150 citations · 554 across the 18 of their papers we have counts for
Showing 2015 · cs.LGShow all
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cs.LG2015★ 15 cited
A Light Touch for Heavily Constrained SGD
Andrew Cotter, Maya Gupta, Jan Pfeifer
Minimizing empirical risk subject to a set of constraints can be a useful strategy for learning restricted classes of functions, such as monotonic functions, submodular functions,…
cs.LG2015★ 54 cited
Monotonic Calibrated Interpolated Look-Up Tables
Maya Gupta, Andrew Cotter, Jan Pfeifer +5
Real-world machine learning applications may require functions that are fast-to-evaluate and interpretable. In particular, guaranteed monotonicity of the learned function can be cr…