Christos Dimitrakakis

发表

Bayesian Multitask Inverse Reinforcement Learning

Christos Dimitrakakis, C. Rothkopf, 2011, EWRL.

TORCS, The Open Racing Car Simulator

Christos Dimitrakakis, Eric Espié, Christophe Guionneau, 2005 .

The Reinforcement Learning Competition 2014

Christos Dimitrakakis, Nikolaos Tziortziotis, Guangliang Li, 2014, AI Mag..

Rollout sampling approximate policy iteration

Christos Dimitrakakis, Michail G. Lagoudakis, M. Lagoudakis, 2008, Machine Learning.

TORCS, The Open Racing Car Simulator, v1.3.5

Christos Dimitrakakis, Rémi Coulom, Eric Espié, 2013 .

Linear Bayesian Reinforcement Learning

Christos Dimitrakakis, Konstantinos Blekas, Nikolaos Tziortziotis, 2013, IJCAI.

Bayesian Differential Privacy through Posterior Sampling

Benjamin I. P. Rubinstein, Blaine Nelson, Christos Dimitrakakis, 2013 .

Estimates of Parameter Distributions for Optimal Action Selection

Samy Bengio, Christos Dimitrakakis, 2004 .

Gradient-based Estimates of Return Distributions

Christos Dimitrakakis, 2005 .

Gradient estimates of return

Samy Bengio, Christos Dimitrakakis, 2005 .

Generalization in Reinforcement Learning

Christos Dimitrakakis, Dr. Shimon Whiteson, Wouter Josemans, 2009 .

Christos Dimitrakakis, 2010 .

Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning

Christos Dimitrakakis, D. Basu, Hannes Eriksson, 2020, ICBINB@NeurIPS.

UvA-DARE ( Digital Academic Repository ) Rollout sampling approximate policy iteration

M. Lagoudakis, Christos Dimitrakakis, 2008 .

Bayesian variable order Markov models: Towards Bayesian predictive state representations

Christos Dimitrakakis, 2009 .

The 29th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS) 2–3 June 2016, Malmö, Sweden Editor

Christos Dimitrakakis, P. Davidsson, F. Heintz, 2016 .

Differential Privacy in a Bayesian setting through posterior sampling

Benjamin I. P. Rubinstein, Blaine Nelson, Christos Dimitrakakis, 2013 .

A ug 2 00 7 Optimal stopping rules for active learning

Christos Dimitrakakis, Christian Savu-Krohn, 2008 .

The reinforcement learning competition

Christos Dimitrakakis, Nikolaos Tziortziotis, Christos Dimitrakakis, 2014 .

Privacy and Security Issues in Data Mining and Machine Learning - International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers

Christos Dimitrakakis, Yucel Saygin, Aris Gkoulalas-Divanis, 2011, PSDML.

Proceedings of the ACM Conference on Computer and Communications Security: Foreword

Elaine Shi, Christos Dimitrakakis, Blaine Nelson, 2013, CCS 2013.

Interactive Inverse Reinforcement Learning for Cooperative Games

Thomas Kleine Buening, Thomas Kleine Buening, Christos Dimitrakakis, 2021, ICML.

Near-Optimal Node Blacklisting in Adversarial Networks

Christos Dimitrakakis, A. Mitrokotsa, Aikaterini Mitrokotsa, 2012, Decision and Game Theory for Security.

Subjective Fairness

Christos Dimitrakakis, Goran Radanovic, Y. Liu, 2020 .

Beliefbox: A framework for statistical methods in sequential decision making

Christos Dimitrakakis, Aristide C. Y. Tossou, Nikolaos Tziortziotis, 2007 .

Foreword - Proceedings of the ACM Conference on Computer and Communications Security

Gail-Joon Ahn, Christos Dimitrakakis, Benjamin I. P. Rubinstein, 2014 .

On Meritocracy in Optimal Set Selection

Christos Dimitrakakis, D. Basu, Anne-Marie George, 2021, EAAMO.

