3 papers
cs.LG2024
Label Noise: Ignorance Is Bliss
Yilun Zhu, Jianxin Zhang, Aditya Gangrade +1
We establish a new theoretical framework for learning under multi-class, instance-dependent label noise. This framework casts learning with label noise as a form of domain adaptati…
cs.LG2024
Testing the Feasibility of Linear Programs with Bandit Feedback
Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama +1
While the recent literature has seen a surge in the study of constrained bandit problems, all existing methods for these begin by assuming the feasibility of the underlying problem…
math.ST2023
A Sequential Test for Log-Concavity
Aditya Gangrade, Alessandro Rinaldo, Aaditya Ramdas
On observing a sequence of i.i.d.\ data with distribution on , we ask the question of how one can test the null hypothesis that has a log-concave density. Thi…