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2020 – today
- 2024
[c54]Anne-Marie George, Christos Dimitrakakis:
Eliciting Kemeny Rankings. AAAI 2024: 12164-12171- [c53]Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis:
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. AAMAS 2024: 516-524 - [c52]Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu:
Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation. ICLR 2024 - [c51]Thomas Kleine Buening, Victor Villin, Christos Dimitrakakis:
Environment Design for Inverse Reinforcement Learning. ICML 2024 - [c50]Meirav Segal
, Anne-Marie George, Ingrid Chieh Yu, Christos Dimitrakakis:
Better Luck Next Time: About Robust Recourse in Binary Allocation Problems. xAI (3) 2024: 374-394 - [i53]Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu:
Strategic Linear Contextual Bandits. CoRR abs/2406.00551 (2024) - 2023
- [c49]Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge:
Minimax-Bayes Reinforcement Learning. AISTATS 2023: 7511-7527 - [c48]Meirav Segal, Anne-Marie George, Christos Dimitrakakis:
Policy Fairness and Unknown Bias Dynamics in Sequential Allocations. EAAMO 2023: 38:1-38:10 - [c47]Andreas Nikolaos Athanasopoulos, Amanda Belfrage, David Berg Marklund, Christos Dimitrakakis:
Approximate Inference for the Bayesian Fairness Framework. EWAF 2023 - [i52]Hannes Eriksson, Debabrota Basu, Tommy Tram, Mina Alibeigi, Christos Dimitrakakis:
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer. CoRR abs/2302.09273 (2023) - [i51]Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge:
Minimax-Bayes Reinforcement Learning. CoRR abs/2302.10831 (2023) - [i50]Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu:
Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation. CoRR abs/2311.15647 (2023) - [i49]Anne-Marie George, Christos Dimitrakakis:
Eliciting Kemeny Rankings. CoRR abs/2312.11663 (2023) - 2022
- [b1]Christos Dimitrakakis, Ronald Ortner:
Decision Making Under Uncertainty and Reinforcement Learning - Theory and Algorithms. Intelligent Systems Reference Library 223, Springer 2022, ISBN 978-3-031-07612-1, pp. 1-238 - [c46]Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George, Christos Dimitrakakis:
On Meritocracy in Optimal Set Selection. EAAMO 2022: 20:1-20:14 - [c45]Thomas Kleine Büning, Anne-Marie George, Christos Dimitrakakis:
Interactive Inverse Reinforcement Learning for Cooperative Games. ICML 2022: 2393-2413 - [c44]Meirav Segal, Anne-Marie George, Christos Dimitrakakis:
Simulating University Application Data for Fair Matchings. NAIS 2022: 132-138 - [c43]Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis:
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning. UAI 2022: 631-640 - [i48]Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis:
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty. CoRR abs/2203.10045 (2022) - [i47]Thomas Kleine Buening, Christos Dimitrakakis:
Environment Design for Inverse Reinforcement Learning. CoRR abs/2210.14972 (2022) - 2021
- [i46]Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis:
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning. CoRR abs/2102.11075 (2021) - [i45]Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis:
Fair Set Selection: Meritocracy and Social Welfare. CoRR abs/2102.11932 (2021) - [i44]Divya Grover, Christos Dimitrakakis:
