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2020 – today
- 2023
[i3]Belhassen Bayar, Phanideep Gampa, Ainur Yessenalina, Zhen Wen:
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations. CoRR abs/2310.01419 (2023)- [i2]Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar, Ainur Yessenalina:
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations. CoRR abs/2310.03148 (2023) - 2021
- [i1]Jianling Wang, Ainur Yessenalina, Alireza Roshan Ghias:
Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model. CoRR abs/2109.11059 (2021)
2010 – 2019
- 2012
- [b1]Ainur Yessenalina:
Exploiting Structure for Sentiment Classification. Cornell University, USA, 2012 - [c5]Geoffrey Zweig, John C. Platt, Christopher Meek, Christopher J. C. Burges, Ainur Yessenalina, Qiang Liu:
Computational Approaches to Sentence Completion. ACL (1) 2012: 601-610 - 2011
- [c4]Ainur Yessenalina, Claire Cardie:
Compositional Matrix-Space Models for Sentiment Analysis. EMNLP 2011: 172-182 - 2010
- [c3]Ainur Yessenalina, Yejin Choi, Claire Cardie:
Automatically Generating Annotator Rationales to Improve Sentiment Classification. ACL (2) 2010: 336-341 - [c2]Ainur Yessenalina, Yisong Yue, Claire Cardie:
Multi-Level Structured Models for Document-Level Sentiment Classification. EMNLP 2010: 1046-1056
2000 – 2009
- 2008
- [c1]Rich Caruana, Nikolaos Karampatziakis, Ainur Yessenalina:
An empirical evaluation of supervised learning in high dimensions. ICML 2008: 96-103
Coauthor Index
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