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ORCIDGhazal Fazelnia
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2020 – today
- 2024
[i4]Ghazal Fazelnia, Sanket Gupta, Claire Keum, Mark Koh, Ian Anderson, Mounia Lalmas:
Generalized User Representations for Transfer Learning. CoRR abs/2403.00584 (2024)- 2023
- [c14]Enrico Palumbo
, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan:
Graph Learning for Exploratory Query Suggestions in an Instant Search System. CIKM 2023: 4780-4786 - 2022
- [c13]Ghazal Fazelnia, John W. Paisley:
Probabilistic Orthogonal Matching Pursuit. IEEE Big Data 2022: 26-35 - [c12]Ghazal Fazelnia, Eric Simon, Ian Anderson, Benjamin A. Carterette, Mounia Lalmas:
Variational User Modeling with Slow and Fast Features. WSDM 2022: 271-279 - [c11]Zahra Nazari, Praveen Chandar, Ghazal Fazelnia, Catherine M. Edwards, Benjamin A. Carterette, Mounia Lalmas:
Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations. WWW 2022: 2433-2441 - 2021
- [i3]Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Ben Carterette, Mounia Lalmas-Roelleke:
Model Selection for Production System via Automated Online Experiments. CoRR abs/2105.13420 (2021) - 2020
- [c10]Ghazal Fazelnia, Mark Ibrahim, Ceena Modarres, Kevin Wu, John W. Paisley:
Mixed membership recurrent neural networks for modeling customer purchases. ICAIF 2020: 36:1-36:8 - [c9]Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Benjamin A. Carterette, Mounia Lalmas:
Model Selection for Production System via Automated Online Experiments. NeurIPS 2020 - [i2]Greg Benton, Ghazal Fazelnia, Alice Wang, Ben Carterette:
Trajectory Based Podcast Recommendation. CoRR abs/2009.03859 (2020)
2010 – 2019
- 2019
- [j3]Salar Fattahi, Ghazal Fazelnia, Javad Lavaei, Murat Arcak:
Transformation of Optimal Centralized Controllers Into Near-Globally Optimal Static Distributed Controllers. IEEE Trans. Autom. Control. 64(1): 66-80 (2019) - 2018
- [c8]Ghazal Fazelnia, John W. Paisley:
CRVI: Convex Relaxation for Variational Inference. ICML 2018: 1476-1484 - [i1]Ghazal Fazelnia, Mark Ibrahim, Ceena Modarres, Kevin Wu, John W. Paisley:
Mixed Membership Recurrent Neural Networks. CoRR abs/1812.09645 (2018) - 2017
- [j2]Ramtin Madani, Somayeh Sojoudi, Ghazal Fazelnia, Javad Lavaei:
Finding Low-rank Solutions of Sparse Linear Matrix Inequalities using Convex Optimization. SIAM J. Optim. 27(2): 725-758 (2017) - [j1]Ghazal Fazelnia, Ramtin Madani, Abdulrahman Kalbat, Javad Lavaei:
Convex Relaxation for Optimal Distributed Control Problems. IEEE Trans. Autom. Control. 62(1): 206-221 (2017) - 2015
- [c7]Salar Fattahi, Ghazal Fazelnia, Javad Lavaei:
Transformation of optimal centralized controllers into near-global static distributed controllers. CDC 2015: 4915-4922 - 2014
- [c6]Abdulrahman Kalbat, Ramtin Madani, Ghazal Fazelnia, Javad Lavaei:
Efficient convex relaxation for stochastic optimal distributed control problem. Allerton 2014: 589-596 - [c5]Ghazal Fazelnia, Ramtin Madani, Javad Lavaei:
Convex relaxation for optimal distributed control problem. CDC 2014: 896-903 - [c4]Somayeh Sojoudi, Ramtin Madani, Ghazal Fazelnia, Javad Lavaei:
Graph-theoretic algorithms for polynomial optimization problems. CDC 2014: 2257-2271 - [c3]Ramtin Madani, Ghazal Fazelnia, Somayeh Sojoudi, Javad Lavaei:
Low-rank solutions of matrix inequalities with applications to polynomial optimization and matrix completion problems. CDC 2014: 4328-4335 - 2012
- [c2]Mohammad Javad Salehi, Babak Hossein Khalaj, Marcos D. Katz, Ghazal Fazelnia, Parishad Karimi, Javier Del Ser:
Mobile clouds: How to find opportunities. CAMAD 2012: 170-172 - [c1]Mohammad Javad Salehi, Babak Hossein Khalaj, Marcos D. Katz, Ghazal Fazelnia, Parishad Karimi:
Mobile cloud management: A new framework. PIMRC 2012: 48-53
Coauthor Index
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