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Khalili, Mohammad Mahdi
16 publications
TMLR
2025
An Efficient Training Algorithm for Models with Block-Wise Sparsity
Ding Zhu
,
Zhiqun Zuo
,
Mohammad Mahdi Khalili
NeurIPS
2025
Individual Fairness in Strategic Classification
Zhiqun Zuo
,
Mohammad Mahdi Khalili
AISTATS
2025
Post-Processing for Fair Regression via Explainable SVD
Zhiqun Zuo
,
Ding Zhu
,
Mohammad Mahdi Khalili
TMLR
2024
Federated Learning with Reduced Information Leakage and Computation
Tongxin Yin
,
Xuwei Tan
,
Xueru Zhang
,
Mohammad Mahdi Khalili
,
Mingyan Liu
TMLR
2024
Learning Under Imitative Strategic Behavior with Unforeseeable Outcomes
Tian Xie
,
Zhiqun Zuo
,
Mohammad Mahdi Khalili
,
Xueru Zhang
TMLR
2024
Lookahead Counterfactual Fairness
Zhiqun Zuo
,
Tian Xie
,
Xuwei Tan
,
Xueru Zhang
,
Mohammad Mahdi Khalili
ICMLW
2024
Neuroplasticity and Corruption in Model Mechanisms: A Case Study of Indirect Object Identification
Vishnu Kabir Chhabra
,
Ding Zhu
,
Mohammad Mahdi Khalili
UAI
2024
Privacy-Aware Randomized Quantization via Linear Programming
Zhongteng Cai
,
Xueru Zhang
,
Mohammad Mahdi Khalili
NeurIPSW
2024
Training Block-Wise Sparse Models Using Kronecker Product Decomposition
Ding Zhu
,
Zhiqun Zuo
,
Mohammad Mahdi Khalili
ICML
2023
Loss Balancing for Fair Supervised Learning
Mohammad Mahdi Khalili
,
Xueru Zhang
,
Mahed Abroshan
AAAI
2023
Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions
Mahed Abroshan
,
Saumitra Mishra
,
Mohammad Mahdi Khalili
NeurIPSW
2022
Counterfactual Fairness in Synthetic Data Generation
Mahed Abroshan
,
Mohammad Mahdi Khalili
,
Andrew Elliott
ICML
2022
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
Xueru Zhang
,
Mohammad Mahdi Khalili
,
Kun Jin
,
Parinaz Naghizadeh
,
Mingyan Liu
NeurIPS
2021
Fair Sequential Selection Using Supervised Learning Models
Mohammad Mahdi Khalili
,
Xueru Zhang
,
Mahed Abroshan
AAAI
2021
Improving Fairness and Privacy in Selection Problems
Mohammad Mahdi Khalili
,
Xueru Zhang
,
Mahed Abroshan
,
Somayeh Sojoudi
ICML
2018
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
Xueru Zhang
,
Mohammad Mahdi Khalili
,
Mingyan Liu