7 citations · 7 across the 15 of their papers we have counts for
3 papers · 1 filter
Efficient Optimization on the Euclidean Sphere: Riemannian Gradient Alignment as a Unifying Principle
Puqian Wang, Nikos Zarifis, Jelena Diakonikolas
Euclidean sphere-constrained optimization problems represent perhaps the most basic class of nonconvex-constrained problems for which there exist efficient optimization algorithms…
Efficiently Learning Drifting Halfspaces with Massart Noise
Mingchen Ma, Guyang Cao, Jelena Diakonikolas +1
We study the problem of learning a drifting concept in the presence of Massart noise. In this framework, an online learner has access to a history of independent samples whose labe…
Robust Learning of a Group DRO Neuron
Guyang Cao, Shuyao Li, Sushrut Karmalkar +1
We study the problem of learning a single neuron under standard squared loss in the presence of arbitrary label noise and group-level distributional shifts, for a broad family of c…