1 citations · 1 across the 4 of their papers we have counts for
4 papers
A General framework for PAC-Bayes Bounds for Meta-Learning
Arezou Rezazadeh
Meta learning automatically infers an inductive bias, that includes the hyperparameter of the base-learning algorithm, by observing data from a finite number of related tasks. This…
Conditional Mutual Information-Based Generalization Bound for Meta Learning
Arezou Rezazadeh, Sharu Theresa Jose, Giuseppe Durisi +1
Meta-learning optimizes an inductive bias---typically in the form of the hyperparameters of a base-learning algorithm---by observing data from a finite number of related tasks. Thi…
Joint Source-Channel Coding for the Multiple-Access Channel with Correlated Sources
Arezou Rezazadeh, Josep Font-Segura, Alfonso Martinez +1
This paper studies the random-coding exponent of joint source-channel coding for the multiple-access channel with correlated sources. For each user, by defining a threshold, the me…
Multiple-Access Channel with Independent Sources: Error Exponent Analysis
Arezou Rezazadeh, Josep Font-Segura, Alfonso Martinez +1
In this paper, an achievable error exponent for the multiple-access channel with two independent sources is derived. For each user, the source messages are partitioned into two cla…