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stat.ML2021
Provably Strict Generalisation Benefit for Invariance in Kernel Methods
Bryn Elesedy
It is a commonly held belief that enforcing invariance improves generalisation. Although this approach enjoys widespread popularity, it is only very recently that a rigorous theore…
stat.ML2021★ 10 cited
Provably Strict Generalisation Benefit for Equivariant Models
Bryn Elesedy, Sheheryar Zaidi
It is widely believed that engineering a model to be invariant/equivariant improves generalisation. Despite the growing popularity of this approach, a precise characterisation of t…