 2017
Haris Aziz, Omer Lev, Nicholas Mattei, Jeffrey S. Rosenschein, Toby Walsh

* 1 Figure, Source Code available at https://github.com/nmattei/peerselection 

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The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods


May 19, 2017
Jing Wu Lian, Nicholas Mattei, Renee Noble, Toby Walsh

* 3 Figure 

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Ethical Considerations in Artificial Intelligence Courses


Jan 26, 2017
Emanuelle Burton, Judy Goldsmith, Sven Koenig, Benjamin Kuipers, Nicholas Mattei, Toby Walsh

* 29 pages including all case studies and links to video media on YouTube 

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Empirical Evaluation of Real World Tournaments


Aug 03, 2016
Nicholas Mattei, Toby Walsh

* 2 Figures 

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Interdependent Scheduling Games


May 31, 2016
Andres Abeliuk, Haris Aziz, Gerardo Berbeglia, Serge Gaspers, Petr Kalina, Nicholas Mattei, Dominik Peters, Paul Stursberg, Pascal Van Hentenryck, Toby Walsh

* Accepted to IJCAI 2016 

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A Study of Proxies for Shapley Allocations of Transport Costs


Aug 21, 2014
Haris Aziz, Casey Cahan, Charles Gretton, Phillip Kilby, Nicholas Mattei, Toby Walsh

* 51 Pages: 1-35 Main Document, 36-51 Appendices A--E 

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Computational Aspects of Multi-Winner Approval Voting


Jul 11, 2014
Haris Aziz, Serge Gaspers, Joachim Gudmundsson, Simon Mackenzie, Nicholas Mattei, Toby Walsh


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How Hard Is It to Control an Election by Breaking Ties?


May 29, 2014
Nicholas Mattei, Nina Narodytska, Toby Walsh

* Revised and expanded version including longer proofs and additional results 

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