Adaptive Belief Discretization for POMDP Planning. CoRR abs/2104.07276 (2021) - [i43]Hannes Eriksson, Christos Dimitrakakis, Lars Carlsson:
High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling. CoRR abs/2104.11834 (2021) - [i42]Thomas Kleine Buening, Anne-Marie George, Christos Dimitrakakis:
Interactive Inverse Reinforcement Learning for Cooperative Games. CoRR abs/2111.04698 (2021) - 2020
- [c42]Divya Grover, Debabrota Basu, Christos Dimitrakakis:
Bayesian Reinforcement Learning via Deep, Sparse Sampling. AISTATS 2020: 3036-3045 - [c41]Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann:
A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds. AAMAS 2020: 1395-1403 - [c40]Hannes Eriksson, Christos Dimitrakakis:
Epistemic Risk-Sensitive Reinforcement Learning. ESANN 2020: 339-344 - [c39]Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover:
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning. ICBINB@NeurIPS 2020: 43-52 - [i41]Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu:
Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. CoRR abs/2002.03098 (2020)
2010 – 2019
- 2019
- [j17]Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth, Aleksandra B. Slavkovic:
Program for TPDP 2016. J. Priv. Confidentiality 9(1) (2019) - [c38]Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic:
Bayesian Fairness. AAAI 2019: 509-516 - [c37]Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour:
Privacy of Real-Time Pricing in Smart Grid. CDC 2019: 5162-5167 - [i40]Andreas Ekström, Christian Forssén, Christos Dimitrakakis, Devdatt P. Dubhashi, Håkan T. Johansson, Azam Sheikh Muhammad, Hans Salomonsson, Alexander Schliep:
Bayesian optimization in ab initio nuclear physics. CoRR abs/1902.00941 (2019) - [i39]Divya Grover, Christos Dimitrakakis:
Deeper & Sparser Exploration. CoRR abs/1902.02661 (2019) - [i38]Nikolaos Tziortziotis, Christos Dimitrakakis, Michalis Vazirgiannis:
Randomised Bayesian Least-Squares Policy Iteration. CoRR abs/1904.03535 (2019) - [i37]Debabrota Basu, Christos Dimitrakakis, Aristide C. Y. Tossou:
Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost? CoRR abs/1905.12298 (2019) - [i36]Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis:
Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities. CoRR abs/1905.12425 (2019) - [i35]Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann:
Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games. CoRR abs/1906.01609 (2019) - [i34]Hannes Eriksson, Christos Dimitrakakis:
Epistemic Risk-Sensitive Reinforcement Learning. CoRR abs/1906.06273 (2019) - [i33]Aristide C. Y. Tossou, Debabrota Basu, Christos Dimitrakakis:
Near-optimal Reinforcement Learning using Bayesian Quantiles. CoRR abs/1906.09114 (2019) - [i32]Mahrokh Ghoddousi Boroujeni, Dominik Fay, Christos Dimitrakakis, Maryam Kamgarpour:
Privacy of Real-Time Pricing in Smart Grid. CoRR abs/1912.08523 (2019) - 2018
- [j16]Luca Luceri, Felipe Cardoso, Michela Papandrea, Silvia Giordano, Julia Buwaya, Stéphane Kuendig, Constantinos Marios Angelopoulos, José D. P. Rolim, Zhongliang Zhao, Jose Luis Carrera, Torsten Braun, Aristide C. Y. Tossou, Christos Dimitrakakis, Aikaterini Mitrokotsa:
VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things. Pervasive Mob. Comput. 49: 126-138 (2018) - [i31]Aristide C. Y. Tossou, Christos Dimitrakakis:
