2015

  • Aristide C. Y. Tossou, Christos Dimitrakakis
    Algorithms for Differentially Private Multi-Armed Bandits
    AAAI 2016.
  • Zuhe Zhang, Benjamin Rubinstein and Christos Dimitrakakis
    On the Differential Privacy of Bayesian Inference
    AAAI 2016.
  • Christos Dimitrakakis, Aikaterini Mitrokotsa
    Near Optimal Blacklisting
    Computers and Security [Abstract][Preprint PDF]
  • Aristide C. Y. Tossou, Christos Dimitrakakis
    Differentially private, multi-agent multi-armed bandits
    European Workshop on Reinforcement learning (presentation only)
  • Christos Dimitrakakis, Aikaterini Mitrokotsa
    Distance bounding protocols: are you close enough?
    IEEE Security and Privacy (to appear).

2014

  • Bernhard Wymann, Christos Dimitrakakis, Eric Espie, Christophe Guionneau and Andrew Sumner. TORCS: The open racing car simulator[PDF]
  • Christos Dimitrakakis and Nikolaos Tziortziotis, 2014. Usable ABC Reinforcement Learning [PDF]
    NIPS 2014, ABC in Montreal workshop.
  • Emmanouil Androulakis and Christos Dimitrakakis, 2014. Generalised entropy MDPs and Minimax Regret
    NIPS 2014, From bad models to good policies workshop.
  • Christos Dimitrakakis, Aikaterini Mitrokotsa and Serge Vaudenay, 2014
    Expected loss bounds for authentication in constrained channels.[Article] [Preprint PDF]
    Journal of Computer Security.
  • Christos Dimitrakakis, Nikolaos Tziortziotis, Guangliang Li
    The Reinforcement Learning Competition[Article]
    AI Magazine, 2014.
  • Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Bejnamin Rubinstein.
    Robust and private Bayesian inference [Abstract] [Preprint PDF] [Extended version]
    [Slides]
    Algorithmic Learning Theory (ALT-2014).
  • Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Bejnamin Rubinstein.
    Differential privay and private Bayesian inference [Extended abstract] NordSec 2014 (poster).
  • Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas, 2014
    Cover tree Bayesian reinforcement learning
    Journal of Machine Learning Research [Abstract] [PDF]
  • Brammert Ottens, Christos Dimitrakakis and Boi Faltings, 2014
    DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems
    Journal of Artificial Intelligence Research (accepted w revisions)
  • Elena Pagnin, Christos Dimitrakakis, Aysajan Abidin, Aikaterini Mitrokotsa. On the Leakage of Information in Biometric Authentication
    Indocrypt 2014.

2013

  • Florent Garcin, Christos Dimtirakakis, Boi Faltings
    Personalized news recommendation with context trees
    ACM Recommender Systems Conference, RecSys 2013 [PDF]
  • Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas, 2013
    Cover tree Bayesian reinforcement learning
    (draft) arXiv:305.1809 [Abstract] [PDF]
  • Aristide Toussou, Christos Dimitrakakis 2013
    Probabilistic inverse reinforcement learning in unknown environments
    Conference on Uncertainty in Artificial Intelligence, UAI 2013, arXiv:1307.3785 [Abstract] [PDF]
  • Christos Dimitrakakis, Nikolaos Tziortziotis,2013
    ABC Reinforcement Learning
    International Conference on Machine Learning, ICML 2013, arXiv:1303.2977, [Abstract] [PDF]
  • Christos Dimitrakakis, 2013
    Monte-Carlo utility estimates for Bayesian reinforcement learning
    IEEE Conference on Decision and Control, arXiv:1303.2506 [Abstract] [PDF]
  • Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas, 2013
    Linear Bayesian reinforcement learning
    International Joint Conference on Artificial Intelligence, IJCAI 2013. [PDF]
  • Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Bejnamin Rubinstein.
    Robust and private Bayesian inference [Abstract] [PDF]
  • Aikaterini Mitrokotsa, Pedro Peris-Lopez, Christos Dimitrakakis and Serge Vaudenay, 2012
    On selecting the nonce length in distance bounding protocols
    The Computer Journal
  • [PDF]
  • Pengsheng Zhang, C. Dimitrakakis and J. Triesch, 2013.
    Network Self-organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex
    PLoS Computational Biology, [Article]

