JAIR 2021
104 papers
A Tight Bound for Stochastic Submodular Cover
Lisa Hellerstein, Devorah Kletenik, Srinivasan Parthasarathy Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies
Roberto Capobianco, Varun Raj Kompella, James Ault, Guni Sharon, Stacy Jong, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone An External Knowledge Enhanced Graph-Based Neural Network for Sentence Ordering
Yongjing Yin, Shaopeng Lai, Linfeng Song, Chulun Zhou, Xianpei Han, Junfeng Yao, Jinsong Su Bribery and Control in Stable Marriage
Niclas Boehmer, Robert Bredereck, Klaus Heeger, Rolf Niedermeier Classifier Chains: A Review and Perspectives
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank Constraint-Based Diversification of JOP Gadgets
Rodothea-Myrsini Tsoupidi, Roberto Castañeda Lozano, Benoit Baudry Contrastive Explanations of Plans Through Model Restrictions
Benjamin Krarup, Senka Krivic, Daniele Magazzeni, Derek Long, Michael Cashmore, David E. Smith Efficient Large-Scale Multi-Drone Delivery Using Transit Networks
Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models
Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague Flexible Bayesian Nonlinear Model Configuration
Aliaksandr Hubin, Geir Storvik, Florian Frommlet Game Plan: What AI Can Do for Football, and What Football Can Do for AI
Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis General Value Function Networks
Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White Graph Kernels: A Survey
Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis Induction and Exploitation of Subgoal Automata for Reinforcement Learning
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo Labeled Bipolar Argumentation Frameworks
Melisa Gisselle Escañuela Gonzalez, Maximiliano Celmo David Budán, Gerardo I. Simari, Guillermo Ricardo Simari Learning from Disagreement: A Survey
Alexandra Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio Learning Optimal Decision Sets and Lists with SAT
Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Pierre Le Bodic Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation
Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn Liquid Democracy: An Algorithmic Perspective
Anson Kahng, Simon Mackenzie, Ariel D. Procaccia Loss Functions, Axioms, and Peer Review
Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia MADRaS : Multi Agent Driving Simulator
Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks
Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, Emilia Gómez NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models
Greg M. Silverman, Himanshu S. Sahoo, Nicholas Ingraham, Monica Lupei, Michael A. Puskarich, Michael Usher, James Dries, Raymond L. Finzel, Eric Murray, John Sartori, György J. Simon, Rui Zhang, Genevieve B. Melton, Christopher J. Tignanelli, Serguei V. S. Pakhomov On Super Strong ETH
Nikhil Vyas, R. Ryan Williams On the Distortion Value of Elections with Abstention
Masoud Seddighin, Mohamad Latifian, Mohammad Ghodsi On the Online Coalition Structure Generation Problem
Michele Flammini, Gianpiero Monaco, Luca Moscardelli, Mordechai Shalom, Shmuel Zaks Optimally Deceiving a Learning Leader in Stackelberg Games
Georgios Birmpas, Jiarui Gan, Alexandros Hollender, Francisco J. Marmolejo Cossío, Ninad Rajgopal, Alexandros A. Voudouris Playing Codenames with Language Graphs and Word Embeddings
Divya Koyyalagunta, Anna Y. Sun, Rachel Lea Draelos, Cynthia Rudin Reasoning with PCP-Nets
Cristina Cornelio, Judy Goldsmith, Umberto Grandi, Nicholas Mattei, Francesca Rossi, K. Brent Venable Regarding Goal Bounding and Jump Point Search
Yue Hu, Daniel Harabor, Long Qin, Quanjun Yin Representative Committees of Peers
Reshef Meir, Fedor Sandomirskiy, Moshe Tennenholtz Safe Multi-Agent Pathfinding with Time Uncertainty
Tomer Shahar, Shashank Shekhar, Dor Atzmon, Abdallah Saffidine, Brendan Juba, Roni Stern Steady-State Planning in Expected Reward Multichain MDPs
George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez Sunny-As2: Enhancing SUNNY for Algorithm Selection
Tong Liu, Roberto Amadini, Maurizio Gabbrielli, Jacopo Mauro Superintelligence Cannot Be Contained: Lessons from Computability Theory
Manuel Alfonseca, Manuel Cebrián, Antonio Fernández Anta, Lorenzo Coviello, Andrés Abeliuk, Iyad Rahwan The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
Vassilina Nikoulina, Maxat Tezekbayev, Nuradil Kozhakhmet, Madina Babazhanova, Matthias Gallé, Zhenisbek Assylbekov Welfare Guarantees in Schelling Segregation
Martin Bullinger, Warut Suksompong, Alexandros A. Voudouris