556 citations · 4.9k across the 45 of their papers we have counts for
45 papers
Peptide-Spectra Matching from Weak Supervision
Samuel S. Schoenholz, Sean Hackett, Laura Deming +8
As in many other scientific domains, we face a fundamental problem when using machine learning to identify proteins from mass spectrometry data: large ground truth datasets mapping…
Inferring Multidimensional Rates of Aging from Cross-Sectional Data
Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto +4
Modeling how individuals evolve over time is a fundamental problem in the natural and social sciences. However, existing datasets are often cross-sectional with each individual obs…
Tuned Models of Peer Assessment in MOOCs
Chris Piech, Jonathan Huang, Zhenghao Chen +3
In massive open online courses (MOOCs), peer grading serves as a critical tool for scaling the grading of complex, open-ended assignments to courses with tens or hundreds of thousa…
Probability Estimation in Face of Irrelevant Information
Adam J. Grove, Daphne Koller
In this paper, we consider one aspect of the problem of applying decision theory to the design of agents that learn how to make decisions under uncertainty. This aspect concerns ho…
Generating New Beliefs From Old
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern +1
In previous work [BGHK92, BGHK93], we have studied the random-worlds approach -- a particular (and quite powerful) method for generating degrees of belief (i.e., subjective probabi…
Stochastic Simulation Algorithms for Dynamic Probabilistic Networks
Keiji Kanazawa, Daphne Koller, Stuart Russell
Stochastic simulation algorithms such as likelihood weighting often give fast, accurate approximations to posterior probabilities in probabilistic networks, and are the methods of…