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Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates


Nov 11, 2022
Tobias Schnabel, Mengting Wan, Longqi Yang

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Where Do We Go From Here? Guidelines For Offline Recommender Evaluation


Nov 02, 2022
Tobias Schnabel

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* 8 pages 

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EvalRS: a Rounded Evaluation of Recommender Systems


Jul 12, 2022
Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia

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* CIKM 2022 Data Challenge Paper 

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Lightweight Compositional Embeddings for Incremental Streaming Recommendation


Feb 04, 2022
Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville

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SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization


Nov 18, 2021
Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst

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* TACL pre-MIT Press publication version; 11 pages, 2 figures, 5 tables 

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Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text


Jul 07, 2021
Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst

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* Association for Computational Linguistics (2021) 
* Accepted at ACL-IJCNLP 2021, 14 pages, 7 figures 

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Deep Generalized Method of Moments for Instrumental Variable Analysis


May 29, 2019
Andrew Bennett, Nathan Kallus, Tobias Schnabel

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Effective Evaluation using Logged Bandit Feedback from Multiple Loggers


Jun 26, 2017
Aman Agarwal, Soumya Basu, Tobias Schnabel, Thorsten Joachims

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* KDD 2018 

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Unbiased Learning-to-Rank with Biased Feedback


Aug 16, 2016
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel

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Recommendations as Treatments: Debiasing Learning and Evaluation


May 27, 2016
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims

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* 10 pages in ICML 2016 

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