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Georgios Theocharous
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2020 – today
- 2024
- [c47]Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis:
Distributional Off-Policy Evaluation for Slate Recommendations. AAAI 2024: 8265-8273 - 2023
- [c46]Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan:
Smoothed Online Combinatorial Optimization Using Imperfect Predictions. AAAI 2023: 12130-12137 - [c45]Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian:
Explaining RL Decisions with Trajectories. ICLR 2023 - [i18]Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian:
Explaining RL Decisions with Trajectories. CoRR abs/2305.04073 (2023) - [i17]James E. Kostas, Scott M. Jordan, Yash Chandak, Georgios Theocharous, Dhawal Gupta, Martha White, Bruno Castro da Silva, Philip S. Thomas:
Coagent Networks: Generalized and Scaled. CoRR abs/2305.09838 (2023) - [i16]Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis:
Distributional Off-Policy Evaluation for Slate Recommendations. CoRR abs/2308.14165 (2023) - 2022
- [c44]Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill:
Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning. AAAI 2022: 7841-7849 - [i15]Jaron J. R. Lee, David Arbour, Georgios Theocharous:
Off-Policy Evaluation in Embedded Spaces. CoRR abs/2203.02807 (2022) - [i14]Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan:
Smoothed Online Combinatorial Optimization Using Imperfect Predictions. CoRR abs/2204.10979 (2022) - [i13]Atanu R. Sinha, Navita Goyal, Sunny Dhamnani, Tanay Asija, Raja K. Dubey, M. V. Kaarthik Raja, Georgios Theocharous:
Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases. CoRR abs/2206.15129 (2022) - 2021
- [c43]James E. Kostas, Yash Chandak, Scott M. Jordan, Georgios Theocharous, Philip S. Thomas:
High Confidence Generalization for Reinforcement Learning. ICML 2021: 5764-5773 - [i12]Sridhar Mahadevan, Anup Rao, Georgios Theocharous, Jennifer Healey:
Multiscale Manifold Warping. CoRR abs/2109.09222 (2021) - [i11]James E. Kostas, Philip S. Thomas, Georgios Theocharous:
Edge-Compatible Reinforcement Learning for Recommendations. CoRR abs/2112.05812 (2021) - [i10]Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill:
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning. CoRR abs/2112.15221 (2021) - 2020
- [c42]Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas:
Lifelong Learning with a Changing Action Set. AAAI 2020: 3373-3380 - [c41]Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas:
Reinforcement Learning When All Actions Are Not Always Available. AAAI 2020: 3381-3388 - [c40]Ekta Gujral
, Georgios Theocharous, Evangelos E. Papalexakis:
C3 APTION: Constraint Coupled CP And PARAFAC2 Tensor Decompostion. ACSSC 2020: 187-190 - [c39]Ekta Gujral
, Georgios Theocharous, Evangelos E. Papalexakis:
C3 APTION: Constrainted Coupled CP and PARAFAC2 Tensor Decomposition. ASONAM 2020: 401-408 - [c38]Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas:
Optimizing for the Future in Non-Stationary MDPs. ICML 2020: 1414-1425 - [c37]Ekta Gujral
, Georgios Theocharous, Evangelos E. Papalexakis:
POPLAR: Parafac2 decOmPosition using auxiLiAry infoRmation. SAM 2020: 1-5 - [c36]Yash Chandak, Scott M. Jordan, Georgios Theocharous, Martha White, Philip S. Thomas:
Towards Safe Policy Improvement for Non-Stationary MDPs. NeurIPS 2020 - [c35]Ekta Gujral
, Georgios Theocharous, Evangelos E. Papalexakis:
SPADE: Streaming PARAFAC2 DEcomposition for Large Datasets. SDM 2020: 577-585 - [c34]Karan Aggarwal, Georgios Theocharous, Anup B. Rao:
