
Learning Optimal Conformal Classifiers
Modern deep learning based classifiers show very high accuracy on test d...
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Towards Fair Personalization by Avoiding Feedback Loops
Selfreinforcing feedback loops are both cause and effect of over and/or...
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Intermittent Demand Forecasting with Renewal Processes
Intermittency is a common and challenging problem in demand forecasting....
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A Bayesian Choice Model for Eliminating Feedback Loops
Selfreinforcing feedback loops in personalization systems are typically...
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Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns
We introduce a dynamic generative model, Bayesian allocation model (BAM)...
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Weak Label Supervision For Monaural Source Separation Using Nonnegative Denoising Variational Autoencoders
Deep learning models are very effective in source separation when there ...
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Differentially Private Variational Dropout
Deep neural networks with their large number of parameters are highly fl...
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Differentially Private Dropout
Large data collections required for the training of neural networks ofte...
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Summary Statistics for Partitionings and Feature Allocations
Infinite mixture models are commonly used for clustering. One can sample...
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Ali Taylan Cemgil
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