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Hiva Ghanbari

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2020 – today

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2024
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Yuntao Ma, Hiva Ghanbari, Tianyuan Huang, Jeremy Irvin, Oliver Brady, Sofian Zalouk, Hao Sheng, Andrew Y. Ng, Ram Rajagopal, Mayur Narsude:
A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning. IEEE Trans. Intell. Transp. Syst. 25(6): 5627-5639 (2024)

2010 – 2019

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2019
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Hiva Ghanbari, Minhan Li, Katya Scheinberg:
Novel and Efficient Approximations for Zero-One Loss of Linear Classifiers. CoRR abs/1903.00359 (2019)
2018
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Hiva Ghanbari, Katya Scheinberg:
Proximal quasi-Newton methods for regularized convex optimization with linear and accelerated sublinear convergence rates. Comput. Optim. Appl. 69(3): 597-627 (2018)
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Hiva Ghanbari, Katya Scheinberg:
Directly and Efficiently Optimizing Prediction Error and AUC of Linear Classifiers. CoRR abs/1802.02535 (2018)
2017
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Hiva Ghanbari, Katya Scheinberg:
Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm. CoRR abs/1703.06925 (2017)
2016
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Hiva Ghanbari, Katya Scheinberg:
Proximal Quasi-Newton Methods for Convex Optimization. CoRR abs/1607.03081 (2016)

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