Machine Learning

• (Under review) M. Abroshan, S. Mishra, M.M. Khalili, “A Memetic algorithm for Interpreting Black- boxes Using Primitive Functions”

• (Under review) M.M. Khalili, X. Zhang, M. Abroshan, I. Vakilinia, “Non-convex Optimization for Learning a Fair Predictor under Equalized Loss Fairness Constraint”

• (Accepted) M. Abroshan*, G. Aminian*, M.M. Khalili, L. Toni, M. Rodrigues, “An Information Theory Approach to Semi-supervised Learning under Covariate-shift”, AISTAT 2022 (* equal contribution)

• M. Abroshan, K. Yip, C. Tekin, M. van der Schaar, “Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values” IEEE Transactions on Neural Networks and Learning Systems (2022)

• M.M. Khalili, X. Zhang, M. Abroshan, “Fair Sequential Selection Using Supervised Learning Models” Advances in Neural Information Processing Systems, Neurips 2021

• M.M. Khalili, X. Zhang, M. Abroshan, S. Sojoudi, “Improving Fairness and Privacy in Selection Problems” Association for the Advancement of Artificial Intelligence AAAI 2021

• M. Abroshan, A. M. Alaa, O. Rayner, M. van der Schaar, “Opportunities for machine learning to transform care for people with cystic fibrosis ” (editorial) Journal of Cystic Fibrosis (2020)

Information Theory

• M. Abroshan, R. Venkataramanan, A. Guillén i Fàbregas, “Multilayer Codes for Synchronization from Deletions and Insertions” IEEE Transactions on Information Theory (2020)

• M. Abroshan, R. Venkataramanan, A. Guillén i Fàbregas, “Coding for Segmented Edit Channels” IEEE Transactions on Information Theory (2018)

• M. Abroshan, R. Venkataramanan, L. Dolecek, A. Guillén i Fàbregas, “Coding for Deletion Channels with Multiple Traces” IEEE International Symposium on Information Theory 2019

• M. Abroshan, R. Venkataramanan, A. Guillén i Fàbregas, “Efficient Systematic Encoding of Non- Binary VT codes” IEEE International Symposium on Information Theory 2018

• M. Abroshan, R. Venkataramanan, A. Guillén i Fàbregas, “Codes for Channels with Segmented Edit” IEEE International Symposium on Information Theory 2017

• M. Abroshan, R. Venkataramanan, A. Guillén i Fàbregas, “Multilayer Codes for Synchronization from Deletions” IEEE Information Theory Workshop 2017, http://arxiv.org/abs/1705.06670

• M. Abroshan, A. A. Gohari, S. Jaggi, ‘‘Zero Error Coordination” IEEE Information Theory Workshop 2015, https://arxiv.org/pdf/1505.01110v1.pdf