Search Results for author: Ali Taylan Cemgil

Found 9 papers, 2 papers with code

Towards Fair Personalization by Avoiding Feedback Loops

no code implementations20 Dec 2020 Gökhan Çapan, Özge Bozal, İlker Gündoğdu, Ali Taylan Cemgil

Self-reinforcing feedback loops are both cause and effect of over and/or under-presentation of some content in interactive recommender systems.

Recommendation Systems

A Bayesian Choice Model for Eliminating Feedback Loops

no code implementations15 Aug 2019 Gökhan Çapan, Ilker Gündoğdu, Ali Caner Türkmen, Çağrı Sofuoğlu, Ali Taylan Cemgil

Self-reinforcing feedback loops in personalization systems are typically caused by users choosing from a limited set of alternatives presented systematically based on previous choices.

Recommendation Systems

Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns

1 code implementation11 Mar 2019 Ali Taylan Cemgil, Mehmet Burak Kurutmaz, Sinan Yildirim, Melih Barsbey, Umut Simsekli

We introduce a dynamic generative model, Bayesian allocation model (BAM), which establishes explicit connections between nonnegative tensor factorization (NTF), graphical models of discrete probability distributions and their Bayesian extensions, and the topic models such as the latent Dirichlet allocation.

Model Selection Topic Models

Audio Source Separation Using Variational Autoencoders and Weak Class Supervision

1 code implementation31 Oct 2018 Ertuğ Karamatlı, Ali Taylan Cemgil, Serap Kırbız

In this paper, we propose a source separation method that is trained by observing the mixtures and the class labels of the sources present in the mixture without any access to isolated sources.

Audio Source Separation Denoising

Differentially Private Dropout

no code implementations30 Nov 2017 Beyza Ermis, Ali Taylan Cemgil

Large data collections required for the training of neural networks often contain sensitive information such as the medical histories of patients, and the privacy of the training data must be preserved.

Differentially Private Variational Dropout

no code implementations30 Nov 2017 Beyza Ermis, Ali Taylan Cemgil

In this paper, we modify the recently proposed variational dropout technique which provided an elegant Bayesian interpretation to dropout, and show that the intrinsic noise in the variational dropout can be exploited to obtain a degree of differential privacy.

Clustering Words by Projection Entropy

no code implementations24 Oct 2014 Işık Barış Fidaner, Ali Taylan Cemgil

We apply entropy agglomeration (EA), a recently introduced algorithm, to cluster the words of a literary text.

Summary Statistics for Partitionings and Feature Allocations

no code implementations NeurIPS 2013 Işık Barış Fidaner, Ali Taylan Cemgil

Experiments on various infinite mixture posteriors as well as a feature allocation dataset demonstrate that the proposed statistics are useful in practice.

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