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Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making

Neural Information Processing Systems

We propose Confusions over Time (CoT), a novel generative framework which facilitates a multi-granular analysis of the decision making process. The CoT not only models the confusions or error properties of individual decision makers and their evolution over time, but also allows us to obtain diagnostic insights into the collective decision making process in an interpretable manner.





Towards

Neural Information Processing Systems

The Goldilocks phase is reminiscent of "intelligence from starvation" in Darwinian evolution, where resource limitations drivediscoveryofmore efficient solutions.





Cambridge University wins rowing trademark case

BBC News

The University of Cambridge has won its fight to stop a rowing company based in the city trademarking its name. It argued Cambridge Rowing Limited would be able to take unfair advantage of and cause detriment to the university's reputation if its logo was registered. The university owns trademarks for the word Cambridge, meaning it has the right to stop others from using it in certain circumstances. Omar Terywall, the company's founder, said he was gutted at the outcome and the case had been a terrifying ordeal. He said he hoped to appeal the decision by the Intellectual Property Office (IPO).


We sincerely appreciate insightful comments and positive feedback from the reviewers: important problem (R1

Neural Information Processing Systems

We respond to each comment one by one. We mention this in Line 148; however, we will make it clear in the final draft. Conversely, SSL algorithms use the unlabeled data but they do not consider the class imbalance. We will make this point clear in the final draft. However, to avoid the confusion, we will substitute X,Y to α,β in the final draft.