2.3k citations · 2.3k across the 9 of their papers we have counts for
4 papers · 1 filter
Calibrated Model-Based Deep Reinforcement Learning
Ali Malik, Volodymyr Kuleshov, Jiaming Song +3
Estimates of predictive uncertainty are important for accurate model-based planning and reinforcement learning. However, predictive uncertainties---especially ones derived from mod…
The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response
Chris Piech, Ali Malik, Laura M Scott +2
Chart-based visual acuity measurements are used by billions of people to diagnose and guide treatment of vision impairment. However, the ubiquitous eye exam has no mechanism for re…
Using Latent Variable Models to Observe Academic Pathways
Nate Gruver, Ali Malik, Brahm Capoor +3
Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are…
Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems
Ali Malik, Mike Wu, Vrinda Vasavada +5
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like computer programming, grap…