| Link prediction in heterogeneous data via generalized coupled tensor factorization B Ermiş, E Acar, AT Cemgil Data Mining and Knowledge Discovery 29, 203-236, 2015 | 150 | 2015 |
| Linear Bandits with Stochastic Delayed Feedback C Vernade, A Carpentier, T Lattimore, G Zappella, B Ermis, M Brueckner ICML, 2020 | 57 | 2020 |
| Link prediction via generalized coupled tensor factorisation B Ermiş, E Acar, AT Cemgil arXiv preprint arXiv:1208.6231, 2012 | 39 | 2012 |
| Optimal weight learning for coupled tensor factorization with mixed divergences U Şimşekli, B Ermiş, AT Cemgil, E Acar 21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013 | 25 | 2013 |
| A Bayesian tensor factorization model via variational inference for link prediction B Ermis, AT Cemgil arXiv preprint arXiv:1409.8276, 2014 | 22 | 2014 |
| Exact MCMC with Differentially Private Moves Y Sinan, B Ermis Statistics and Computing 28 (123), 1-17, 2019 | 17* | 2019 |
| Learning mixed divergences in coupled matrix and tensor factorization models U Şimşekli, AT Cemgil, B Ermiş 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 17 | 2015 |
| Learning to Rank in the Position Based Model with Bandit Feedback B Ermis, P Ernst, Y Stein, G Zappella CIKM, 2405-2412, 2020 | 16 | 2020 |
| Memory efficient continual learning with transformers B Ermis, G Zappella, M Wistuba, A Rawal, C Archambeau Advances in Neural Information Processing Systems 35, 10629-10642, 2022 | 11 | 2022 |
| Contextual bandits under delayed feedback C Vernade, A Carpentier, G Zappella, B Ermis, M Brueckner arXiv preprint arXiv:1807.02089 360, 2018 | 11 | 2018 |
| Liver CT Annotation via Generalized Coupled Tensor Factorization. B Ermis, AT Cemgil, NB Marvasti, B Acar CLEF (Working Notes), 421-427, 2014 | 10 | 2014 |
| Iterative Splits of Quadratic Bounds for Scalable Binary Tensor Factorization. B Ermis, G Bouchard UAI, 192-199, 2014 | 9 | 2014 |
| Data Sharing via Differentially Private Coupled Matrix Factorization B Ermiş, AT Cemgil ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (3), 1-27, 2020 | 8 | 2020 |
| Incremental variational inference for latent dirichlet allocation C Archambeau, B Ermis arXiv preprint arXiv:1507.05016, 2015 | 8 | 2015 |
| On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research L Pozzobon, B Ermis, P Lewis, S Hooker arXiv preprint arXiv:2304.12397, 2023 | 7 | 2023 |
| PASHA: Efficient HPO with Progressive Resource Allocation O Bohdal, L Balles, B Ermis, C Archambeau, G Zappella arXiv preprint arXiv:2207.06940, 2022 | 7 | 2022 |
| Continual learning with transformers for image classification B Ermis, G Zappella, M Wistuba, A Rawal, C Archambeau Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 7 | 2022 |
| Exact MCMC with differentially private moves Revisiting the penalty algorithm in a data privacy framework S Yildirim, B Ermis Statistics and Computing 29 (5), 947-963, 2019 | 6 | 2019 |
| Generalized coupled symmetric tensor factorization for link prediction B Ermiş, AT Cemgil, E Acar 2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013 | 6 | 2013 |
| Differentially Private Dropout B Ermis, AT Cemgil https://arxiv.org/pdf/1712.01665.pdf, 2017 | 5 | 2017 |
Ali Taylan CemgilResearch Scientist, DeepMind UKZweryfikowany adres z google.com
