JAIR 2023
99 papers
A Comprehensive Survey on Deep Graph Representation Learning Methods
Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah, Chiagoziem Chima Ukwuoma, Chukwuebuka Joseph Ejiyi A Logic of East and West
Heshan Du, Natasha Alechina, Amin Farjudian, Brian Logan, Can Zhou, Anthony G. Cohn Actor Prioritized Experience Replay
Baturay Saglam, Furkan B. Mutlu, Dogan Can Çiçek, Suleyman S. Kozat Amortized Variational Inference: A Systematic Review
Ankush Ganguly, Sanjana Jain, Ukrit Watchareeruetai Competitive Equilibria with a Constant Number of Chores
Jugal Garg, Peter McGlaughlin, Martin Hoefer, Marco Schmalhofer Coopetition Against an Amazon
Ronen Gradwohl, Moshe Tennenholtz Diagnosing AI Explanation Methods with Folk Concepts of Behavior
Alon Jacovi, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis
Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting How to DP-Fy ML: A Practical Guide to Machine Learning with Differential Privacy
Natalia Ponomareva, Hussein Hazimeh, Alex Kurakin, Zheng Xu, Carson Denison, H. Brendan McMahan, Sergei Vassilvitskii, Steve Chien, Abhradeep Guha Thakurta Improving Resource Allocations by Sharing in Pairs
Robert Bredereck, Andrzej Kaczmarczyk, Junjie Luo, Rolf Niedermeier, Florian Sachse Information Lattice Learning
Haizi Yu, James A. Evans, Lav R. Varshney Lifted Reasoning for Combinatorial Counting
Pietro Totis, Jesse Davis, Luc De Raedt, Angelika Kimmig Maintenance of Plan Libraries for Case-Based Planning: Offline and Online Policies
Alfonso Emilio Gerevini, Alessandro Saetti, Ivan Serina, Andrea Loreggia, Luca Putelli, Anna Roubícková MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning
Raghu Rajan, Jessica Lizeth Borja Diaz, Suresh Guttikonda, Fabio Ferreira, André Biedenkapp, Jan Ole von Hartz, Frank Hutter Mimicking Behaviors in Separated Domains
Giuseppe De Giacomo, Dror Fried, Fabio Patrizi, Shufang Zhu Mining ℰℒ⊥ Bases with Adaptable Role Depth
Ricardo Guimarães, Ana Ozaki, Cosimo Persia, Baris Sertkaya On Centralized Critics in Multi-Agent Reinforcement Learning
Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato On Expected Value Strong Controllability
Niklas T. Lauffer, William Bowers Lassiter, Jeremy D. Frank On the Complexity of Finding Set Repairs for Data-Graphs
Sergio Abriola, María Vanina Martínez, Nina Pardal, Santiago Cifuentes, Edwin Pin Baque On the Evaluation of (Meta-)solver Approaches
Roberto Amadini, Maurizio Gabbrielli, Tong Liu, Jacopo Mauro Online Bin Packing with Predictions
Spyros Angelopoulos, Shahin Kamali, Kimia Shadkami Optimality Guarantees for Particle Belief Approximation of POMDPs
Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
Robin Lorenz, Anna Pearson, Konstantinos Meichanetzidis, Dimitri Kartsaklis, Bob Coecke Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions
Thom Badings, Licio Romao, Alessandro Abate, David Parker, Hasan A. Poonawala, Mariëlle Stoelinga, Nils Jansen Scalable Neural-Probabilistic Answer Set Programming
Arseny Skryagin, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting Sequence-Oriented Diagnosis of Discrete-Event Systems
Gianfranco Lamperti, Stefano Trerotola, Marina Zanella, Xiangfu Zhao The Complexity of Matching Games: A Survey
Márton Benedek, Péter Biró, Matthew Johnson, Daniël Paulusma, Xin Ye Towards Green Automated Machine Learning: Status Quo and Future Directions
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models
Wout Schellaert, Fernando Martínez-Plumed, Karina Vold, John Burden, Pablo A. M. Casares, Bao Sheng Loe, Roi Reichart, Seán Ó hÉigeartaigh, Anna Korhonen, José Hernández-Orallo