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Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.

L. Belli, S. Ktena, A. Tejani, A. Lung-Yut-Fong, F. Portman, X. Zhu, Y. Xie, A. Gupta, M. Bronstein, A. Delic, G. Sottocornola, V. Anelli, N. Andrade, J. Smith, and W. Shi. CoRR, (2020)

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Deep Bayesian Bandits: Exploring in Online Personalized Recommendations.D. Guo, S. Ktena, F. Huszar, P. Myana, W. Shi, and A. Tejani. CoRR, (2020)Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems.C. Zhang, Y. Liu, Y. Xie, S. Ktena, A. Tejani, A. Gupta, P. Myana, D. Dilipkumar, S. Paul, I. Ihara and 3 other author(s). RecSys, page 521-526. ACM, (2020)The 2021 RecSys Challenge Dataset: Fairness is not optional.L. Belli, A. Tejani, F. Portman, A. Lung-Yut-Fong, B. Chamberlain, Y. Xie, K. Lum, J. Hunt, M. Bronstein, V. Anelli and 3 other author(s). RecSys Challenge, page 1-6. ACM, (2021)PyTorch: An Imperative Style, High-Performance Deep Learning Library.A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga and 11 other author(s). NeurIPS, page 8024-8035. (2019)RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline.V. Anelli, A. Delic, G. Sottocornola, J. Smith, N. Andrade, L. Belli, M. Bronstein, A. Gupta, S. Ktena, A. Lung-Yut-Fong and 5 other author(s). RecSys, page 623-627. ACM, (2020)Deep Bayesian Bandits: Exploring in Online Personalized Recommendations.D. Guo, S. Ktena, P. Myana, F. Huszar, W. Shi, A. Tejani, M. Kneier, and S. Das. RecSys, page 456-461. ACM, (2020)Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.L. Belli, S. Ktena, A. Tejani, A. Lung-Yut-Fong, F. Portman, X. Zhu, Y. Xie, A. Gupta, M. Bronstein, A. Delic and 5 other author(s). CoRR, (2020)PyTorch: An Imperative Style, High-Performance Deep Learning LibraryA. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga and 11 other author(s). Advances in Neural Information Processing Systems 32, Curran Associates, Inc., (2019)Faster gaze prediction with dense networks and Fisher pruning.L. Theis, I. Korshunova, A. Tejani, and F. Huszár. CoRR, (2018)Addressing delayed feedback for continuous training with neural networks in CTR prediction.S. Ktena, A. Tejani, L. Theis, P. Myana, D. Dilipkumar, F. Huszár, S. Yoo, and W. Shi. RecSys, page 187-195. ACM, (2019)

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Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.

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Disambiguation of "Tejani, Alykhan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.

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Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.