8 citations · 59 across the 53 of their papers we have counts for
4 papers · 1 filter
Online learning of smooth functions on
Jesse Geneson, Kuldeep Singh, Alexander Wang
We study adversarial online learning of real-valued functions on . In each round the learner is queried at , predicts , and then observes th…
Online Learning of Smooth Functions
Jesse Geneson, Ethan Zhou
In this paper, we study the online learning of real-valued functions where the hidden function is known to have certain smoothness properties. Specifically, for , let $\ma…
Sharp bounds on the price of bandit feedback for several models of mistake-bounded online learning
Raymond Feng, Jesse Geneson, Andrew Lee +1
We determine sharp bounds on the price of bandit feedback for several variants of the mistake-bound model. The first part of the paper presents bounds on the -input weak reinfor…
Sharper bounds for online learning of smooth functions of a single variable
Jesse Geneson
We investigate the generalization of the mistake-bound model to continuous real-valued single variable functions. Let be the class of absolutely continuous function…