Georgios Theocharous

69 papers A* 26A 4B 3Misc 3Journal 22Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Distributional Off-Policy Evaluation for Slate Recommendations. AAAI Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis
2023	J	`jnl`	Coagent Networks: Generalized and Scaled. CoRR James E. Kostas, Scott M. Jordan, Yash Chandak, Georgios Theocharous, Dhawal Gupta, Martha White, Bruno Castro da Silva, Philip S. Thomas
2023	J	`jnl`	Distributional Off-Policy Evaluation for Slate Recommendations. CoRR Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis
2023	A*	`conf`	Explaining RL Decisions with Trajectories. ICLR Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian
2023	J	`jnl`	Explaining RL Decisions with Trajectories. CoRR Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian
2023	A*	`conf`	Smoothed Online Combinatorial Optimization Using Imperfect Predictions. AAAI Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan
2022	A*	`conf`	Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning. AAAI Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill
2022	J	`jnl`	Off-Policy Evaluation in Embedded Spaces. CoRR Jaron J. R. Lee, David Arbour, Georgios Theocharous
2022	J	`jnl`	Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases. CoRR Atanu R. Sinha, Navita Goyal, Sunny Dhamnani, Tanay Asija, Raja K. Dubey, M. V. Kaarthik Raja, Georgios Theocharous
2022	J	`jnl`	Smoothed Online Combinatorial Optimization Using Imperfect Predictions. CoRR Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan
2021	J	`jnl`	Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning. CoRR Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill
2021	J	`jnl`	Edge-Compatible Reinforcement Learning for Recommendations. CoRR James E. Kostas, Philip S. Thomas, Georgios Theocharous
2021	A*	`conf`	High Confidence Generalization for Reinforcement Learning. ICML James E. Kostas, Yash Chandak, Scott M. Jordan, Georgios Theocharous, Philip S. Thomas
2021	J	`jnl`	Multiscale Manifold Warping. CoRR Sridhar Mahadevan, Anup Rao, Georgios Theocharous, Jennifer Healey
2020	Misc	`conf`	C ACSSC Ekta Gujral, Georgios Theocharous, Evangelos E. Papalexakis
2020	B	`conf`	C ASONAM Ekta Gujral, Georgios Theocharous, Evangelos E. Papalexakis
2020	A*	`conf`	Dynamic Clustering with Discrete Time Event Prediction. SIGIR Karan Aggarwal, Georgios Theocharous, Anup B. Rao
2020	A*	`conf`	Lifelong Learning with a Changing Action Set. AAAI Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas
2020	A*	`conf`	Optimizing for the Future in Non-Stationary MDPs. ICML Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas
2020	J	`jnl`	Optimizing for the Future in Non-Stationary MDPs. CoRR Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas
2020	—	`conf`	POPLAR: Parafac2 decOmPosition using auxiLiAry infoRmation. SAM Ekta Gujral, Georgios Theocharous, Evangelos E. Papalexakis
2020	A*	`conf`	Reinforcement Learning When All Actions Are Not Always Available. AAAI Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas
2020	J	`jnl`	Reinforcement Learning for Strategic Recommendations. CoRR Georgios Theocharous, Yash Chandak, Philip S. Thomas, Frits de Nijs
2020	A	`conf`	SPADE: Streaming PARAFAC2 DEcomposition for Large Datasets. SDM Ekta Gujral, Georgios Theocharous, Evangelos E. Papalexakis
2020	A*	`conf`	Towards Safe Policy Improvement for Non-Stationary MDPs. NeurIPS Yash Chandak, Scott M. Jordan, Georgios Theocharous, Martha White, Philip S. Thomas
2020	J	`jnl`	Towards Safe Policy Improvement for Non-Stationary MDPs. CoRR Yash Chandak, Scott M. Jordan, Georgios Theocharous, Martha White, Philip S. Thomas
2019	—	`conf`	Hacd: Hierarchical Agglomerative Community Detection In Social Networks. MLSP Ekta Gujral, Evangelos E. Papalexakis, Georgios Theocharous, Anup B. Rao
2019	A*	`conf`	Learning Action Representations for Reinforcement Learning. ICML Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas
2019	J	`jnl`	Learning Action Representations for Reinforcement Learning. CoRR Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas
2019	J	`jnl`	Lifelong Learning with a Changing Action Set. CoRR Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas
2019	—	`conf`	Personalizing with Human Cognitive Biases. UMAP (Adjunct Publication) Georgios Theocharous, Jennifer Healey, Sridhar Mahadevan, Michele A. Saad
2019	J	`jnl`	Reinforcement Learning When All Actions are Not Always Available. CoRR Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas
2019	B	`conf`	Sense-able Lunch Recommendations. MobileHCI Ishan Gupta, Jennifer Healey, Georgios Theocharous
2018	A	`conf`	Capacity-aware Sequential Recommendations. AAMAS Frits de Nijs, Georgios Theocharous, Nikos Vlassis, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan
