72 citations · 151 across the 16 of their papers we have counts for
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cs.LG2021
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning
Kartik Ahuja, Jason Hartford, Yoshua Bengio
A key goal of unsupervised representation learning is "inverting" a data generating process to recover its latent properties. Existing work that provably achieves this goal relies…
cs.LG2021★ 1 cited
The Perils of Learning Before Optimizing
Chris Cameron, Jason Hartford, Taylor Lundy +1
Formulating real-world optimization problems often begins with making predictions from historical data (e.g., an optimizer that aims to recommend fast routes relies upon travel-tim…