Yaniv Fogel

According to our database1, Yaniv Fogel authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
0
1
2
3
4
1
1
1
1
1
2
2
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Combining Batch and Online Prediction.
Proceedings of the IEEE International Symposium on Information Theory, 2024

2023
Permutation Invariant Individual Batch Learning.
Proceedings of the IEEE Information Theory Workshop, 2023

2022
On Multiple and Hierarchical Universality.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Another Look at Universal Individual Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2020
Efficient Data-Dependent Learnability.
CoRR, 2020

2019
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks.
CoRR, 2019

Universal Learning of Individual Data.
Proceedings of the IEEE International Symposium on Information Theory, 2019

A New Look at an Old Problem: A Universal Learning Approach to Linear Regression.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Universal Supervised Learning for Individual Data.
CoRR, 2018

Universal Batch Learning with Log-Loss.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
On the problem of on-line learning with log-loss.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017


  Loading...