12 citations · 26 across the 20 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
stat.ML2023
Generalization Bounds for Label Noise Stochastic Gradient Descent
Jung Eun Huh, Patrick Rebeschini
We develop generalization error bounds for stochastic gradient descent (SGD) with label noise in non-convex settings under uniform dissipativity and smoothness conditions. Under a…
cs.LG2023
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
We theoretically explore the relationship between sample-efficiency and adaptivity in reinforcement learning. An algorithm is sample-efficient if it uses a number of queries to…