2012

  • Christos Dimitrakakis and Aikaterini Mitrokotsa, 2012
    Near-optimal Node Blacklisting in Adversarial Networks
    Conference on Decision and Game Theory for Security, GameSec 2012. [Abstract] [PDF]
  • Aikaterini Mitrokotsa and Christos Dimitrakakis, 2012
    Intrusion detection in MANET using classification algorithms: the effects of cost and model selection.
    Ad-Hoc Networks
  • Brammert Ottens, Christos Dimitrakakis and Boi Faltings, 2012
    DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems
    Conference on Artificial Ingelligence, AAAI 2012[PDF]
  • Christos Dimitrakakis, Aikaterini Mitrokotsa and Serge Vaudenay, 2012
    Expected loss bounds for authentication in constrained channels
    Proceedings of the 31st IEEE International Conference on Computer Communications (INFOCOM 2012), 478-485 [Draft PDF]
  • L. Lonini, C. Dimitrakakis, C. A. Rothkopf, J. Triesch
    Generalization and interference in human motor control
    In Computational and Robotic Models of the Hierarchical Organization of Behavior, Springer
  • Christos Dimitrakakis, 2012
    Sparse Reward Processes
    arXiv:1201.2555v1 [Abstract] [PDF]

2011

  • Christos Dimitrakakis
    Robust Bayesian reinforcement learning through tight lower bounds
    [PDF] [C++ Code] EWRL 2011.
  • Christos Dimitrakakis, Constantin Rothkopf
    Bayesian multitask inverse reinforcement learning
    [PDF] [C++ Code] European workshop on reinforcement learning, EWRL 2011.
  • Constantin Rothkopf, Christos Dimitrakakis
    Preference elicitation and inverse reinforcement learning
    arXiv 1104.5687 [Abstract] [PDF] [C++ Code] European conference on machine learning, ECML 2011.
  • Pengsheng Zhang, Christos Dimitrakakis and Jochen Triesch, 2011
    Network Self-organization Explains the Distribution of Synaptic Efficacies in Neocortex
    Proceedings of DevLeaNN: A Workshop on Development and Learning in Artificial Neural Networks, p. 8-9. [PDF]
  • C. Dimitrakakis, S. Bengio, 2011
    Phoneme and sentence-level ensembles for speech recognition
    EURASIP Journal on Audio, Speech and Music Processing, Article ID 426792, 17 pages, 2011. [Abstract] [PDF]

2010

  • Christos Dimitrakakis, Aikaterini Mitrokotsa and Serge Vaudenay
    Expected loss analysis of thresholded authentication protocols in noisy conditions
    arXiv 1009.0278 [Abstract] [PDF]
  • Pedro Peris-Lopez, Julio C. Hernandez-Castro, Christos Dimitrakakis, Aikaterini Mitrokotsa and Juan M. E. Tapiador
    Shedding light on RFID distance bounding protocols and terrorist fraud attacks
    arXiv 0906.4618 [Abstract] [PDF]
  • Christos Dimitrakakis, 2010
    Context model inference for large or partially observable MDPs
    ICML Workshop on reinforcement learning and search in very large spaces. [PDF] [Extended PDF]
  • Christos Dimitrakakis, 2010.
    Context models on sequences of covers [Talk] [PDF] [Abstract] arXiv:1005.2263.
  • Christos Dimitrakakis, 2010
    Bayesian variable order Markov models.
    In Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS), volume 9 of JMLR: W.CP, Chia Laguna Resort, Sardinia, Italy, 2010. [PDF] [Abstract][BibTeX] [C++ Code]
    See also technical report: TR-UVA-09-04.

