Mahed Abroshan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Error Correcting

Learning Machines

Data Generation

Binary Representation

Top Venues

IEEE Trans. Inf. Theory

Publications

Mahed Abroshan, Andrew Elliott, Mohammad Mahdi Khalili
Imposing Fairness Constraints in Synthetic Data Generation. AISTATS (2024)
Alireza Abdollahpourrostam, Mahed Abroshan, Seyed-Mohsen Moosavi-Dezfooli
Revisiting DeepFool: generalization and improvement. CoRR (2023)
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 (2023)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
Loss Balancing for Fair Supervised Learning. ICML (2023)
Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili
Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions. AAAI (2023)
Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions. CoRR (2023)
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) (2023)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
Loss Balancing for Fair Supervised Learning. CoRR (2023)
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)
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 (2022)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi
Improving Fairness and Privacy in Selection Problems. AAAI (2021)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
Fair Sequential Selection Using Supervised Learning Models. CoRR (2021)
Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar
Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values. CoRR (2021)
Mahed Abroshan, Ramji Venkataramanan, Albert Guillén i Fàbregas
Multilayer Codes for Synchronization From Deletions and Insertions. IEEE Trans. Inf. Theory 67 (6) (2021)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
Fair Sequential Selection Using Supervised Learning Models. NeurIPS (2021)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi
Improving Fairness and Privacy in Selection Problems. CoRR (2020)
Mahed Abroshan, Ramji Venkataramanan, Lara Dolecek, Albert Guillén i Fàbregas
Coding for Deletion Channels with Multiple Traces. CoRR (2019)
Mahed Abroshan, Ramji Venkataramanan, Lara Dolecek, Albert Guillén i Fàbregas
Coding for Deletion Channels with Multiple Traces. ISIT (2019)
Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas
Coding for Segmented Edit Channels. IEEE Trans. Inf. Theory 64 (4) (2018)
Mahed Abroshan, Ramji Venkataramanan, Albert Guillén i Fàbregas
Efficient Systematic Encoding of Non-binary VT Codes. ISIT (2018)
Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas
Codes for Channels With Segmented Edits. CoRR (2017)
Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas
Codes for channels with segmented edits. ISIT (2017)
Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas
Efficient Systematic Encoding of Non-binary VT Codes. CoRR (2017)
Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas
Multilayer codes for synchronization from deletions. ITW (2017)
Mahed Abroshan, Ramji Venkataramanan, Albert Guillen i Fabregas
Multilayer Codes for Synchronization from Deletions. CoRR (2017)
Mahed Abroshan, Amin Aminzadeh Gohari, Sidharth Jaggi
Zero Error Coordination. CoRR (2015)
Mahed Abroshan, Amin Aminzadeh Gohari, Sidharth Jaggi
Zero error coordination. ITW Fall (2015)