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Ali Taylan Cemgil

Conformal prediction under ambiguous ground truth

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Jul 18, 2023
David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet

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Evaluating AI systems under uncertain ground truth: a case study in dermatology

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Jul 05, 2023
David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Greg S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam

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Transformers Meet Directed Graphs

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Jan 31, 2023
Simon Geisler, Yujia Li, Daniel Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru

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Learning Optimal Conformal Classifiers

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

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Towards Fair Personalization by Avoiding Feedback Loops

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

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Intermittent Demand Forecasting with Renewal Processes

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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

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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

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

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

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

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Differentially Private Variational Dropout

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Dec 16, 2017
Beyza Ermis, Ali Taylan Cemgil

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