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Dr. Pedro Ortega

 

Bild von Ortega, Pedro, Dr.

Pedro Ortega

Position: Postdoc  Abteilung: Alumni Braun

I am a Postdoctoral Research Fellow at the Max-Planck Institutes for Biological Cybernetics and Intelligent Systems. I am a member of the Sensorimotor Learning and Decision-Making Group headed by Daniel A. Braun.

 

I obtained my PhD in Autonomous Systems at the University of Cambridge, UK, under the supervision of Zoubin Ghahramani, and my BSc in Engineering at the University of Chile.

 

I'm interested in the foundations of Machine Learning, and I study the links between: information theory, learning, control, economics, causality, statistical mechanics, ergodic theory and complexity theory. Most importantly, I'm a huge fan of elegant, minimalistic algorithms that are practically simple, computationally efficient, and formally sound.

I have recently focused my efforts on information-theoretic and statistical mechanical approaches to adaptive control, leading to contributions in bounded rationality models and recasting adaptive control as a causal inference problem. I have also worked on causal induction, and on game- and decision-theoretic models in computational neuroscience.

Education

  • 2006-2011: PhD in Engineering, University of Cambridge, United Kingdom
  • 1998-2005: Computer Engineering, School of Engineering, Universidad de Chile
  • 1995-1997: Secondary, Liceo Experimental Manuel de Salas, Santiago, Chile
  • 1990-1994: Secondary, Gymnasium Typus B&C, Kantonsschule Oerlikon, Zürich, Switzerland
  • 1984-1990: Primary, Schulhaus Probstei, Zürich, Switzerland

 

Academic Experience

  • 2011-today: Postdoctoral Fellow, Max-Planck Institute for Intelligent Systems and Max-Planck Institute for Biological Cybernetics.
  • 2010-2011: Research Associate, Engineering Design Centre, Univ. of Cambridge
  • 2005: Lecturer, Information Theory and Neural Networks, Univ. of Chile
  • 2000-2001, 2003: T.A. in Mechanics, Univ. of Chile
  • 2000: T.A. in Computing I, Univ. of Chile
  • 2003-2004: T.A. in Artificial Intelligence, Univ. of Chile
  • 2003: T.A in Theory of Neural Networks, Univ. of Chile
  • 2004. T.A. in Evolutionary Computation, Univ. of Chile

 

Honors & Scholarships

  • 2006- : Graduate Studies Scholarship, Beca Presidente de la República, Government of Chile
  • 1998-2002: Honor roll student (top 5%), School of Engineering, University of Chile
  • 1996: Scholarship, Liceo Manuel de Salas, Santiago, Chile
  • 1996: Winner of the National Physics Olympics, Chile
  • 1996: Winner of the Metropolitan Physics Olympics, Santiago, Chile

 

Professional Experience

  • 2006: Yahoo! Search Engine Marketing, DMX Group, USA
  • 2006: Embedded System Design, Olimex, Chile
  • 2003-2005: Datamining for customer segmentation, fraud detection and forecasting, Chile
  • -2005: Website development

Präferenzen: 
Referenzen pro Seite: Jahr: Medium:

  
Zeige Zusammenfassung

Artikel (8):

Braun DA Person und Ortega PA Person (August-2014) Information-Theoretic Bounded Rationality and Optimality Entropy 16(8) 4662-4676.
Ortega PA Person und Braun DA Person (März-2014) Generalized Thompson sampling for sequential decision-making and causal inference Complex Adaptive Systems Modeling 2(2) 1-23.
Balduzzi D Person, Ortega PA Person und Besserve M Person (Mai-2013) Metabolic cost as an organizing principle for cooperative learning Advances in Complex Systems 16(02n03) 1-18.
Ortega PA Person und Braun DA Person (Mai-2013) Thermodynamics as a theory of decision-making with information-processing costs Proceedings of the Royal Society of London A 469(2153) 1-18.
Grau-Moya J Person, Ortega PA Person und Braun DA Person (September-2012) Risk-Sensitivity in Bayesian Sensorimotor Integration PLoS Computational Biology 8(9) 1-7.
Braun DA Person, Ortega PA Person und Wolpert DM (Juni-2011) Motor coordination: when two have to act as one Experimental Brain Research 211(3-4) 631-641.
Ortega PA Person und Braun DA Person (Mai-2010) A Minimum Relative Entropy Principle for Learning and Acting Journal of Artificial Intelligence Research 38(1) 475-511.
Braun DA Person, Ortega PA Person und Wolpert DM (August-2009) Nash Equilibria in Multi-Agent Motor Interactions PLoS Computational Biology 5(8) 1-8.

Beiträge zu Tagungsbänden (11):

Ortega PA Person, Braun DA Person und Tishby N (Juni-2014) Monte Carlo Methods for Exact & Efficient Solution of the Generalized Optimality Equations IEEE International Conference on Robotics and Automation (ICRA 2014), IEEE, Piscataway, NJ, USA, 4322-4327.
pdf
Ortega PA Person, Grau-Moya J Person, Genewein T Person, Balduzzi D Person und Braun DA Person (April-2013) A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function In: Advances in Neural Information Processing Systems 25, Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012), Curran, Red Hook, NY, USA, 3014-3022.
pdf
Ortega PA Person und Braun DA Person (Dezember-2012) Adaptive Coding of Actions and Observations NIPS Workshop on Information in Perception and Action 2012, 1-4.
pdf
Ortega PA Person und Braun DA Person (Juli-2012) Free Energy and the Generalized Optimality Equations for Sequential Decision Making 10th European Workshop on Reinforcement Learning (EWRL 2012), 1-10.
pdf
Ortega PA Person (Dezember-2011) Bayesian Causal Induction NIPS 2011 Workshop on Philosophy and Machine Learning, 1-4.
pdf
Ortega PA Person und Braun DA Person (August-2011) Information, utility and bounded rationality In: Artificial General Intelligence, Fourth International Conference on Artificial General Intelligence (AGI 2011), Springer, Berlin, Germany, 269-274.
Ortega PA Person, Braun DA Person und Godsill S (August-2011) Reinforcement Learning and the Bayesian Control Rule In: Artificial General Intelligence, Fourth International Conference on Artificial General Intelligence (AGI 2011), Springer, Berlin, Germany, 281-285.
Braun DA Person, Ortega PA Person, Theodorou E und Schaal S Person (April-2011) Path integral control and bounded rationality IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning (ADPRL 2011), IEEE, Piscataway, NJ, USA, 202-209.
Braun DA Person und Ortega PA Person (Juni-2010) A minimum relative entropy principle for adaptive control in linear quadratic regulators 7th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2010), SciTePress, 103-108.
Ortega PA Person und Braun DA Person (März-2010) A Bayesian rule for adaptive control based on causal interventions Third Conference on Artificial General Intelligence (AGI 2010), Atlantis Press, Amsterdam, Netherlands, 121-126.
Ortega PA Person und Braun DA Person (März-2010) A conversion between utility and information Third Conference on Artificial General Intelligence (AGI 2010), Atlantis Press, Amsterdam, Netherlands, 115-120.

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Last updated: Freitag, 17.01.2014