Dynamic Clustering with Discrete Time Event Prediction. SIGIR 2020: 1501-1504 - [i9]Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas:
Optimizing for the Future in Non-Stationary MDPs. CoRR abs/2005.08158 (2020) - [i8]Georgios Theocharous, Yash Chandak, Philip S. Thomas, Frits de Nijs:
Reinforcement Learning for Strategic Recommendations. CoRR abs/2009.07346 (2020) - [i7]Yash Chandak, Scott M. Jordan, Georgios Theocharous, Martha White, Philip S. Thomas:
Towards Safe Policy Improvement for Non-Stationary MDPs. CoRR abs/2010.12645 (2020)
2010 – 2019
- 2019
- [c33]Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas:
Learning Action Representations for Reinforcement Learning. ICML 2019: 941-950 - [c32]Ishan Gupta, Jennifer Healey, Georgios Theocharous:
Sense-able Lunch Recommendations. MobileHCI 2019: 53:1-53:6 - [c31]Ekta Gujral
, Evangelos E. Papalexakis, Georgios Theocharous, Anup B. Rao:
Hacd: Hierarchical Agglomerative Community Detection In Social Networks. MLSP 2019: 1-6 - [c30]Georgios Theocharous, Jennifer Healey, Sridhar Mahadevan, Michele A. Saad:
Personalizing with Human Cognitive Biases. UMAP (Adjunct Publication) 2019: 13-17 - [i6]Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas:
Learning Action Representations for Reinforcement Learning. CoRR abs/1902.00183 (2019) - [i5]Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas:
Lifelong Learning with a Changing Action Set. CoRR abs/1906.01770 (2019) - [i4]Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas:
Reinforcement Learning When All Actions are Not Always Available. CoRR abs/1906.01772 (2019) - 2018
- [j4]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, Kristen Brent Venable, Neal Wagner, Anna Zamansky:
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39(4): 45-56 (2018) - [c29]Frits de Nijs, Georgios Theocharous, Nikos Vlassis, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Capacity-aware Sequential Recommendations. AAMAS 2018: 416-424 - [c28]Fan Du, Sana Malik, Eunyee Koh, Georgios Theocharous:
Interactive Campaign Planning for Marketing Analysts. CHI Extended Abstracts 2018 - [c27]Fan Du, Sana Malik, Georgios Theocharous, Eunyee Koh:
Personalizable and Interactive Sequence Recommender System. CHI Extended Abstracts 2018 - [c26]Georgios Theocharous, Zheng Wen, Yasin Abbasi, Nikos Vlassis:
Scalar Posterior Sampling with Applications. NeurIPS 2018: 7696-7704 - 2017
- [c25]Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill:
Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing. AAAI 2017: 4740-4745 - [c24]Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh:
Automated Data Cleansing through Meta-Learning. AAAI 2017: 4760-4761 - [c23]Georgios Theocharous, Nikos Vlassis, Zheng Wen:
An Interactive Points of Interest Guidance System. IUI Companion 2017: 49-52 - [c22]Sougata Chaudhuri, Georgios Theocharous, Mohammad Ghavamzadeh:
Importance of Recommendation Policy Space in Addressing Click Sparsity in Personalized Advertisement Display. MLDM 2017: 32-46 - [i3]Georgios Theocharous, Zheng Wen, Yasin Abbasi-Yadkori, Nikos Vlassis:
Posterior Sampling for Large Scale Reinforcement Learning. CoRR abs/1711.07979 (2017) - 2016
- [c21]Branislav Kveton, Hung Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun:
Graphical Model Sketch. ECML/PKDD (1) 2016: 81-97 - [i2]Branislav Kveton, Hung Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun:
Graphical Model Sketch. CoRR abs/1602.03105 (2016) - [i1]Sougata Chaudhuri, Georgios Theocharous, Mohammad Ghavamzadeh:
