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AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes · Xavi Gonzalvo · Vitaly Kuznetsov · Mehryar Mohri · Scott Yang

Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #121

We present a new framework for analyzing and learning artificial neural networks. Our approach simultaneously and adaptively learns both the structure of the network as well as its weights. The methodology is based upon and accompanied by strong data-dependent theoretical learning guarantees, so that the final network architecture provably adapts to the complexity of any given problem.

Author Information

Corinna Cortes (Google Research)
Xavi Gonzalvo (Google Inc.)
Vitaly Kuznetsov (Google)
Mehryar Mohri (Courant Institute and Google Research)
Scott Yang (Courant Institute)

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