Yaniv Fogel

According to our database, Yaniv Fogel authored at least 10 papers between 2017 and 2023.

Collaborative distances:

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

2023

Permutation Invariant Individual Batch Learning.

Yaniv Fogel, Meir Feder

Proceedings of the IEEE Information Theory Workshop, 2023

2022

On Multiple and Hierarchical Universality.

Yaniv Fogel, Meir Feder

Proceedings of the IEEE International Symposium on Information Theory, 2022

Another Look at Universal Individual Learning.

Yaniv Fogel, Meir Feder

Proceedings of the IEEE International Symposium on Information Theory, 2022

2020

Efficient Data-Dependent Learnability.

Yaniv Fogel, Tal Shapira, Meir Feder

CoRR, 2020

2019

Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks.

Koby Bibas, Yaniv Fogel, Meir Feder

CoRR, 2019

Universal Learning of Individual Data.

Yaniv Fogel, Meir Feder

Proceedings of the IEEE International Symposium on Information Theory, 2019

A New Look at an Old Problem: A Universal Learning Approach to Linear Regression.

Koby Bibas, Yaniv Fogel, Meir Feder

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Universal Supervised Learning for Individual Data.

Yaniv Fogel, Meir Feder

CoRR, 2018

Universal Batch Learning with Log-Loss.

Yaniv Fogel, Meir Feder

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

On the problem of on-line learning with log-loss.

Yaniv Fogel, Meir Feder

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017