Personalized Advertisement Recommendation: A Ranking Approach to Address the Ubiquitous Click Sparsity Problem. CoRR abs/1603.01870 (2016) - 2015
- [c20]Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh:
High-Confidence Off-Policy Evaluation. AAAI 2015: 3000-3006 - [c19]Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh:
High Confidence Policy Improvement. ICML 2015: 2380-2388 - [c18]Georgios Theocharous, Philip S. Thomas, Mohammad Ghavamzadeh:
Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees. IJCAI 2015: 1806-1812 - [c17]Philip S. Thomas, Scott Niekum, Georgios Theocharous, George Dimitri Konidaris:
Policy Evaluation Using the Ω-Return. NIPS 2015: 334-342 - [c16]Georgios Theocharous, Philip S. Thomas, Mohammad Ghavamzadeh:
Ad Recommendation Systems for Life-Time Value Optimization. WWW (Companion Volume) 2015: 1305-1310 - 2013
- [c15]Branislav Kveton, Georgios Theocharous:
Structured Kernel-Based Reinforcement Learning. AAAI 2013: 569-575 - 2012
- [c14]Branislav Kveton, Georgios Theocharous:
Kernel-Based Reinforcement Learning on Representative States. AAAI 2012: 977-983 - 2011
- [c13]Georgios Theocharous, Nicholas J. Butko, Matthai Philipose:
Towards a Physical and Personal Math Coin Tutoring System. AIED 2011: 569-571 - [c12]Nicholas J. Butko, Georgios Theocharous, Matthai Philipose, Javier R. Movellan:
Automated facial affect analysis for one-on-one tutoring applications. FG 2011: 382-387 - 2010
- [c11]Georgios Theocharous, Sridhar Mahadevan:
Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization. AAAI 2010: 1147-1152
2000 – 2009
- 2008
- [c10]Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor:
Online Learning with Expert Advice and Finite-Horizon Constraints. AAAI 2008: 331-336 - [c9]Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor:
A Lazy Approach to Online Learning with Constraints. ISAIM 2008 - 2007
- [c8]Branislav Kveton, Prashant Gandhi, Georgios Theocharous, Shie Mannor, Barbara Rosario, Nilesh Shah:
Adaptive Timeout Policies for Fast Fine-Grained Power Management. AAAI 2007: 1795-1800 - [c7]Chih-Han Yu, Shie Mannor, Georgios Theocharous, Avi Pfeffer:
User Model and Utility Based Power Management. AAAI 2007: 1918-1919 - 2005
- [j3]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:
The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. AI Mag. 26(1): 103-108 (2005) - 2004
- [c6]Georgios Theocharous, Kevin P. Murphy, Leslie Pack Kaelbling:
Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. ICRA 2004: 1045-1051 - 2003
- [c5]Georgios Theocharous, Leslie Pack Kaelbling:
Approximate Planning in POMDPs with Macro-Actions. NIPS 2003: 775-782 - 2002
- [c4]Georgios Theocharous, Sridhar Mahadevan:
Approximate Planning with Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. ICRA 2002: 1347-1352 - [c3]Georgios Theocharous, Sridhar Mahadevan:
Learning the hierarchical structure of spatial environments using multiresolution statistical models. IROS 2002: 1038-1043 - 2001
- [c2]Georgios Theocharous, Khashayar Rohanimanesh, Sridhar Mahadevan:
Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. ICRA 2001: 511-516
1990 – 1999
- 1998
- [j2]Sridhar Mahadevan, Georgios Theocharous, Nikfar Khaleeli:
Rapid Concept Learning for Mobile Robots. Auton. Robots 5(3-4): 239-251 (1998) - [j1]Sridhar Mahadevan, Georgios Theocharous, Nikfar Khaleeli:
Rapid Concept Learning for Mobile Robots. Mach. Learn. 31(1-3): 7-27 (1998) - [c1]Sridhar Mahadevan, Georgios Theocharous:
Optimizing Production Manufacturing Using Reinforcement Learning. FLAIRS 1998: 372-377
Coauthor Index
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