On The Differential Privacy of Thompson Sampling With Gaussian Prior. CoRR abs/1806.09192 (2018) - 2017
- [j15]Christos Dimitrakakis, Aikaterini Mitrokotsa:
Near-optimal blacklisting. Comput. Secur. 64: 110-121 (2017) - [j14]Christos Dimitrakakis, Blaine Nelson, Zuhe Zhang, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein:
Differential Privacy for Bayesian Inference through Posterior Sampling. J. Mach. Learn. Res. 18: 11:1-11:39 (2017) - [j13]Brammert Ottens, Christos Dimitrakakis, Boi Faltings:
DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. ACM Trans. Intell. Syst. Technol. 8(5): 69:1-69:27 (2017) - [c36]Aristide Charles Yedia Tossou, Christos Dimitrakakis:
Achieving Privacy in the Adversarial Multi-Armed Bandit. AAAI 2017: 2653-2659 - [c35]Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi:
Thompson Sampling for Stochastic Bandits with Graph Feedback. AAAI 2017: 2660-2666 - [c34]Lars Kunze, Mohan Sridharan, Christos Dimitrakakis, Jeremy L. Wyatt:
Adaptive sampling-based view planning under time constraints. ECMR 2017: 1-6 - [c33]Carlo Brunetta, Christos Dimitrakakis, Bei Liang, Aikaterini Mitrokotsa:
A Differentially Private Encryption Scheme. ISC 2017: 309-326 - [c32]Christos Dimitrakakis, David C. Parkes, Goran Radanovic, Paul Tylkin:
Multi-View Decision Processes: The Helper-AI Problem. NIPS 2017: 5443-5452 - [c31]Nikolaos Tziortziotis, Christos Dimitrakakis:
Bayesian Inference for Least Squares Temporal Difference Regularization. ECML/PKDD (2) 2017: 126-141 - [i30]Aristide C. Y. Tossou, Christos Dimitrakakis:
Achieving Privacy in the Adversarial Multi-Armed Bandit. CoRR abs/1701.04222 (2017) - [i29]Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi:
Thompson Sampling For Stochastic Bandits with Graph Feedback. CoRR abs/1701.04238 (2017) - [i28]Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic:
Subjective fairness: Fairness is in the eye of the beholder. CoRR abs/1706.00119 (2017) - [i27]Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes:
Calibrated Fairness in Bandits. CoRR abs/1707.01875 (2017) - [i26]Philip Ekman, Sebastian Bellevik, Christos Dimitrakakis, Aristide C. Y. Tossou:
Learning to Match. CoRR abs/1707.09678 (2017) - 2016
- [c30]Aristide C. Y. Tossou, Christos Dimitrakakis:
Algorithms for Differentially Private Multi-Armed Bandits. AAAI 2016: 2087-2093 - [c29]Zuhe Zhang, Benjamin I. P. Rubinstein, Christos Dimitrakakis:
On the Differential Privacy of Bayesian Inference. AAAI 2016: 2365-2371 - 2015
- [j12]Christos Dimitrakakis, Aikaterini Mitrokotsa:
Distance-Bounding Protocols: Are You Close Enough? IEEE Secur. Priv. 13(4): 47-51 (2015) - [j11]Christos Dimitrakakis, Aikaterini Mitrokotsa, Serge Vaudenay:
Expected loss analysis for authentication in constrained channels. J. Comput. Secur. 23(3): 309-329 (2015) - [c28]Aristide C. Y. Tossou, Christos Dimitrakakis:
Optimal Advertisement Strategies for Small and Big Companies. AFRICOMM 2015: 94-98 - [c27]Christos Dimitrakakis, Aikaterini Mitrokotsa, Arunesh Sinha:
Workshop Summary of AISec'15: 2015 Workshop on Artificial Intelligent and Security. CCS 2015: 1702 - [c26]Andreea Hossmann-Picu, Zan Li, Zhongliang Zhao, Torsten Braun, Constantinos Marios Angelopoulos, Orestis Evangelatos, José D. P. Rolim, Michela Papandrea, Kamini Garg, Silvia Giordano, Aristide C. Y. Tossou, Christos Dimitrakakis, Aikaterini Mitrokotsa:
