57 citations · 112 across the 3 of their papers we have counts for
3 papers
stat.ML2021★ 1 cited
Regularization Strategies for Quantile Regression
Taman Narayan, Serena Wang, Kevin Canini +1
We investigate different methods for regularizing quantile regression when predicting either a subset of quantiles or the full inverse CDF. We show that minimizing an expected pinb…
stat.ML2017★ 57 cited
Deep Lattice Networks and Partial Monotonic Functions
Seungil You, David Ding, Kevin Canini +2
We propose learning deep models that are monotonic with respect to a user-specified set of inputs by alternating layers of linear embeddings, ensembles of lattices, and calibrators…
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…