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ORCIDMohammad Ali Bashiri
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2020 – today
- 2021
[j2]Ahmad Khajenezhad, Mohammad Ali Bashiri, Hamid Beigy
:
A distributed density estimation algorithm and its application to naive Bayes classification. Appl. Soft Comput. 98: 106837 (2021)- [c4]Mohammad Ali Bashiri, Brian D. Ziebart, Xinhua Zhang:
Distributionally Robust Imitation Learning. NeurIPS 2021: 24404-24417 - 2020
- [j1]Ahmad Ali Abin, Mohammad Ali Bashiri, Hamid Beigy:
Learning a metric when clustering data points in the presence of constraints. Adv. Data Anal. Classif. 14(1): 29-56 (2020)
2010 – 2019
- 2018
- [c3]Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart:
Distributionally Robust Graphical Models. NeurIPS 2018: 8354-8365 - [i2]Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart:
Distributionally Robust Graphical Models. CoRR abs/1811.02728 (2018) - [i1]Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart:
Consistent Robust Adversarial Prediction for General Multiclass Classification. CoRR abs/1812.07526 (2018) - 2017
- [c2]Rizal Fathony, Mohammad Ali Bashiri, Brian D. Ziebart:
Adversarial Surrogate Losses for Ordinal Regression. NIPS 2017: 563-573 - [c1]Mohammad Ali Bashiri, Xinhua Zhang:
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search. NIPS 2017: 2690-2700
Coauthor Index
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