Statistical Learning
Adversarial Regression with Doubly Non-negative Weighting Matrices Tam Le
Many machine learning tasks that involve predicting an output response can be solved by training a weighted regression model.
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification (Supplementary Materials)
The batch size is set to 1 bag.
Certified Monotonic Neural Networks
This provides a new general approach for learning monotonic neural networks with arbitrary model structures.
sufficiently accurate, the solution will eventually become monotonic. In practice, we found that we usually find
We thank all the reviewers. We hope the reviewers could increase the rating if the response addressed your concerns. Theoretically, in Eq. (11), if we take Accordingly, we have revised the relevant sections of the paper by adding pertinent technical details. General Comments: All the learned models that we report performance about are certified monotonic. We will make a note of this in the paper; see also G#1 and G#2.
Towards Robust and Reliable Algorithmic Recourse Sohini Upadhyay Harvard University
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques
