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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
7532015
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
6182016
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
5272017
SummaC: Re-visiting NLI-based models for inconsistency detection in summarization
P Laban, T Schnabel, PN Bennett, MA Hearst
Transactions of the Association for Computational Linguistics 10, 163-177, 2022
1752022
Deep generalized method of moments for instrumental variable analysis
A Bennett, N Kallus, T Schnabel
Advances in neural information processing systems 32, 2019
1182019
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
732014
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
652017
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
462018
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
462016
Keep it simple: Unsupervised simplification of multi-paragraph text
P Laban, T Schnabel, P Bennett, MA Hearst
arXiv preprint arXiv:2107.03444, 2021
362021
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
272016
Stable coactive learning via perturbation
K Raman, T Joachims, P Shivaswamy, T Schnabel
International conference on machine learning, 837-845, 2013
262013
Online updating of word representations for part-of-speech tagging
W Yin, T Schnabel, H Schütze
arXiv preprint arXiv:1604.00502, 2016
182016
Debiasing item-to-item recommendations with small annotated datasets
T Schnabel, PN Bennett
Proceedings of the 14th ACM Conference on Recommender Systems, 73-81, 2020
172020
Improving recommender systems beyond the algorithm
T Schnabel, PN Bennett, T Joachims
arXiv preprint arXiv:1802.07578, 2018
172018
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
162019
HINT: Integration Testing for AI-based features with Humans in the Loop
QZ Chen, T Schnabel, B Nushi, S Amershi
27th International Conference on Intelligent User Interfaces, 549-565, 2022
152022
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
152020
Towards robust cross-domain domain adaptation for part-of-speech tagging
T Schnabel
152013
Local factor models for large-scale inductive recommendation
L Yang, T Schnabel, PN Bennett, S Dumais
Proceedings of the 15th ACM Conference on Recommender Systems, 252-262, 2021
92021
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Articles 1–20