2018	—	`conf`	Interactive Campaign Planning for Marketing Analysts. CHI Extended Abstracts Fan Du, Sana Malik, Eunyee Koh, Georgios Theocharous
2018	—	`conf`	Personalizable and Interactive Sequence Recommender System. CHI Extended Abstracts Fan Du, Sana Malik, Georgios Theocharous, Eunyee Koh
2018	J	`jnl`	Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, K. Brent Venable, Neal Wagner, Anna Zamansky
2018	A*	`conf`	Scalar Posterior Sampling with Applications. NeurIPS Georgios Theocharous, Zheng Wen, Yasin Abbasi, Nikos Vlassis
2017	—	`conf`	An Interactive Points of Interest Guidance System. IUI Companion Georgios Theocharous, Nikos Vlassis, Zheng Wen
2017	A*	`conf`	Automated Data Cleansing through Meta-Learning. AAAI Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh
2017	—	`conf`	Importance of Recommendation Policy Space in Addressing Click Sparsity in Personalized Advertisement Display. MLDM Sougata Chaudhuri, Georgios Theocharous, Mohammad Ghavamzadeh
2017	J	`jnl`	Posterior Sampling for Large Scale Reinforcement Learning. CoRR Georgios Theocharous, Zheng Wen, Yasin Abbasi-Yadkori, Nikos Vlassis
2017	A*	`conf`	Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing. AAAI Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill
2016	—	`conf`	Graphical Model Sketch. ECML/PKDD (1) Branislav Kveton, Hung Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun
2016	J	`jnl`	Graphical Model Sketch. CoRR Branislav Kveton, Hung Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun
2016	J	`jnl`	Personalized Advertisement Recommendation: A Ranking Approach to Address the Ubiquitous Click Sparsity Problem. CoRR Sougata Chaudhuri, Georgios Theocharous, Mohammad Ghavamzadeh
2015	—	`conf`	Ad Recommendation Systems for Life-Time Value Optimization. WWW (Companion Volume) Georgios Theocharous, Philip S. Thomas, Mohammad Ghavamzadeh
2015	A*	`conf`	High Confidence Policy Improvement. ICML Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh
2015	A*	`conf`	High-Confidence Off-Policy Evaluation. AAAI Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh
2015	A*	`conf`	Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees. IJCAI Georgios Theocharous, Philip S. Thomas, Mohammad Ghavamzadeh
2015	—	`conf`	Policy Evaluation Using the Ω-Return. NIPS Philip S. Thomas, Scott Niekum, Georgios Theocharous, George Dimitri Konidaris
2013	A*	`conf`	Structured Kernel-Based Reinforcement Learning. AAAI Branislav Kveton, Georgios Theocharous
2012	A*	`conf`	Kernel-Based Reinforcement Learning on Representative States. AAAI Branislav Kveton, Georgios Theocharous
2011	B	`conf`	Automated facial affect analysis for one-on-one tutoring applications. FG Nicholas J. Butko, Georgios Theocharous, Matthai Philipose, Javier R. Movellan
2011	A	`conf`	Towards a Physical and Personal Math Coin Tutoring System. AIED Georgios Theocharous, Nicholas J. Butko, Matthai Philipose
2010	A*	`conf`	Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization. AAAI Georgios Theocharous, Sridhar Mahadevan
2008	Misc	`conf`	A Lazy Approach to Online Learning with Constraints. ISAIM Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor
2008	A*	`conf`	Online Learning with Expert Advice and Finite-Horizon Constraints. AAAI Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor
2007	A*	`conf`	Adaptive Timeout Policies for Fast Fine-Grained Power Management. AAAI Branislav Kveton, Prashant Gandhi, Georgios Theocharous, Shie Mannor, Barbara Rosario, Nilesh Shah
2007	A*	`conf`	User Model and Utility Based Power Management. AAAI Chih-Han Yu, Shie Mannor, Georgios Theocharous, Avi Pfeffer
2005	J	`jnl`	The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. AI Mag. Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh
2004	A*	`conf`	Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. ICRA Georgios Theocharous, Kevin P. Murphy, Leslie Pack Kaelbling
2003	—	`conf`	Approximate Planning in POMDPs with Macro-Actions. NIPS Georgios Theocharous, Leslie Pack Kaelbling
2002	A*	`conf`	Approximate Planning with Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. ICRA Georgios Theocharous, Sridhar Mahadevan
2002	A	`conf`	Learning the hierarchical structure of spatial environments using multiresolution statistical models. IROS Georgios Theocharous, Sridhar Mahadevan
2001	A*	`conf`	Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. ICRA Georgios Theocharous, Khashayar Rohanimanesh, Sridhar Mahadevan
1998	Misc	`conf`	Optimizing Production Manufacturing Using Reinforcement Learning. FLAIRS Sridhar Mahadevan, Georgios Theocharous
1998	J	`jnl`	Rapid Concept Learning for Mobile Robots. Auton. Robots Sridhar Mahadevan, Georgios Theocharous, Nikfar Khaleeli
1998	J	`jnl`	Rapid Concept Learning for Mobile Robots. Mach. Learn. Sridhar Mahadevan, Georgios Theocharous, Nikfar Khaleeli