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ORCIDJournal of Artificial Intelligence Research, Volume 72
Volume 72, 2021
- Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez:
Optimizing for Interpretability in Deep Neural Networks with Tree Regularization. 1-37 - Shaowei Cai, Jinkun Lin, Yiyuan Wang, Darren Strash
:
A Semi-exact Algorithm for Quickly Computing A Maximum Weight Clique in Large Sparse Graphs. 39-67 - Tomás Peitl, Stefan Szeider:
Finding the Hardest Formulas for Resolution. 69-97 - Yotam Gafni, Ron Lavi, Moshe Tennenholtz:
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with an Application to False-name Manipulation. 99-135 - John Livieratos, Phokion G. Kolaitis, Lefteris M. Kirousis:
On the Computational Complexity of Non-Dictatorial Aggregation. 137-183 - Tobias Harks, Max Klimm, Jannik Matuschke:
Pure Nash Equilibria in Resource Graph Games. 185-213 - Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing:
A Theoretical Perspective on Hyperdimensional Computing. 215-249 - Theofanis I. Aravanis:
Relevance in Belief Update. 251-283 - Adnan Darwiche, Pierre Marquis:
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI. 285-328 - Tong Liu, Roberto Amadini, Maurizio Gabbrielli, Jacopo Mauro:
sunny-as2: Enhancing SUNNY for Algorithm Selection. 329-376 - Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee, Mykel J. Kochenderfer:
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems. 377-428 - 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:
NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models. 429-474 - Volodymyr Rospotniuk, Rupert Small:
Optimal Any-Angle Pathfinding on a Sphere. 475-505 - Georgios Birmpas, Jiarui Gan, Alexandros Hollender, Francisco J. Marmolejo Cossío, Ninad Rajgopal, Alexandros A. Voudouris:
Optimally Deceiving a Learning Leader in Stackelberg Games. 507-531 - Benjamin Krarup, Senka Krivic, Daniele Magazzeni, Derek Long, Michael Cashmore, David E. Smith:
Contrastive Explanations of Plans through Model Restrictions. 533-612 - Vu-Linh Nguyen, Eyke Hüllermeier:
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence. 613-665 - Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization. 667-715 - Chiara F. Sironi, Mark H. M. Winands:
Analysis of the Impact of Randomization of Search-Control Parameters in Monte-Carlo Tree Search. 717-757 - Eleonora Giunchiglia, Thomas Lukasiewicz:
Multi-Label Classification Neural Networks with Hard Logical Constraints. 759-818 - Steven Carr, Nils Jansen, Ufuk Topcu:
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes. 819-847 - Cynthia Freeman, Jonathan Merriman, Ian Beaver, Abdullah Mueen:
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms. 849-899 - Aliaksandr Hubin, Geir Storvik, Florian Frommlet:
Flexible Bayesian Nonlinear Model Configuration. 901-942 - Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis:
Graph Kernels: A Survey. 943-1027 - George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez:
Steady-State Planning in Expected Reward Multichain MDPs. 1029-1082 - Cleyton R. Silva, Michael Bowling, Levi H. S. Lelis:
Teaching People by Justifying Tree Search Decisions: An Empirical Study in Curling. 1083-1102 - Cristina Cornelio, Judy Goldsmith, Umberto Grandi, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
Reasoning with PCP-Nets. 1103-1161 - Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn:
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization. 1163-1214 - Michele Flammini, Gianpiero Monaco, Luca Moscardelli, Mordechai Shalom, Shmuel Zaks:
On the Online Coalition Structure Generation Problem. 1215-1250 - Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Pierre Le Bodic:
Learning Optimal Decision Sets and Lists with SAT. 1251-1279 - Atefe Pakzad, Morteza Analoui:
A Word Selection Method for Producing Interpretable Distributional Semantic Word Vectors. 1281-1305 - Dominic Widdows, Kirsty Kitto, Trevor Cohen:
Quantum Mathematics in Artificial Intelligence. 1307-1341 - Vassilina Nikoulina, Maxat Tezekbayev, Nuradil Kozhakhmet, Madina Babazhanova, Matthias Gallé, Zhenisbek Assylbekov:
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics. 1343-1384 - Alexandra Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio:
Learning from Disagreement: A Survey. 1385-1470 - Rodothea-Myrsini Tsoupidi, Roberto Castañeda Lozano, Benoit Baudry:
Constraint-based Diversification of JOP Gadgets. 1471-1505
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