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Learning Optimal Conformal Classifiers


Oct 18, 2021
David Stutz, Krishnamurthy, Dvijotham, Ali Taylan Cemgil, Arnaud Doucet


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Towards Fair Personalization by Avoiding Feedback Loops


Dec 20, 2020
Gökhan Çapan, Özge Bozal, İlker Gündoğdu, Ali Taylan Cemgil

* NeurIPS 2019 Workshop on Human-Centric Machine Learning 

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Intermittent Demand Forecasting with Renewal Processes


Oct 04, 2020
Ali Caner Turkmen, Tim Januschowski, Yuyang Wang, Ali Taylan Cemgil


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A Bayesian Choice Model for Eliminating Feedback Loops


Aug 21, 2019
Gökhan Çapan, Ilker Gündoğdu, Ali Caner Türkmen, Çağrı Sofuoğlu, Ali Taylan Cemgil


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


Mar 11, 2019
Ali Taylan Cemgil, Mehmet Burak Kurutmaz, Sinan Yildirim, Melih Barsbey, Umut Simsekli

* 70 pages, 16 figures 

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Weak Label Supervision for Monaural Source Separation Using Non-negative Denoising Variational Autoencoders


Nov 05, 2018
Ertuğ Karamatlı, Ali Taylan Cemgil, Serap Kırbız


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Differentially Private Variational Dropout


Dec 16, 2017
Beyza Ermis, Ali Taylan Cemgil

* arXiv admin note: substantial text overlap with arXiv:1712.01665 

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Differentially Private Dropout


Nov 30, 2017
Beyza Ermis, Ali Taylan Cemgil

* arXiv admin note: text overlap with arXiv:1611.00340 by other authors 

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Clustering Words by Projection Entropy


Oct 24, 2014
Işık Barış Fidaner, Ali Taylan Cemgil

* Accepted to NIPS 2014 Modern ML+NLP Workshop: http://www.cs.cmu.edu/~apparikh/nips2014ml-nlp/ 

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Summary Statistics for Partitionings and Feature Allocations


Nov 25, 2013
Işık Barış Fidaner, Ali Taylan Cemgil

* Accepted to NIPS 2013: https://nips.cc/Conferences/2013/Program/event.php?ID=3763 

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