Emilio Jorge

According to our database, Emilio Jorge authored at least 7 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret.

Emilio Jorge, Christos Dimitrakakis, Debabrota Basu

CoRR, 2024

2023

Do Kernel and Neural Embeddings Help in Training and Generalization?

Arman Rahbar, Emilio Jorge, Devdatt P. Dubhashi, Morteza Haghir Chehreghani

Neural Process. Lett., April, 2023

Minimax-Bayes Reinforcement Learning.

Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2020

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

Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu

CoRR, 2020

Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning.

Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

2019

Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization.

Emilio Jorge, Morteza Haghir Chehreghani, Devdatt P. Dubhashi

CoRR, 2019

2016

Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence.

Emilio Jorge, Mikael Kågebäck, Emil Gustavsson

CoRR, 2016