A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds

Christos Dimitrakakis, Katja Hofmann, Aristide C. Y. Tossou, 2020, AAMAS.

Probabilistic inverse reinforcement learning in unknown environments pdf

Christos Dimitrakakis, Aristide C. Y. Tossou, Christos Dimitrakakis, 2013, UAI.

Bayesian Reinforcement Learning via Deep, Sparse Sampling

Christos Dimitrakakis, D. Basu, Divya Grover, 2019, AISTATS.

Deeper & Sparser Exploration pdf

Christos Dimitrakakis, Divya Grover, Christos Dimitrakakis, 2019, ArXiv.

Efficient Methods for Near-Optimal Sequential Decision Making under Uncertainty

Christos Dimitrakakis, Christos Dimitrakakis, 2010, Interactive Collaborative Information Systems.

Epistemic Risk-Sensitive Reinforcement Learning pdf

Christos Dimitrakakis, Hannes Eriksson, Christos Dimitrakakis, 2019, ESANN.

ABC Reinforcement Learning pdf

Christos Dimitrakakis, Nikolaos Tziortziotis, Christos Dimitrakakis, 2013, ICML.

Personalized news recommendation with context trees

Boi Faltings, Christos Dimitrakakis, Florent Garcin, 2013, RecSys.

Bayesian optimization in ab initio nuclear physics pdf

Alexander Schliep, Christos Dimitrakakis, Devdatt P. Dubhashi, 2019, Journal of Physics G: Nuclear and Particle Physics.

Thompson Sampling for Stochastic Bandits with Graph Feedback

Christos Dimitrakakis, Devdatt P. Dubhashi, Aristide C. Y. Tossou, 2017, AAAI.

Achieving Privacy in the Adversarial Multi-Armed Bandit pdf

Christos Dimitrakakis, Aristide C. Y. Tossou, Christos Dimitrakakis, 2017, AAAI.

Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions pdf

Christos Dimitrakakis, Hannes Eriksson, Debabrota Basu, 2020, ArXiv.

Cover tree Bayesian reinforcement learning pdf

Christos Dimitrakakis, Konstantinos Blekas, Nikolaos Tziortziotis, 2013, J. Mach. Learn. Res..

SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning pdf

Christos Dimitrakakis, Hannes Eriksson, Debabrota Basu, 2021, UAI.

Calibrated Fairness in Bandits pdf

Yang Liu, Debmalya Mandal, Christos Dimitrakakis, 2017, ArXiv.

Algorithms for Differentially Private Multi-Armed Bandits

Christos Dimitrakakis, Aristide C. Y. Tossou, Christos Dimitrakakis, 2015, AAAI.

Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty

Christos Dimitrakakis, D. Basu, Hannes Eriksson, 2022, ArXiv.

Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex

Christos Dimitrakakis, Jochen Triesch, Pengsheng Zheng, 2013, PLoS Comput. Biol..

DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems

Boi Faltings, Christos Dimitrakakis, Brammert Ottens, 2012, AAAI.

Robust and Private Bayesian Inference

Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, 2013, ALT.

Differential Privacy for Bayesian Inference through Posterior Sampling

Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, 2017, J. Mach. Learn. Res..

Fair Set Selection: Meritocracy and Social Welfare pdf

Christos Dimitrakakis, Debabrota Basu, Meirav Segal, 2021, ArXiv.

Cost-Minimising Strategies for Data Labelling: Optimal Stopping and Active Learning pdf

Christos Dimitrakakis, Christian Savu-Krohn, Christos Dimitrakakis, 2007, FoIKS.

Preference elicitation and inverse reinforcement learning

Christos Dimitrakakis, Constantin A. Rothkopf, Christos Dimitrakakis, 2011, ECML/PKDD.

Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities pdf

Christos Dimitrakakis, Debabrota Basu, Aristide C. Y. Tossou, 2019, ArXiv.

Semantic Similarity Metrics for Evaluating Source Code Summarization

D. Parkes, Christos Dimitrakakis, Goran Radanovic, 2017, 2022 IEEE/ACM 30th International Conference on Program Comprehension (ICPC).

Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost? pdf

Christos Dimitrakakis, Debabrota Basu, Aristide C. Y. Tossou, 2019, ArXiv.

Optimal Advertisement Strategies for Small and Big Companies

Christos Dimitrakakis, Aristide C. Y. Tossou, Christos Dimitrakakis, 2015, AFRICOMM.

Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games pdf

Katja Hofmann, Christos Dimitrakakis, Aristide C. Y. Tossou, 2019, ArXiv.

On the Leakage of Information in Biometric Authentication

Christos Dimitrakakis, Aikaterini Mitrokotsa, Elena Pagnin, 2014, INDOCRYPT.

Ensembles for sequence learning

Christos Dimitrakakis, Christos Dimitrakakis, 2006 .

Nearly Optimal Exploration-Exploitation Decision Thresholds

Christos Dimitrakakis, Christos Dimitrakakis, 2006, ICANN.

Generalization and Interference in Human Motor Control

Christos Dimitrakakis, Jochen Triesch, Luca Lonini, 2013, Computational and Robotic Models of the Hierarchical Organization of Behavior.

Exploration in POMDPs

Christos Dimitrakakis, Christos Dimitrakakis, 2008 .

Multi-View Decision Processes: The Helper-AI Problem

Christos Dimitrakakis, David C. Parkes, Goran Radanovic, 2017, NIPS.

Computational and Robotic Models of the Hierarchical Organization of Behavior

Christos Dimitrakakis, Jochen Triesch, Luca Lonini, 2012 .

Bayesian Inference for Least Squares Temporal Difference Regularization

Christos Dimitrakakis, Nikolaos Tziortziotis, Christos Dimitrakakis, 2017, ECML/PKDD.

Online adaptive policies for ensemble classifiers

Samy Bengio, Christos Dimitrakakis, Samy Bengio, 2005, Neurocomputing.

Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer

Christos Dimitrakakis, D. Basu, Hannes Eriksson, 2023, AAMAS.

Christos Dimitrakakis, B. Faltings, Brammert Ottens, 2012, AAAI.

Near-optimal blacklisting

Christos Dimitrakakis, Aikaterini Mitrokotsa, Christos Dimitrakakis, 2012, Comput. Secur..

Bayesian variable order Markov models

Christos Dimitrakakis, Christos Dimitrakakis, 2010, AISTATS.

Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning

Christos Dimitrakakis, Christos Dimitrakakis, 2009, ICAART.

Environment Design for Inverse Reinforcement Learning

Christos Dimitrakakis, T. Buening, 2022, ArXiv.

Near-optimal Bayesian Solution For Unknown Discrete Markov Decision Process.

Aristide C. Y. Tossou, Aristide Tossou, Debabrota Basu, 2019 .

Near-optimal Reinforcement Learning using Bayesian Quantiles pdf

Christos Dimitrakakis, Debabrota Basu, Aristide C. Y. Tossou, 2019, ArXiv.

Tree Exploration for Bayesian RL Exploration

Christos Dimitrakakis, Christos Dimitrakakis, 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

Online statistical estimation for vehicle control

Christos Dimitrakakis, Christos Dimitrakakis, 2006 .

Boosting word error rates

Samy Bengio, Christos Dimitrakakis, Samy Bengio, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Boosting HMMs with an application to speech recognition

Samy Bengio, Christos Dimitrakakis, Samy Bengio, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Minimax-Bayes Reinforcement Learning

Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, 2023, AISTATS.

On the Differential Privacy of Bayesian Inference pdf

Christos Dimitrakakis, Benjamin I. P. Rubinstein, Zuhe Zhang, 2015, AAAI.

Bayesian Fairness

Yang Liu, Christos Dimitrakakis, David C. Parkes, 2019, AAAI.

Robust Bayesian Reinforcement Learning through Tight Lower Bounds pdf

Christos Dimitrakakis, Christos Dimitrakakis, 2011, EWRL.