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20182022
most citedNeural Spectrahedra and Semidefinite Lifts: Global Convex Optimization of Polynomial Activation Neural Networks in Fully Polynomial-Time

5 citations · 11 across the 4 of their papers we have counts for

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math.OC2022

Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower Bounds

Burak Bartan, Mert Pilanci

We consider distributed optimization methods for problems where forming the Hessian is computationally challenging and communication is a significant bottleneck. We leverage random…