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Found 4 papers, 1 papers with code
Mode Estimation with Partial Feedback
The combination of lightly supervised pre-training and online fine-tuning has played a key role in recent AI developments.
Touring sampling with pushforward maps
The number of sampling methods could be daunting for a practitioner looking to cast powerful machine learning methods to their specific problem.
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks
Despite their successful application to a variety of tasks, neural networks remain limited, like other machine learning methods, by their sensitivity to shifts in the data: their performance can be severely impacted by differences in distribution between the data on which they were trained and that on which they are deployed.
Convolution of a symmetric log-concave distribution and a symmetric bimodal distribution can have any number of modes
In this note, we show that the convolution of a discrete symmetric log-concave distribution and a discrete symmetric bimodal distribution can have any strictly positive number of modes.
Statistics Theory Probability Statistics Theory 62E10 (Primary) 60E05 (Secondary)