Synergistic User ⟷ Context Analytics. ICT Innovations 2015: 163-172 - [e4]Indrajit Ray, Xiaofeng Wang, Kui Ren, Christos Dimitrakakis, Aikaterini Mitrokotsa, Arunesh Sinha:
Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security, AISec 2015, Denver, Colorado, USA, October 16, 2015. ACM 2015, ISBN 978-1-4503-3826-4 [contents] - [i25]Aristide C. Y. Tossou, Christos Dimitrakakis:
Algorithms for Differentially Private Multi-Armed Bandits. CoRR abs/1511.08681 (2015) - [i24]Zuhe Zhang, Benjamin I. P. Rubinstein, Christos Dimitrakakis:
On the Differential Privacy of Bayesian Inference. CoRR abs/1512.06992 (2015) - 2014
- [j10]Christos Dimitrakakis, Guangliang Li, Nikolaos Tziortziotis:
The Reinforcement Learning Competition 2014. AI Mag. 35(3): 61-65 (2014) - [j9]Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas:
Cover tree Bayesian reinforcement learning. J. Mach. Learn. Res. 15(1): 2313-2335 (2014) - [c25]Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein:
Robust and Private Bayesian Inference. ALT 2014: 291-305 - [c24]Christos Dimitrakakis, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein:
Workshop Summary of AISec'14: 2014 Workshop on Artificial Intelligent and Security. CCS 2014: 1555 - [c23]Elena Pagnin, Christos Dimitrakakis, Aysajan Abidin, Aikaterini Mitrokotsa:
On the Leakage of Information in Biometric Authentication. INDOCRYPT 2014: 265-280 - [e3]Christos Dimitrakakis, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein, Gail-Joon Ahn:
Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop, AISec 2014, Scottsdale, AZ, USA, November 7, 2014. ACM 2014, ISBN 978-1-4503-3153-1 [contents] - [i23]Aristide C. Y. Tossou, Christos Dimitrakakis:
Probabilistic inverse reinforcement learning in unknown environments. CoRR abs/1408.2067 (2014) - [i22]Emmanouil G. Androulakis, Christos Dimitrakakis:
Generalised Entropy MDPs and Minimax Regret. CoRR abs/1412.3276 (2014) - 2013
- [j8]Aikaterini Mitrokotsa, Christos Dimitrakakis:
Intrusion detection in MANET using classification algorithms: The effects of cost and model selection. Ad Hoc Networks 11(1): 226-237 (2013) - [j7]Aikaterini Mitrokotsa, Pedro Peris-Lopez, Christos Dimitrakakis, Serge Vaudenay:
On Selecting the Nonce Length in Distance-Bounding Protocols. Comput. J. 56(10): 1216-1227 (2013) - [j6]Pengsheng Zheng, Christos Dimitrakakis, Jochen Triesch:
Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex. PLoS Comput. Biol. 9(1) (2013) - [c22]Blaine Nelson, Christos Dimitrakakis, Elaine Shi:
Summary/overview for artificial intelligence and security (AISec'13). CCS 2013: 1483-1484 - [c21]Christos Dimitrakakis:
Monte-Carlo utility estimates for Bayesian reinforcement learning. CDC 2013: 7303-7308 - [c20]Christos Dimitrakakis, Nikolaos Tziortziotis:
ABC Reinforcement Learning. ICML (3) 2013: 684-692 - [c19]Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas:
Linear Bayesian Reinforcement Learning. IJCAI 2013: 1721-1728 - [c18]Florent Garcin, Christos Dimitrakakis, Boi Faltings:
Personalized news recommendation with context trees. RecSys 2013: 105-112 - [c17]Aristide C. Y. Tossou, Christos Dimitrakakis:
Probabilistic inverse reinforcement learning in unknown environments. UAI 2013 - [p2]Luca Lonini, Christos Dimitrakakis, Constantin A. Rothkopf, Jochen Triesch:
