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stat.ML2025
Asymptotic convexity of wide and shallow neural networks
Vivek Borkar, Parthe Pandit
For a simple model of shallow and wide neural networks, we show that the epigraph of its input-output map as a function of the network parameters approximates epigraph of a. convex…
stat.ML2025
Feature maps for the Laplacian kernel and its generalizations
Sudhendu Ahir, Parthe Pandit
Recent applications of kernel methods in machine learning have seen a renewed interest in the Laplacian kernel, due to its stability to the bandwidth hyperparameter in comparison t…