Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Christos Dimitrakakis

Christos Dimitrakakis

Fair Set Selection: Meritocracy and Social Welfare


Feb 23, 2021
Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis


  Access Paper or Ask Questions

SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning


Feb 22, 2021
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

Figure 1 for SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning
Figure 2 for SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning
Figure 3 for SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning
Figure 4 for SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning
* 17 pages, 6 figures 
  Access Paper or Ask Questions

Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions


Feb 08, 2020
Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu

Figure 1 for Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions
Figure 2 for Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions
Figure 3 for Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions
Figure 4 for Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions
* 18 pages, 6 figures 
  Access Paper or Ask Questions

Near-optimal Bayesian Solution For Unknown Discrete Markov Decision Process


Jul 09, 2019
Aristide Tossou, Christos Dimitrakakis, Debabrota Basu

Figure 1 for Near-optimal Bayesian Solution For Unknown Discrete Markov Decision Process
* Improved the text and added detailed proofs of claims Change title to better express the solution proposed 
  Access Paper or Ask Questions

Near-optimal Reinforcement Learning using Bayesian Quantiles


Jun 20, 2019
Aristide Tossou, Debabrota Basu, Christos Dimitrakakis

Figure 1 for Near-optimal Reinforcement Learning using Bayesian Quantiles
* arXiv admin note: substantial text overlap with arXiv:1905.12425 
  Access Paper or Ask Questions

Epistemic Risk-Sensitive Reinforcement Learning


Jun 14, 2019
Hannes Eriksson, Christos Dimitrakakis

Figure 1 for Epistemic Risk-Sensitive Reinforcement Learning
Figure 2 for Epistemic Risk-Sensitive Reinforcement Learning
* 8 pages, 2 figures 
  Access Paper or Ask Questions

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


Jun 04, 2019
Aristide Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann

Figure 1 for Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games

  Access Paper or Ask Questions

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


May 29, 2019
Debabrota Basu, Christos Dimitrakakis, Aristide Tossou

Figure 1 for Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost?
* 15 pages, 1 figure, 9 theorems 
  Access Paper or Ask Questions

Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities


May 27, 2019
Aristide Tossou, Debabrota Basu, Christos Dimitrakakis

Figure 1 for Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities
Figure 2 for Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities
Figure 3 for Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities

  Access Paper or Ask Questions

Randomised Bayesian Least-Squares Policy Iteration


Apr 06, 2019
Nikolaos Tziortziotis, Christos Dimitrakakis, Michalis Vazirgiannis

Figure 1 for Randomised Bayesian Least-Squares Policy Iteration
Figure 2 for Randomised Bayesian Least-Squares Policy Iteration
Figure 3 for Randomised Bayesian Least-Squares Policy Iteration
Figure 4 for Randomised Bayesian Least-Squares Policy Iteration
* European Workshop on Reinforcement Learning 14, October 2018, Lille, France 
  Access Paper or Ask Questions

Deeper & Sparser Exploration


Feb 07, 2019
Divya Grover, Christos Dimitrakakis

Figure 1 for Deeper & Sparser Exploration
Figure 2 for Deeper & Sparser Exploration
Figure 3 for Deeper & Sparser Exploration
Figure 4 for Deeper & Sparser Exploration

  Access Paper or Ask Questions

Bayesian fairness


Nov 04, 2018
Christos Dimitrakakis, Yang Liu, David Parkes, Goran Radanovic

Figure 1 for Bayesian fairness
Figure 2 for Bayesian fairness
Figure 3 for Bayesian fairness
Figure 4 for Bayesian fairness
* 13 pages, 8 figures, to appear at AAAI 2019 
  Access Paper or Ask Questions

On The Differential Privacy of Thompson Sampling With Gaussian Prior


Jun 24, 2018
Aristide C. Y. Tossou, Christos Dimitrakakis

* Accepted in Privacy in Machine Learning and Artificial Intelligence Workshop 2018 
  Access Paper or Ask Questions

Nearly optimal exploration-exploitation decision thresholds


Jun 04, 2018
Christos Dimitrakakis

Figure 1 for Nearly optimal exploration-exploitation decision thresholds
Figure 2 for Nearly optimal exploration-exploitation decision thresholds
* 10 pages, 2 figures; IDIAP Research Report. Originally published in ICANN 2006. This version updates the paper with some links to previous and followup work 
  Access Paper or Ask Questions

Learning to Match


Jul 30, 2017
Philip Ekman, Sebastian Bellevik, Christos Dimitrakakis, Aristide Tossou

Figure 1 for Learning to Match
Figure 2 for Learning to Match
Figure 3 for Learning to Match
Figure 4 for Learning to Match
* 5 pages. This version will be presented at the VAMS Recsys workshop 2017 
  Access Paper or Ask Questions

