Search Results for author: Tomaso A. Poggio

Found 2 papers, 0 papers with code

How to guess a gradient

no code implementations7 Dec 2023 Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A. Poggio, Stella X. Yu

We study how to narrow the gap in optimization performance between methods that calculate exact gradients and those that use directional derivatives.

Learning with Group Invariant Features: A Kernel Perspective.

no code implementations NeurIPS 2015 Youssef Mroueh, Stephen Voinea, Tomaso A. Poggio

Our analysis bridges invariant feature learning with kernel methods, as we show that this feature map defines an expected Haar-integration kernel that is invariant to the specified group action.

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