Yaniv Fogel

14 papers B 7Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Leave-One-Out Learning with Log-Loss. CoRR Yaniv Fogel, Meir Feder
2025	J	`jnl`	The Universality Lens: Why Even Highly Over-Parametrized Models Learn Well. CoRR Meir Feder, Rüdiger L. Urbanke, Yaniv Fogel
2024	—	`conf`	Combining Batch and Online Prediction. ISIT (Workshops) Yaniv Fogel, Meir Feder
2023	B	`conf`	Permutation Invariant Individual Batch Learning. ITW Yaniv Fogel, Meir Feder
2022	B	`conf`	Another Look at Universal Individual Learning. ISIT Yaniv Fogel, Meir Feder
2022	B	`conf`	On Multiple and Hierarchical Universality. ISIT Yaniv Fogel, Meir Feder
2020	J	`jnl`	Efficient Data-Dependent Learnability. CoRR Yaniv Fogel, Tal Shapira, Meir Feder
2019	B	`conf`	A New Look at an Old Problem: A Universal Learning Approach to Linear Regression. ISIT Koby Bibas, Yaniv Fogel, Meir Feder
2019	J	`jnl`	A New Look at an Old Problem: A Universal Learning Approach to Linear Regression. CoRR Koby Bibas, Yaniv Fogel, Meir Feder
2019	J	`jnl`	Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks. CoRR Koby Bibas, Yaniv Fogel, Meir Feder
2019	B	`conf`	Universal Learning of Individual Data. ISIT Yaniv Fogel, Meir Feder
2018	B	`conf`	Universal Batch Learning with Log-Loss. ISIT Yaniv Fogel, Meir Feder
2018	J	`jnl`	Universal Supervised Learning for Individual Data. CoRR Yaniv Fogel, Meir Feder
2017	B	`conf`	On the problem of on-line learning with log-loss. ISIT Yaniv Fogel, Meir Feder

2025 Best paper conf

CheckMATE

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

2026 Best paper preprint

arXiv

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski