Nikos Vlassis

Principal Research Scientist

San Jose

Nikos is a Principal Research Scientist at Adobe Research in San Jose, CA. His research interests include Machine Learning and applications.

In the past he has held positions as Senior Data Scientist at Netflix, Los Gatos, CA (2017-2022), Senior Research Scientist at Adobe Research in San Jose, CA (2014-2017), Principal Investigator at the Luxembourg Centre for Systems Biomedicine, Luxembourg (2010-2014), Principal Scientist in OneTree Solutions, Luxembourg (2010-2012), Assistant Professor at the Technical University of Crete, Greece (2007-2010), and Assistant Professor at the University of Amsterdam, The Netherlands (2001-2007). He received his diploma (1993) and PhD (1998) in Electrical and Computer Engineering from the National Technical University of Athens, Greece.

He has served as an Action Editor of the Journal of Machine Learning Research (JMLR) during 2016-2020.

Fun facts: His Erdős number is 3, his Bacon number is 4, and his Kasparov number is 3.

A complete list of his publications can be found here.

Publications

Scalar Posterior Sampling with Applications

Theocharous, G., Wen, Z., Abbasi-Yadkori, Y., Vlassis, N. (Dec. 3, 2018)

Neural Information Processing Systems (NeurIPS 2018)

Capacity-aware Sequential Recommendations

de Nijs, F., Theocharous, G., Vlassis, N., Weerdt, M., Spaan, M. (Jul. 10, 2018)

Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018),

Does Weather Matter? Causal Analysis of TV Logs

Zong, S., Kveton, B., Berkovsky, S., Ashkan, A., Vlassis, N., Wen, Z. (Apr. 3, 2017)

26th International World Wide Web Conference

An Interactive Points of Interest Guidance System

Theocharous, G., Vlassis, N., Wen, Z. (Mar. 13, 2017)

Proceedings of the 22nd International Conference on Intelligent User Interfaces

A posteriori error bounds for joint matrix decomposition problems

Colombo, N., Vlassis, N. (Dec. 5, 2016)

30th Annual Conference on Neural Information Processing Systems (NIPS)

Stochastic control via entropy compression

Achlioptas, D., Iliopoulos, F., Vlassis, N. (Jul. 21, 2016)

arXiv

Practical Linear Models for Large-Scale One-Class Collaborative Filtering

Sedhain, S., Bui, H., Kawale, J., Vlassis, N., Kveton, B., Menon, A., Bui, T., Sanner, S. (Jul. 9, 2016)

25th International Joint Conference on Artificial Intelligence

Matching via dimensionality reduction for estimation of treatment effects in digital marketing campaigns

Li, S., Vlassis, N., Kawale, J., Fu, R. (Jul. 9, 2016)

25th International Joint Conference on Artificial Intelligence (IJCAI)

Tensor decomposition via joint matrix Schur decomposition

Colombo, N., Vlassis, N. (Jun. 19, 2016)

33rd International Conference on Machine Learning (ICML)

Stable Spectral Learning Based on Schur Decomposition

Colombo, N., Vlassis, N. (Jul. 12, 2015)

International Conference on Uncertainty in AI (UAI)

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