Search Results for author:
Found 6 papers, 1 papers with code
PATCH -- Psychometrics-AssisTed benCHmarking of Large Language Models: A Case Study of Mathematics Proficiency
Third, we release 4 datasets to support measuring and comparing LLM proficiency in grade school mathematics and science against human populations.
Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat
Using this new framework, we design a Transformer-based user model that can produce high-quality general-purpose user representations for instant messaging platforms like Snapchat.
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
To exploit the potential information captured in EHRs, in this study we propose a multimodal recurrent neural network model for cardiovascular risk prediction that integrates both medical texts and structured clinical information.
The effect of measurement error on clustering algorithms
Many data sources on which clustering is performed are well-known to contain random and systematic measurement errors.
Fair inference on error-prone outcomes
Fair inference in supervised learning is an important and active area of research, yielding a range of useful methods to assess and account for fairness criteria when predicting ground truth targets.
Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent
We conclude that our method is a viable approach for vertically partitioned data analysis with a wide range of real-world applications.
