24 citations · 55 across the 9 of their papers we have counts for
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math.OC2023
Analyzing and Improving Greedy 2-Coordinate Updates for Equality-Constrained Optimization via Steepest Descent in the 1-Norm
Amrutha Varshini Ramesh, Aaron Mishkin, Mark Schmidt +3
We consider minimizing a smooth function subject to a summation constraint over its variables. By exploiting a connection between the greedy 2-coordinate update for this problem an…
cs.LG2023
Optimal Sets and Solution Paths of ReLU Networks
Aaron Mishkin, Mert Pilanci
We develop an analytical framework to characterize the set of optimal ReLU neural networks by reformulating the non-convex training problem as a convex program. We show that the gl…