28 citations · 46 across the 7 of their papers we have counts for
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cs.IT2026
A Layered Simplex Architecture for Large Alphabets
Meir Feder, Yaniv Fogel, Ruediger Urbanke
A learning architecture induces a prior over its expressible models. Recent work links architectural success to a broad complexity spectrum: model probabilities spanning many order…
cs.IT2025
Leave-One-Out Learning with Log-Loss
Yaniv Fogel, Meir Feder
We study batch learning with log-loss in the individual setting, where the outcome sequence is deterministic. Because empirical statistics are not directly applicable in this regim…
cs.IT2018★ 7 cited
Universal Supervised Learning for Individual Data
Yaniv Fogel, Meir Feder
Universal supervised learning is considered from an information theoretic point of view following the universal prediction approach, see Merhav and Feder (1998). We consider the st…