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05/18/2023
Balancing Test Accuracy and Security in Computerized Adaptive Testing
Computerized adaptive testing (CAT) is a form of personalized testing th...
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05/11/2023
A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing
In this paper, we take a preliminary step towards solving the problem of...
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12/20/2022
Using Machine Learning to Determine Morphologies of z<1 AGN Host Galaxies in the Hyper Suprime-Cam Wide Survey
We present a machine-learning framework to accurately characterize morph...
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05/19/2022
Automated Scoring for Reading Comprehension via In-context BERT Tuning
Automated scoring of open-ended student responses has the potential to s...
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12/08/2021
DiPS: Differentiable Policy for Sketching in Recommender Systems
In sequential recommender system applications, it is important to develo...
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08/17/2021
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
Computerized adaptive testing (CAT) refers to a form of tests that are p...
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04/19/2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise?
Learning with labels noise has gained significant traction recently due ...
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04/19/2021
Option Tracing: Beyond Correctness Analysis in Knowledge Tracing
Knowledge tracing refers to a family of methods that estimate each stude...
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04/19/2021
Contrastive Learning Improves Model Robustness Under Label Noise
Deep neural network-based classifiers trained with the categorical cross...
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07/24/2020
Context-Aware Attentive Knowledge Tracing
Knowledge tracing (KT) refers to the problem of predicting future learne...
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03/31/2020
Optimal Bidding Strategy without Exploration in Real-time Bidding
Maximizing utility with a budget constraint is the primary goal for adve...
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01/18/2020
Scalable Bid Landscape Forecasting in Real-time Bidding
In programmatic advertising, ad slots are usually sold using second-pric...
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12/27/2017