2009

  • Christos Dimitrakakis, 2009. Efficient Methods for Near-Optimal Sequential Decision Making Under Uncertainty. In Robert Babuska and Frans Groen, editors, Interactive Collaborative Information Systems, SCI 81, pages 125-153, Springer, 2010. [Draft PDF]. The final publication is available at www.springerlink.com.
  • A. Mitrokotsa, C. Dimitrakakis, P. Peris-Lopez, J. C. Hernandez-Castro, 2009
    Reid et al.'s Distance Bounding Protocol and Mafia Fraud Attacks over Noisy Channels
    IEEE Communication Letters 14(2):121-123, 2010. [PDF] [Abstract]
  • Christos Dimitrakakis, 2009
    Complexity of stochastic branch and bound methods for belief tree search in Bayesian reinforcement learning.
    International conference on Agents and Artificial intelligence (ICAART 2010), pages 259-254.
    [PDF] [Abstract] [PDF (short version)]
  • Christos Dimitrakakis and Aikaterini Mitrokotsa, 2009
    Statistical decision making for authentication and intrusion detection
    Proceedings of the 8th international conference on machine learning and applications (ICMLA 2009), pp. 409-414. [PDF]. [Abstract].

2008

  • Christos Dimitrakakis and Michail Lagoudakis, 2008
    Rollout Sampling Approximate Policy Iteration
    Machine Learning 72(3), [Abstract] [PDF] [BibTeX] [Code]
  • Christos Dimitrakakis, 2008 (invited)
    Exploration in POMDPs [PDF]
    Österreichische Gesellschaft für Artificial Intelligence Journal 27 (1): 24--31, 2008
  • Christos Dimitrakakis 2008
    Tree Exploration for Bayes RL Exploration
    International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA08, Vienna, Austria. [arXiv]
  • Christos Dimitrakakis and Michail Lagoudakis, 2008
    Rollout Sampling Approximate Policy Iteration
    ECML 2008 (Abstract only: Full article selected for publication in the Machine Learning journal)
  • Christos Dimitrakakis and Michail Lagoudakis, 2008
    Algorithms and Bounds for Sampling-based Approximate Policy Iteration, [Abstract] [PDF] [BibTeX]
    [Code] EWRL'08, Lilles, France

2007

  • Christos Dimitrakakis, Christian Savu-Krohn, 2007
    Cost-minimising strategies for data labelling: optimal stopping and active learning
    Foundations of Information and Knowledge Systems, FOIKS 2008, [Abstract] [PDF] [BibTeX]
  • Aikaterini Mitrokotsa, Christos Dimitrakakis, Christos Douligeris, 2007
    Intrusion Detection using cost-sensitive classification
    EC2ND'07

2006

  • PhD thesis: Ensembles for Sequence Learning [Gzipped PostScript] [PDF] [BibTex]
    EPFL, Lausanne, Switzerland, 2006.
  • Christos Dimitrakakis, 2006
    Nearly optimal exploration-exploitation decision thresholds [PDF]
    ICANN 2006

2005

  • Christos Dimitrakakis, Samy Bengio, 2005
    Online Policy Adaptation for Ensemble Classifiers[Gzipped PostScript][PDF]
    Neurocomputing 64 (2005) 211-221.
    Note that this is an extended version of the conference paper with the same title.
  • Christos Dimitrakakis, Samy Bengio, 2005
    Gradient-based Estimates of Return Distributions

    PASCAL workshop on Principled Methods of Trading Exploration and Exploitation. [PDF]
  • Christos Dimitrakakis, Samy Bengio, 2005
    Boosting Word Error Rates[PDF]
    ICASSP 2005

2004

  • Christos Dimitrakakis, Samy Bengio, 2004
    Online Policy Adaptation for Ensemble Classifiers[Gzipped PostScript][PDF][BibTeX][Abstract]
    ESANN 2004
  • (Extended article invited for publication in the Neurocomputing journal)
  • Christos Dimitrakakis, Samy Bengio, 2004
    Boosting HMMs with an application to Speech Recognition[PDF]
    ICASSP 2004

1999

  • Christos Dimitrakakis, 1999
    Reinforcement Learning with Continuous Action Values[gzipped postscript]
    (unpublished)