1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2026
Optimal Gradient-Norm Minimization in Non-Euclidean Hölder-Smooth Convex Optimization
Nico Pelleriti, Maryam Shiran, David Martínez-Rubio +2
Minimizing gradients of a convex function is an important problem across optimization and learning tasks. The gradient provides a directly computable certificate of approximate sta…
cs.DC2024★ 1 cited
Hash & Adjust: Competitive Demand-Aware Consistent Hashing
Arash Pourdamghani, Chen Avin, Robert Sama +2
Distributed systems often serve dynamic workloads and resource demands evolve over time. Such a temporal behavior stands in contrast to the static and demand-oblivious nature of mo…