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37 papers · 2 filters
Understanding Decoupled and Early Weight Decay
Johan Bjorck, Kilian Weinberger, Carla Gomes
Weight decay (WD) is a traditional regularization technique in deep learning, but despite its ubiquity, its behavior is still an area of active research. Golatkar et al. have recen…
Fairness, Welfare, and Equity in Personalized Pricing
Nathan Kallus, Angela Zhou
We study the interplay of fairness, welfare, and equity considerations in personalized pricing based on customer features. Sellers are increasingly able to conduct price personaliz…
Autonomous sPOMDP Environment Modeling With Partial Model Exploitation
Andrew Wilhelm, Aaron Wilhelm, Garrett Fosdick
A state space representation of an environment is a classic and yet powerful tool used by many autonomous robotic systems for efficient and often optimal solution planning. However…
Online learning with dynamics: A minimax perspective
Kush Bhatia, Karthik Sridharan
We study the problem of online learning with dynamics, where a learner interacts with a stateful environment over multiple rounds. In each round of the interaction, the learner sel…
Impact of Accuracy on Model Interpretations
Brian Liu, Madeleine Udell
Model interpretations are often used in practice to extract real world insights from machine learning models. These interpretations have a wide range of applications; they can be p…
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si, Jingcheng Du, Zhao Li +5
Patient representation learning refers to learning a dense mathematical representation of a patient that encodes meaningful information from Electronic Health Records (EHRs). This…