Maksims Volkovs
Maksims Volkovs
Layer6 AI
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Continuous data cleaning
M Volkovs, F Chiang, J Szlichta, RJ Miller
2014 IEEE 30th international conference on data engineering, 244-255, 2014
1242014
Boltzrank: learning to maximize expected ranking gain
MN Volkovs, RS Zemel
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1212009
DropoutNet: Addressing Cold Start in Recommender Systems.
M Volkovs, GW Yu, T Poutanen
NIPS, 4957-4966, 2017
842017
A flexible generative model for preference aggregation
MN Volkovs, RS Zemel
Proceedings of the 21st international conference on World Wide Web, 479-488, 2012
702012
Collaborative ranking with 17 parameters
M Volkovs, R Zemel
Advances in neural information processing systems 25, 2294-2302, 2012
632012
Learning to rank with multiple objective functions
KM Svore, MN Volkovs, CJC Burges
Proceedings of the 20th international conference on World wide web, 367-376, 2011
632011
Effective latent models for binary feedback in recommender systems
M Volkovs, GW Yu
Proceedings of the 38th international ACM SIGIR conference on research and …, 2015
592015
Content-based neighbor models for cold start in recommender systems
M Volkovs, GW Yu, T Poutanen
Proceedings of the Recommender Systems Challenge 2017, 1-6, 2017
582017
New learning methods for supervised and unsupervised preference aggregation
MN Volkovs, RS Zemel
The Journal of Machine Learning Research 15 (1), 1135-1176, 2014
442014
Learning to rank by aggregating expert preferences
MN Volkovs, H Larochelle, RS Zemel
Proceedings of the 21st ACM international conference on Information and …, 2012
302012
Two-stage model for automatic playlist continuation at scale
M Volkovs, H Rai, Z Cheng, G Wu, Y Lu, S Sanner
Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018
242018
Context models for web search personalization
M Volkovs
arXiv preprint arXiv:1502.00527, 2015
202015
Efficient sampling for bipartite matching problems
M Volkovs, R Zemel
Advances in Neural Information Processing Systems 25, 1313-1321, 2012
202012
Explore-exploit graph traversal for image retrieval
C Chang, G Yu, C Liu, M Volkovs
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
142019
Two-stage approach to item recommendation from user sessions
M Volkovs
Proceedings of the 2015 International ACM Recommender Systems Challenge, 1-4, 2015
142015
Improving transformer optimization through better initialization
XS Huang, F Perez, J Ba, M Volkovs
International Conference on Machine Learning, 4475-4483, 2020
132020
CRF framework for supervised preference aggregation
MN Volkovs, RS Zemel
Proceedings of the 22nd ACM international conference on Information …, 2013
132013
Probabilistic simulation of quantum circuits with the transformer
J Carrasquilla, D Luo, F Pérez, A Milsted, BK Clark, M Volkovs, L Aolita
arXiv preprint arXiv:1912.11052, 2019
122019
Noise Contrastive Estimation for One-Class Collaborative Filtering
G Wu, M Volkovs, CL Soon, S Sanner, H Rai
Proceedings of the 41st International ACM SIGIR Conference on Research and …, 2019
122019
Guided similarity separation for image retrieval
C Liu, G Yu, M Volkovs, C Chang, H Rai, J Ma, SK Gorti
Advances in Neural Information Processing Systems 32, 1556-1566, 2019
112019
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