9 citations · 14 across the 2 of their papers we have counts for
3 papers
Personalized Federated Learning with Exact Stochastic Gradient Descent
Sotirios Nikoloutsopoulos, Iordanis Koutsopoulos, Michalis K. Titsias
We propose a Stochastic Gradient Descent (SGD)-type algorithm for Personalized Federated Learning which can be particularly attractive for mobile energy-limited regimes due to its…
Information Theoretic Meta Learning with Gaussian Processes
Michalis K. Titsias, Francisco J. R. Ruiz, Sotirios Nikoloutsopoulos +1
We formulate meta learning using information theoretic concepts; namely, mutual information and the information bottleneck. The idea is to learn a stochastic representation or enco…
Bayesian Transfer Reinforcement Learning with Prior Knowledge Rules
Michalis K. Titsias, Sotirios Nikoloutsopoulos
We propose a probabilistic framework to directly insert prior knowledge in reinforcement learning (RL) algorithms by defining the behaviour policy as a Bayesian posterior distribut…