IJCAI 2018 Accepted Tutorials and Schedule


Adversarial Machine Learning
Battista Biggio and Fabio Roli
“AI for Social Good” Design Hackathon for K-12 Outreach
Tara Chklovski and Yolanda Gil
Algorithmic Social Intervention
Bryan Wilder and Yevgeniy Vorobeychik
Artificial Intelligence and the Law
Adam Wyner
Boosting Optimization via Machine Learning
Michele Lombardi and Michela Milano
Computational Social Choice and Moral Artificial Intelligence
Vincent Conitzer
Deep Generative Models
Aditya Grover and Stefano Ermon
Deep Learning for AI
Yoshua Bengio
Defeasible Description Logics
Ivan Varzinczak
Imagination Machines
Sridhar Mahadevan
Multiwinner Elections: Applications, Axioms, Algorithms, and Generalizations
Piotr Faliszewski, Piotr Skowron, and Nimrod Talmon
Musical Metacreation: AI for Generative Music
Philippe Paquier
Neural-symbolic Learning and Reasoning with Constraints
Luis Lamb, Marco Gori, Artur Garcez, Luciano Serafini, and Michael Spranger
Online Reinforcement Learning Algorithms
Richard Sutton
Ontology-based Data Access: Theory and Practice
Roman Kontchakov and Guohui Xiao
Predicting Human Decision-Making: From Predicaton to Action
Ariel Rosenfeld and Sarit Kraus
Recent Advances in Knowledge Compilation
Adnan Darwiche and Pierre Marquis
Recent Directions in Heuristic Search
Ariel Felner, Sven Koenig and Nathan Sturtevant
Scaling Discrete Integration and Sampling: Foundations and Challenges
Supratik Chakraborty and Kuldeep S. Meel
The Role of Wikipedia in Text Analysis and Retrieval
Marius Pasca
Toward Interpretable Deep Learning via Fuzzy Logic
Lixin Fan, Chee Seng Chan, and Fei-Yue Wang
Verifying Agent-Based Autonomous Systems
Louise Dennis and Michael Fisher


Argumentation Meets Computational Social Choice: A Tutorial
Dorothea Baumeister, Daniel Neugebauer, and Jörg Rothe
Constraint Learning
Luc De Raedt, Andrea Passerini, and Stefano Teso
Declarative Spatial Reasoning: Theory, Methods, Applications
Mehul Blatt and Carl Schultz
Diffusion Mechanism Design in Social Networks
Dengji Zhao
Epistemic Reasoning in AI
François Schwarzentruber
Game Theory and Machine Learning for Security
Fei Fang
Game Theory to Data Science: Eliciting Truthful Information
Boi Faltings and Goran Radanovic
Machines that Know Right and Can Not Do Wrong: The Theory and Practice of Machine Ethics
Louise Dennis and Marija Slavkovik

Tutorial Schedule

Coming soon…