ICML-Provably Strict Generalisation Benefit for Equivariant Models

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Provably Strict Generalisation Benefit for Equivariant Models

                       Bryn Elesedy 1 Sheheryar Zaidi 2

             Abstract               as Sokolic et al. (2017); Sannai & Imaizumi (2019), cover
    It is widely believed that engineering a model to    only the worst case performance of algorithms. These works
    be invariant/equivariant improves generalisation.    use complexity measures to find tighter upper bounds on
    Despite the growing popularity of this approach,      ...

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关键词：General benefit varian models Satio