Tobias Schnabel
Tobias Schnabel
Researcher, Microsoft
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Evaluation methods for unsupervised word embeddings
T Schnabel, I Labutov, D Mimno, T Joachims
Proceedings of the 2015 conference on empirical methods in natural language …, 2015
4512015
Unbiased learning-to-rank with biased feedback
T Joachims, A Swaminathan, T Schnabel
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
1772017
Recommendations as treatments: Debiasing learning and evaluation
T Schnabel, A Swaminathan, A Singh, N Chandak, T Joachims
In Proceedings of The International Conference on Machine Learning (ICML), 2016
1542016
Flors: Fast and simple domain adaptation for part-of-speech tagging
T Schnabel, H Schütze
Transactions of the Association for Computational Linguistics 2, 15-26, 2014
582014
Using shortlists to support decision making and improve recommender system performance
T Schnabel, PN Bennett, ST Dumais, T Joachims
Proceedings of the 25th International Conference on World Wide Web, 987-997, 2016
332016
Effective evaluation using logged bandit feedback from multiple loggers
A Agarwal, S Basu, T Schnabel, T Joachims
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
262017
Short-term satisfaction and long-term coverage: Understanding how users tolerate algorithmic exploration
T Schnabel, PN Bennett, ST Dumais, T Joachims
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
202018
Stable coactive learning via perturbation
K Raman, T Joachims, P Shivaswamy, T Schnabel
International Conference on Machine Learning, 837-845, 2013
192013
Online updating of word representations for part-of-speech tagging
W Yin, T Schnabel, H Schütze
arXiv preprint arXiv:1604.00502, 2016
172016
Deep generalized method of moments for instrumental variable analysis
A Bennett, N Kallus, T Schnabel
Advances in Neural Information Processing Systems, 3564-3574, 2019
162019
Unbiased comparative evaluation of ranking functions
T Schnabel, A Swaminathan, PI Frazier, T Joachims
Proceedings of the 2016 ACM International Conference on the Theory of …, 2016
142016
Towards robust cross-domain domain adaptation for part-of-speech tagging
T Schnabel
122013
Towards a better understanding of predict and count models
SS Keerthi, T Schnabel, R Khanna
arXiv preprint arXiv:1511.02024, 2015
82015
Improving recommender systems beyond the algorithm
T Schnabel, PN Bennett, T Joachims
arXiv preprint arXiv:1802.07578, 2018
42018
Unbiased ranking evaluation on a budget
T Schnabel, A Swaminathan, T Joachims
Proceedings of the 24th International Conference on World Wide Web, 935-937, 2015
42015
Shaping feedback data in recommender systems with interventions based on information foraging theory
T Schnabel, PN Bennett, T Joachims
Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
32019
A preference elicitation interface for collecting dense recommender datasets with rich user information
PP Analytis, T Schnabel, S Herzog, D Barkoczi, T Joachims
arXiv preprint arXiv:1706.08184, 2017
12017
Debiasing Item-to-Item Recommendations With Small Annotated Datasets
T Schnabel, PN Bennett
Fourteenth ACM Conference on Recommender Systems, 73-81, 2020
2020
“Who doesn’t like dinosaurs?” Finding and Eliciting Richer Preferences for Recommendation
T Schnabel, G Ramos, S Amershi
Fourteenth ACM Conference on Recommender Systems, 398-407, 2020
2020
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
T Schnabel, S Amershi, PN Bennett, P Bailey, T Joachims
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
2020
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Articles 1–20