LiD-GLM: Lipschitz-constrained Deep Generalized Linear Models
stat.ML, cs.LG
Submitted: 2026-08-17
Updated: 2026-09-25
Project page: https://christophm.github.io/interpretable-ml-book
Terminology
Sources
- Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting
- Wide & Deep Learning for Recommender Systems
- A Comprehensive Survey on Self-Interpretable Neural Networks
- Deeply-Learned Generalized Linear Models with Missing Data
- A New PHO-rmula for Improved Performance of Semi-Structured Networks
- ExLipBaB: Exact Lipschitz Constant Computation for Piecewise Linear Neural Networks
- Learning Likelihoods with Conditional Normalizing Flows
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