30 citations · 53 across the 12 of their papers we have counts for
3 papers · 1 filter
Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency
Yunsung Kim, Sreechan Sankaranarayanan, Chris Piech +1
Dynamic Item Response Models extend the standard Item Response Theory (IRT) to capture temporal dynamics in learner ability. While these models have the potential to allow instruct…
BanditPAM++: Faster -medoids Clustering
Mo Tiwari, Ryan Kang, Donghyun Lee +4
Clustering is a fundamental task in data science with wide-ranging applications. In -medoids clustering, cluster centers must be actual datapoints and arbitrary distance metrics…
Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars
Colin Sullivan, Mo Tiwari, Sebastian Thrun +1
Decision Trees are some of the most popular machine learning models today due to their out-of-the-box performance and interpretability. Often, Decision Trees models are constructed…