Generalization and Interference in Human Motor Control. Computational and Robotic Models of the Hierarchical Organization of Behavior 2013: 155-176 - [e2]Ahmad-Reza Sadeghi, Blaine Nelson, Christos Dimitrakakis, Elaine Shi:
AISec'13, Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Co-located with CCS 2013, Berlin, Germany, November 4, 2013. ACM 2013, ISBN 978-1-4503-2488-5 [contents] - [i21]Florent Garcin, Christos Dimitrakakis, Boi Faltings:
Personalized News Recommendation with Context Trees. CoRR abs/1303.0665 (2013) - [i20]Christos Dimitrakakis:
Monte-Carlo utility estimates for Bayesian reinforcement learning. CoRR abs/1303.2506 (2013) - [i19]Christos Dimitrakakis, Nikolaos Tziortziotis:
ABC Reinforcement Learning. CoRR abs/1303.6977 (2013) - [i18]Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas:
Cover Tree Bayesian Reinforcement Learning. CoRR abs/1305.1809 (2013) - [i17]Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein:
Robust, Secure and Private Bayesian Inference. CoRR abs/1306.1066 (2013) - [i16]Aristide C. Y. Tossou, Christos Dimitrakakis:
Probabilistic inverse reinforcement learning in unknown environments. CoRR abs/1307.3785 (2013) - 2012
- [j5]Christos Dimitrakakis, Tom Karygiannis, Aikaterini Mitrokotsa:
Guest Editors' Introduction: Special Section on Learning, Games, and Security. IEEE Trans. Dependable Secur. Comput. 9(4): 449-450 (2012) - [c16]Brammert Ottens, Christos Dimitrakakis, Boi Faltings:
DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. AAAI 2012: 528-534 - [c15]Christos Dimitrakakis, Aikaterini Mitrokotsa, Serge Vaudenay:
Expected loss bounds for authentication in constrained channels. INFOCOM 2012: 478-485 - [i15]Christos Dimitrakakis:
Sparse Reward Processes. CoRR abs/1201.2555 (2012) - [i14]Christos Dimitrakakis, Aikaterini Mitrokotsa:
Near-Optimal Node Blacklisting in Adversarial Networks. CoRR abs/1208.5641 (2012) - 2011
- [j4]Christos Dimitrakakis, Samy Bengio:
Phoneme and Sentence-Level Ensembles for Speech Recognition. EURASIP J. Audio Speech Music. Process. 2011 (2011) - [c14]Christos Dimitrakakis:
Robust Bayesian Reinforcement Learning through Tight Lower Bounds. EWRL 2011: 177-188 - [c13]Christos Dimitrakakis, Constantin A. Rothkopf:
Bayesian Multitask Inverse Reinforcement Learning. EWRL 2011: 273-284 - [c12]Constantin A. Rothkopf, Christos Dimitrakakis:
Preference Elicitation and Inverse Reinforcement Learning. ECML/PKDD (3) 2011: 34-48 - [e1]Christos Dimitrakakis, Aris Gkoulalas-Divanis, Aikaterini Mitrokotsa, Vassilios S. Verykios, Yücel Saygin:
Privacy and Security Issues in Data Mining and Machine Learning - International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers. Lecture Notes in Computer Science 6549, Springer 2011, ISBN 978-3-642-19895-3 [contents] - [i13]Constantin A. Rothkopf, Christos Dimitrakakis:
Preference elicitation and inverse reinforcement learning. CoRR abs/1104.5687 (2011) - [i12]Christos Dimitrakakis:
Robust Bayesian reinforcement learning through tight lower bounds. CoRR abs/1106.3651 (2011) - [i11]Christos Dimitrakakis, Constantin A. Rothkopf:
Bayesian multitask inverse reinforcement learning. CoRR abs/1106.3655 (2011) - 2010
- [j3]Aikaterini Mitrokotsa, Christos Dimitrakakis, Pedro Peris-Lopez, Julio César Hernández Castro:
Reid et al.'s distance bounding protocol and mafia fraud attacks over noisy channels. IEEE Commun. Lett. 14(2): 121-123 (2010) - [c11]Christos Dimitrakakis:
