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AAAI 2022

1,624 papers

Monotone Abstractions in Ontology-Based Data Management

Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi

On Testing for Discrimination Using Causal Models

Hana Chockler, Joseph Y. Halpern

ASP-Based Declarative Process Mining

Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network

Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang

Geometry Interaction Knowledge Graph Embeddings

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

ER: Equivariance Regularizer for Knowledge Graph Completion

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

Expressivity of Planning with Horn Description Logic Ontologies

Stefan Borgwardt, Jorg Hoffmann, Alisa Kovtunova, Markus Krötzsch, Bernhard Nebel

From Actions to Programs as Abstract Actual Causes

Bita Banihashemi, Shakil M. Khan, Mikhail Soutchanski

Trading Complexity for Sparsity in Random Forest Explanations

Gilles Audemard, Steve Bellart, Louènas Bounia, Frédéric Koriche, Jean-Marie Lagniez

Incomplete Argumentation Frameworks: Properties and Complexity

Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna

Sim2Real Object-Centric Keypoint Detection and Description

Chengliang Zhong, Chao Yang, Fuchun Sun, Jinshan Qi, Xiaodong Mu

Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint

Peng Zhai, Jie Luo, Zhiyan Dong, Lihua Zhang, Shunli Wang

CTIN: Robust Contextual Transformer Network for Inertial Navigation

Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M Shila, Frank M Tucker

Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning

Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Jayaraman Dinesh

Discovering State and Action Abstractions for Generalized Task and Motion Planning

Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Kaelbling

On Optimizing Interventions in Shared Autonomy

Weihao Tan, David Koleczek, Siddhant Pradhan, Nicholas Perello, Vivek Chettiar

Deceptive Decision-Making under Uncertainty

Yagiz Savas, Christos K. Verginis, Ufuk Topcu

Teaching Humans When to Defer to a Classifier via Exemplars

Hussein Mozannar, Arvind Satyanarayan, David Sontag

FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles

Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke

Adversarial Learning from Crowds

Pengpeng Chen, Hailong Sun, Yongqiang Yang, Zhijun Chen

How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild

Pablo Antonio Moreno Casares, Bao Sheng Loe, John Burden, Sean hEigeartaigh, José Hernández-Orallo

Role of Human-AI Interaction in Selective Prediction

Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin Chadwick, Yoram Bachrach

Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations

Siddhant Arora, Danish Pruthi, Norman Sadeh, William W. Cohen, Zachary C. Lipton

Planning with Participation Constraints

Hanrui Zhang, Yu Cheng, Vincent Conitzer

AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms

Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing

Multi-Unit Auction in Social Networks with Budgets

Mingyu Xiao, Yuchao Song, Bakh Khoussainov

Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games

Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe

Online Task Assignment Problems with Reusable Resources

Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga

Proportional Public Decisions

Piotr Skowron, Adrian Górecki

PageRank for Edges: Axiomatic Characterization

Natalia Kucharczuk, Tomasz Wąs, Oskar Skibski

Worst-Case Voting When the Stakes Are High

Anson Kahng, Gregory Kehne

Reforming an Envy-Free Matching

Takehiro Ito, Yuni Iwamasa, Naonori Kakimura, Naoyuki Kamiyama, Yusuke Kobayashi

Approval-Based Committee Voting under Incomplete Information

Aviram Imber, Jonas Israel, Markus Brill, Benny Kimelfeld

Multi-Leader Congestion Games with an Adversary

Tobias Harks, Mona Henle, Max Klimm, Jannik Matuschke, Anja Schedel

Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment

Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl

Hedonic Diversity Games: A Complexity Picture with More than Two Colors

Robert Ganian, Thekla Hamm, Dusan Knop, Šimon Schierreich, Ondřej Suchý

Bayesian Persuasion in Sequential Decision-Making

Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla

Two-Price Equilibrium

Michal Feldman, Galia Shabtai, Aner Wolfenfeld

The Complexity of Subelection Isomorphism Problems

Piotr Faliszewski, Krzysztof Sornat, Stanisław Szufa

The Price of Justified Representation

Edith Elkind, Piotr Faliszewski, Ayumi Igarashi, Pasin Manurangsi, Ulrike Schmidt-Kraepelin

Complexity of Deliberative Coalition Formation

Edith Elkind, Abheek Ghosh, Paul Goldberg

Heterogeneous Facility Location with Limited Resources

Argyrios Deligkas, Aris Filos-Ratsikas, Alexandros A. Voudouris

Pizza Sharing Is PPA-Hard

Argyrios Deligkas, John Fearnley, Themistoklis Melissourgos

Weighted Fairness Notions for Indivisible Items Revisited

Mithun Chakraborty, Erel Segal-Halevi, Warut Suksompong

Signaling in Posted Price Auctions

Matteo Castiglioni, Giulia Romano, Alberto Marchesi, Nicola Gatti

Efficiency of Ad Auctions with Price Displaying

Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano

Truthful Aggregation of Budget Proposals with Proportionality Guarantees

Ioannis Caragiannis, George Christodoulou, Nicos Protopapas

A Little Charity Guarantees Fair Connected Graph Partitioning

Ioannis Caragiannis, Evi Micha, Nisarg Shah

The Metric Distortion of Multiwinner Voting

Ioannis Caragiannis, Nisarg Shah, Alexandros A. Voudouris

Individual Representation in Approval-Based Committee Voting

Markus Brill, Jonas Israel, Evi Micha, Jannik Peters

Liquid Democracy with Ranked Delegations

Markus Brill, Théo Delemazure, Anne-Marie George, Martin Lackner, Ulrike Schmidt-Kraepelin

On Improving Resource Allocations by Sharing

Robert Bredereck, Andrzej Kaczmarczyk, Junjie Luo, Rolf Niedermeier, Florian Sachse

Single-Agent Dynamics in Additively Separable Hedonic Games

Felix Brandt, Martin Bullinger, Leo Tappe

Combating Collusion Rings Is Hard but Possible

Niclas Boehmer, Robert Bredereck, André Nichterlein

Sequential Blocked Matching

Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh

Almost Full EFX Exists for Four Agents

Ben Berger, Avi Cohen, Michal Feldman, Amos Fiat

Truthful Cake Sharing

Xiaohui Bei, Xinhang Lu, Warut Suksompong

Universal and Tight Online Algorithms for Generalized-Mean Welfare

Siddharth Barman, Arindam Khan, Arnab Maiti

Fair and Truthful Giveaway Lotteries

Tal Arbiv, Yonatan Aumann

Dimensionality and Coordination in Voting: The Distortion of STV

Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos

Truth-Tracking via Approval Voting: Size Matters

Tahar Allouche, Jérôme Lang, Florian Yger

Maximizing Nash Social Welfare in 2-Value Instances

Hannaneh Akrami, Bhaskar Ray Chaudhury, Martin Hoefer, Kurt Mehlhorn, Marco Schmalhofer

Locally Fair Partitioning

Pankaj K. Agarwal, Shao-Heng Ko, Kamesh Munagala, Erin Taylor

An Algorithmic Introduction to Savings Circles

Rediet Abebe, Adam Eck, Christian Ikeokwu, Sam Taggart

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education

Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen

Dynamic Manifold Learning for Land Deformation Forecasting

Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang

Deeply Tensor Compressed Transformers for End-to-End Object Detection

Peining Zhen, Ziyang Gao, Tianshu Hou, Yuan Cheng, Hai-Bao Chen