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Semantic ScholarFlavian Vasile
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2010 – today
- 2018
[c13]Louis Faury, Flavian Vasile:
Rover Descent: Learning to Optimize by Learning to Navigate on Prototypical Loss Surfaces. LION 2018: 271-287- [c12]
- [c11]Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman:
DLRS 2018: third workshop on deep learning for recommender systems. RecSys 2018: 512-513 - [c10]Thorsten Joachims, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile:
REVEAL 2018: offline evaluation for recommender systems. RecSys 2018: 514-515 - [c9]Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile:
Siamese Cookie Embedding Networks for Cross-Device User Matching. WWW (Companion Volume) 2018: 85-86 - [e1]Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman:
Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2018, Vancouver, BC, Canada, October 6, 2018. ACM 2018, ISBN 978-1-4503-6617-5 [contents] - [i10]Louis Faury, Flavian Vasile:
Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces. CoRR abs/1801.07222 (2018) - [i9]Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile:
Siamese Cookie Embedding Networks for Cross-Device User Matching. CoRR abs/1803.10450 (2018) - [i8]Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq:
Neural Generative Models for Global Optimization with Gradients. CoRR abs/1805.08594 (2018) - [i7]Ugo Tanielian, Mike Gartrell, Flavian Vasile:
Adversarial Training of Word2Vec for Basket Completion. CoRR abs/1805.08720 (2018) - [i6]David Rohde, Stephen Bonner, Travis Dunlop, Flavian Vasile, Alexandros Karatzoglou:
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising. CoRR abs/1808.00720 (2018) - 2017
- [c8]Flavian Vasile, Damien Lefortier, Olivier Chapelle:
Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions. ADKDD@KDD 2017: 8:1-8:6 - [c7]Elena Smirnova, Flavian Vasile:
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks. DLRS@RecSys 2017: 2-9 - [c6]Thomas Nedelec, Elena Smirnova, Flavian Vasile:
Specializing Joint Representations for the task of Product Recommendation. DLRS@RecSys 2017: 10-18 - [i5]Thomas Nedelec, Elena Smirnova, Flavian Vasile:
Specializing Joint Representations for the task of Product Recommendation. CoRR abs/1706.07625 (2017) - [i4]
- [i3]Elena Smirnova, Flavian Vasile:
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks. CoRR abs/1706.07684 (2017) - 2016
- [c5]Flavian Vasile, Elena Smirnova, Alexis Conneau:
Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation. RecSys 2016: 225-232 - [i2]Flavian Vasile, Damien Lefortier:
Cost-sensitive Learning for Bidding in Online Advertising Auctions. CoRR abs/1603.03713 (2016) - [i1]Flavian Vasile, Elena Smirnova, Alexis Conneau:
Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation. CoRR abs/1607.07326 (2016) - 2010
- [c4]Yiping Zhou, Lan Nie, Omid Rouhani-Kalleh, Flavian Vasile, Scott Gaffney:
Resolving Surface Forms to Wikipedia Topics. COLING 2010: 1335-1343
2000 – 2009
- 2009
- [c3]Andrew Carlson, Scott Gaffney, Flavian Vasile:
Learning a Named Entity Tagger from Gazetteers with the Partial Perceptron. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 7-13 - 2007
- [c2]
- 2006
- [c1]Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant G. Honavar:
TRIPPER: Rule Learning Using Taxonomies. PAKDD 2006: 55-59
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