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning. ICAART (1) 2010: 259-264 - [c10]Christos Dimitrakakis:
Bayesian variable order Markov models. AISTATS 2010: 161-168 - [p1]Christos Dimitrakakis:
Efficient Methods for Near-Optimal Sequential Decision Making under Uncertainty. Interactive Collaborative Information Systems 2010: 125-153 - [i10]Christos Dimitrakakis:
Context models on sequences of covers. CoRR abs/1005.2263 (2010) - [i9]Christos Dimitrakakis, Aikaterini Mitrokotsa, Serge Vaudenay:
Expected loss analysis of thresholded authentication protocols in noisy conditions. CoRR abs/1009.0278 (2010)
2000 – 2009
- 2009
- [c9]Christos Dimitrakakis, Aikaterini Mitrokotsa:
Statistical Decision Making for Authentication and Intrusion Detection. ICMLA 2009: 409-414 - [i8]Christos Dimitrakakis:
Tree Exploration for Bayesian RL Exploration. CoRR abs/0902.0392 (2009) - [i7]Christos Dimitrakakis, Aikaterini Mitrokotsa:
Statistical Decision Making for Authentication and Intrusion Detection. CoRR abs/0910.0483 (2009) - [i6]Christos Dimitrakakis:
Complexity of stochastic branch and bound methods for belief tree search in Bayesian reinforcement learning. CoRR abs/0912.5029 (2009) - 2008
- [j2]Christos Dimitrakakis, Michail G. Lagoudakis:
Rollout sampling approximate policy iteration. Mach. Learn. 72(3): 157-171 (2008) - [c8]Christos Dimitrakakis:
Tree Exploration for Bayesian RL Exploration. CIMCA/IAWTIC/ISE 2008: 1029-1034 - [c7]Christos Dimitrakakis, Michail G. Lagoudakis:
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration. EWRL 2008: 27-40 - [c6]Christos Dimitrakakis, Christian Savu-Krohn:
Cost-Minimising Strategies for Data Labelling: Optimal Stopping and Active Learning. FoIKS 2008: 96-111 - [c5]Christos Dimitrakakis, Michail G. Lagoudakis:
Rollout Sampling Approximate Policy Iteration. ECML/PKDD (1) 2008: 7 - [i5]Christos Dimitrakakis, Michail G. Lagoudakis:
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration. CoRR abs/0805.2015 (2008) - [i4]Christos Dimitrakakis, Michail G. Lagoudakis:
Rollout Sampling Approximate Policy Iteration. CoRR abs/0805.2027 (2008) - [i3]Aikaterini Mitrokotsa, Christos Dimitrakakis, Christos Douligeris:
Intrusion Detection Using Cost-Sensitive Classification. CoRR abs/0807.2043 (2008) - 2007
- [i2]Christos Dimitrakakis, Christian Savu-Krohn:
Cost-minimising strategies for data labelling : optimal stopping and active learning. CoRR abs/0708.1242 (2007) - 2006
- [c4]Christos Dimitrakakis:
Nearly Optimal Exploration-Exploitation Decision Thresholds. ICANN (1) 2006: 850-859 - [i1]Christos Dimitrakakis:
Nearly optimal exploration-exploitation decision thresholds. CoRR abs/cs/0604010 (2006) - 2005
- [j1]Christos Dimitrakakis, Samy Bengio:
Online adaptive policies for ensemble classifiers. Neurocomputing 64: 211-221 (2005) - [c3]Christos Dimitrakakis, Samy Bengio:
Boosting word error rates. ICASSP (5) 2005: 501-504 - 2004
- [c2]Christos Dimitrakakis, Samy Bengio:
Online policy adaptation for ensemble classifiers. ESANN 2004: 19-24 - [c1]Christos Dimitrakakis, Samy Bengio:
Boosting HMMs with an application to speech recognition. ICASSP (5) 2004: 621-624
Coauthor Index
Thomas Kleine Buening
aka: Thomas Kleine Büning
aka: Thomas Kleine Büning
Aristide C. Y. Tossou
aka: Aristide Charles Yedia Tossou
aka: Aristide Charles Yedia Tossou
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