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Farnam Mansouri
Farnam Mansouri
PhD of Computer Science, University of Waterloo
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Title
Cited by
Cited by
Year
Preference-based batch and sequential teaching: Towards a unified view of models
F Mansouri, Y Chen, A Vartanian, J Zhu, A Singla
Advances in neural information processing systems 32, 2019
392019
Understanding the power and limitations of teaching with imperfect knowledge
R Devidze, F Mansouri, L Haug, Y Chen, A Singla
arXiv preprint arXiv:2003.09712, 2020
152020
ChOracle: A unified statistical framework for churn prediction
A Khodadadi, SA Hosseini, E Pajouheshgar, F Mansouri, HR Rabiee
IEEE Transactions on Knowledge and Data Engineering 34 (4), 1656-1666, 2020
142020
On batch teaching with sample complexity bounded by vcd
F Mansouri, H Simon, A Singla, S Zilles
Advances in Neural Information Processing Systems 35, 15732-15742, 2022
32022
Deep reinforcement learning for online control of stochastic partial differential equations
E Pirmorad, F Khoshbakhtian, F Mansouri, A Farahmand
arXiv preprint arXiv:2110.11265, 2021
22021
A Labelled Sample Compression Scheme of Size at Most Quadratic in the VC Dimension
F Mansouri, S Zilles
arXiv preprint arXiv:2212.12631, 2022
2022
Preference-Based Batch and Sequential Teaching
F Mansouri, Y Chen, A Vartanian, X Zhu, A Singla
arXiv preprint arXiv:2010.10012, 2020
2020
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