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ORCIDMahed Abroshan
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2020 – today
- 2024
[c11]Mahed Abroshan, Andrew Elliott, Mohammad Mahdi Khalili:
Imposing Fairness Constraints in Synthetic Data Generation. AISTATS 2024: 2269-2277- 2023
- [j3]Mahed Abroshan
, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar:
Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6368-6378 (2023) - [c10]Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili:
Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions. AAAI 2023: 6649-6657 - [c9]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan:
Loss Balancing for Fair Supervised Learning. ICML 2023: 16271-16290 - [i13]Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili:
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions. CoRR abs/2302.04791 (2023) - [i12]Mahed Abroshan, Oscar Giles, Sam F. Greenbury, Jack Roberts, Mihaela van der Schaar, Jannetta S. Steyn, Alan Wilson, May Yong:
Learning machines for health and beyond. CoRR abs/2303.01513 (2023) - [i11]Alireza Abdollahpourrostam, Mahed Abroshan, Seyed-Mohsen Moosavi-Dezfooli:
Revisiting DeepFool: generalization and improvement. CoRR abs/2303.12481 (2023) - [i10]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan:
Loss Balancing for Fair Supervised Learning. CoRR abs/2311.03714 (2023) - 2022
- [c8]Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues:
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. AISTATS 2022: 7433-7449 - [i9]Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues:
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. CoRR abs/2202.12123 (2022) - 2021
- [j2]Mahed Abroshan, Ramji Venkataramanan, Albert Guillén i Fàbregas:
Multilayer Codes for Synchronization From Deletions and Insertions. IEEE Trans. Inf. Theory 67(6): 3342-3359 (2021) - [c7]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi:
Improving Fairness and Privacy in Selection Problems. AAAI 2021: 8092-8100 - [c6]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan:
Fair Sequential Selection Using Supervised Learning Models. NeurIPS 2021: 28144-28155 - [i8]Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar:
Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values. CoRR abs/2109.03747 (2021) - [i7]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan:
Fair Sequential Selection Using Supervised Learning Models. CoRR abs/2110.13986 (2021) - 2020
- [i6]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi:
Improving Fairness and Privacy in Selection Problems. CoRR abs/2012.03812 (2020)
2010 – 2019
- 2019
- [c5]Mahed Abroshan, Ramji Venkataramanan, Lara Dolecek, Albert Guillén i Fàbregas:
Coding for Deletion Channels with Multiple Traces. ISIT 2019: 1372-1376 - [i5]Mahed Abroshan, Ramji Venkataramanan, Lara Dolecek, Albert Guillén i Fàbregas:
Coding for Deletion Channels with Multiple Traces. CoRR abs/1905.08197 (2019) - 2018
- [j1]Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas:
Coding for Segmented Edit Channels. IEEE Trans. Inf. Theory 64(4): 3086-3098 (2018) - [c4]Mahed Abroshan, Ramji Venkataramanan, Albert Guillén i Fàbregas:
Efficient Systematic Encoding of Non-binary VT Codes. ISIT 2018: 91-95 - 2017
- [c3]Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas:
Codes for channels with segmented edits. ISIT 2017: 1768-1772 - [c2]Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas:
Multilayer codes for synchronization from deletions. ITW 2017: 449-453 - [i4]Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas:
Codes for Channels With Segmented Edits. CoRR abs/1701.06341 (2017) - [i3]Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas:
Multilayer Codes for Synchronization from Deletions. CoRR abs/1705.06670 (2017) - [i2]Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas:
Efficient Systematic Encoding of Non-binary VT Codes. CoRR abs/1708.04071 (2017) - 2015
- [c1]Mahed Abroshan, Amin Aminzadeh Gohari, Sidharth Jaggi:
Zero error coordination. ITW Fall 2015: 202-206 - [i1]Mahed Abroshan, Amin Aminzadeh Gohari, Sidharth Jaggi:
Zero Error Coordination. CoRR abs/1505.01110 (2015)
Coauthor Index
aka: Albert Guillen i Fabregas
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