Calibrated Fairness in Bandits


Jul 06, 2017
Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes

* To be presented at the FAT-ML'17 workshop 
  Access Paper or Ask Questions

Thompson Sampling For Stochastic Bandits with Graph Feedback


Jan 16, 2017
Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt Dubhashi

Figure 1 for Thompson Sampling For Stochastic Bandits with Graph Feedback
Figure 2 for Thompson Sampling For Stochastic Bandits with Graph Feedback

  Access Paper or Ask Questions

Achieving Privacy in the Adversarial Multi-Armed Bandit


Jan 16, 2017
Aristide C. Y. Tossou, Christos Dimitrakakis

Figure 1 for Achieving Privacy in the Adversarial Multi-Armed Bandit

  Access Paper or Ask Questions

Bayesian Differential Privacy through Posterior Sampling


Dec 23, 2016
Christos Dimitrakakis, Blaine Nelson, and Zuhe Zhang, Aikaterini Mitrokotsa, Benjamin Rubinstein

Figure 1 for Bayesian Differential Privacy through Posterior Sampling
* 38 pages; An earlier version of this article was published in ALT 2014. This version has corrections and additional results 
  Access Paper or Ask Questions

On the Differential Privacy of Bayesian Inference


Dec 22, 2015
Zuhe Zhang, Benjamin Rubinstein, Christos Dimitrakakis

Figure 1 for On the Differential Privacy of Bayesian Inference
Figure 2 for On the Differential Privacy of Bayesian Inference
* AAAI 2016, Feb 2016, Phoenix, Arizona, United States 
  Access Paper or Ask Questions

Algorithms for Differentially Private Multi-Armed Bandits


Nov 27, 2015
Aristide Tossou, Christos Dimitrakakis

Figure 1 for Algorithms for Differentially Private Multi-Armed Bandits
Figure 2 for Algorithms for Differentially Private Multi-Armed Bandits
* AAAI 2016, Feb 2016, Phoenix, Arizona, United States 
  Access Paper or Ask Questions

Generalised Entropy MDPs and Minimax Regret


Dec 10, 2014
Emmanouil G. Androulakis, Christos Dimitrakakis

* 7 pages, NIPS workshop "From bad models to good policies" 
  Access Paper or Ask Questions

Personalized News Recommendation with Context Trees


Nov 03, 2014
Florent Garcin, Christos Dimitrakakis, Boi Faltings

Figure 1 for Personalized News Recommendation with Context Trees
Figure 2 for Personalized News Recommendation with Context Trees
Figure 3 for Personalized News Recommendation with Context Trees
Figure 4 for Personalized News Recommendation with Context Trees
* Proceedings of the 7th ACM conference on Recommender systems (2013), pp. 105--112 
  Access Paper or Ask Questions

Probabilistic inverse reinforcement learning in unknown environments


Aug 09, 2014
Aristide Tossou, Christos Dimitrakakis

Figure 1 for Probabilistic inverse reinforcement learning in unknown environments
Figure 2 for Probabilistic inverse reinforcement learning in unknown environments
Figure 3 for Probabilistic inverse reinforcement learning in unknown environments
* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 
  Access Paper or Ask Questions

Cover Tree Bayesian Reinforcement Learning


May 02, 2014
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas

Figure 1 for Cover Tree Bayesian Reinforcement Learning
Figure 2 for Cover Tree Bayesian Reinforcement Learning
Figure 3 for Cover Tree Bayesian Reinforcement Learning

  Access Paper or Ask Questions

ABC Reinforcement Learning


Jun 28, 2013
Christos Dimitrakakis, Nikolaos Tziortziotis

Figure 1 for ABC Reinforcement Learning
Figure 2 for ABC Reinforcement Learning
* Corrected version of paper appearing in ICML 2013 
  Access Paper or Ask Questions

Monte-Carlo utility estimates for Bayesian reinforcement learning


Mar 11, 2013
Christos Dimitrakakis

Figure 1 for Monte-Carlo utility estimates for Bayesian reinforcement learning
Figure 2 for Monte-Carlo utility estimates for Bayesian reinforcement learning
Figure 3 for Monte-Carlo utility estimates for Bayesian reinforcement learning
* 6 pages, 4 figures, 1 table, submitted to IEEE conference on decision and control 
  Access Paper or Ask Questions

Sparse Reward Processes


Sep 05, 2012
Christos Dimitrakakis

Figure 1 for Sparse Reward Processes
Figure 2 for Sparse Reward Processes
* 14 pages, 4 figures 
  Access Paper or Ask Questions

Bayesian multitask inverse reinforcement learning


Nov 17, 2011
Christos Dimitrakakis, Constantin Rothkopf

Figure 1 for Bayesian multitask inverse reinforcement learning
Figure 2 for Bayesian multitask inverse reinforcement learning
Figure 3 for Bayesian multitask inverse reinforcement learning
Figure 4 for Bayesian multitask inverse reinforcement learning
* Recent Advances in Reinforcement Learning LNCS 7188, pp. 273-284, 2012 
 * Corrected version. 13 pages, 8 figures 
  Access Paper or Ask Questions