Georgios Theocharous

According to our database1, Georgios Theocharous authored at least 49 papers between 1998 and 2021.

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Bibliography

2021
High Confidence Generalization for Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Reinforcement Learning for Strategic Recommendations.
CoRR, 2020

Dynamic Clustering with Discrete Time Event Prediction.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

SPADE: Streaming PARAFAC2 DEcomposition for Large Datasets.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Towards Safe Policy Improvement for Non-Stationary MDPs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

POPLAR: Parafac2 decOmPosition using auxiLiAry infoRmation.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Optimizing for the Future in Non-Stationary MDPs.
Proceedings of the 37th International Conference on Machine Learning, 2020

C<sup>3</sup> APTION: Constrainted Coupled CP and PARAFAC2 Tensor Decomposition.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

C<sup>3</sup> APTION: Constraint Coupled CP And PARAFAC2 Tensor Decompostion.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Lifelong Learning with a Changing Action Set.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Reinforcement Learning When All Actions Are Not Always Available.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Personalizing with Human Cognitive Biases.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Hacd: Hierarchical Agglomerative Community Detection In Social Networks.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Sense-able Lunch Recommendations.
Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, 2019

Learning Action Representations for Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence.
AI Mag., 2018

Scalar Posterior Sampling with Applications.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Personalizable and Interactive Sequence Recommender System.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Interactive Campaign Planning for Marketing Analysts.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Capacity-aware Sequential Recommendations.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Posterior Sampling for Large Scale Reinforcement Learning.
CoRR, 2017

Importance of Recommendation Policy Space in Addressing Click Sparsity in Personalized Advertisement Display.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

An Interactive Points of Interest Guidance System.
Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Automated Data Cleansing through Meta-Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Personalized Advertisement Recommendation: A Ranking Approach to Address the Ubiquitous Click Sparsity Problem.
CoRR, 2016

Graphical Model Sketch.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
Ad Recommendation Systems for Life-Time Value Optimization.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Policy Evaluation Using the Ω-Return.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

High Confidence Policy Improvement.
Proceedings of the 32nd International Conference on Machine Learning, 2015

High-Confidence Off-Policy Evaluation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013
Structured Kernel-Based Reinforcement Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Kernel-Based Reinforcement Learning on Representative States.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Automated facial affect analysis for one-on-one tutoring applications.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Towards a Physical and Personal Math Coin Tutoring System.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

2010
Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2008
A Lazy Approach to Online Learning with Constraints.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Online Learning with Expert Advice and Finite-Horizon Constraints.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
User Model and Utility Based Power Management.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Adaptive Timeout Policies for Fast Fine-Grained Power Management.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005
The Workshop Program at the Nineteenth National Conference on Artificial Intelligence.
AI Mag., 2005

2004
Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2003
Approximate Planning in POMDPs with Macro-Actions.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Learning the hierarchical structure of spatial environments using multiresolution statistical models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002

Approximate Planning with Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

2001
Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation.
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

1998
Rapid Concept Learning for Mobile Robots.
Auton. Robots, 1998

Optimizing Production Manufacturing Using Reinforcement Learning.
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998


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