3 citations · 7 across the 10 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.LG2024
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
Changlong Wu, Ananth Grama, Wojciech Szpankowski
Generative models have shown impressive capabilities in synthesizing high-quality outputs across various domains. However, a persistent challenge is the occurrence of "hallucinatio…
cs.LG2024
Online Distribution Learning with Local Private Constraints
Jin Sima, Changlong Wu, Olgica Milenkovic +1
We study the problem of online conditional distribution estimation with \emph{unbounded} label sets under local differential privacy. Let be a distribution-valued fun…
cs.LG2024
Oracle-Efficient Hybrid Online Learning with Unknown Distribution
Changlong Wu, Jin Sima, Wojciech Szpankowski
We study the problem of oracle-efficient hybrid online learning when the features are generated by an unknown i.i.d. process and the labels are generated adversarially. Assuming ac…