Emilio Jorge

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 7

Top Topics

Bayesian Estimation

Bayes Classifier

Kernel Machines

Bayesian Reinforcement Learning

Top Venues

Neural Process. Lett.

Publications

Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
Minimax-Bayes Reinforcement Learning. CoRR (2023)
Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
Minimax-Bayes Reinforcement Learning. AISTATS (2023)
Arman Rahbar, Emilio Jorge, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
Do Kernel and Neural Embeddings Help in Training and Generalization? Neural Process. Lett. 55 (2) (2023)
Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu
Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. CoRR (2020)
Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning. ICBINB@NeurIPS (2020)
Emilio Jorge, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization. CoRR (2019)
Emilio Jorge, Mikael Kågebäck, Emil Gustavsson
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence. CoRR (2016)