Maleki, Arian

11 publications

AISTATS 2025 Theoretical Analysis of Leave-One-Out Cross Validation for Non-Differentiable Penalties Under High-Dimensional Settings Haolin Zou, Arnab Auddy, Kamiar Rahnama Rad, Arian Maleki

AISTATS 2024 Approximate Leave-One-Out Cross Validation for Regression with $\ell_1$ Regularizers Arnab Auddy, Haolin Zou, Kamiar Rahnamarad, Arian Maleki

ICML 2024 Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise Xi Chen, Zhewen Hou, Christopher Metzler, Arian Maleki, Shirin Jalali

NeurIPSW 2023 Multilook Compressive Sensing in the Presence of Speckle Noise Xi Chen, Zhewen Hou, Christopher Metzler, Arian Maleki, Shirin Jalali

NeurIPS 2021 Analysis of Sensing Spectral for Signal Recovery Under a Generalized Linear Model Junjie Ma, Ji Xu, Arian Maleki

AISTATS 2020 Error Bounds in Estimating the Out-of-Sample Prediction Error Using Leave-One-Out Cross Validation in High-Dimensions Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki

ICML 2018 Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions Shuaiwen Wang, Wenda Zhou, Haihao Lu, Arian Maleki, Vahab Mirrokni

ICML 2018 Approximate Message Passing for Amplitude Based Optimization Junjie Ma, Ji Xu, Arian Maleki

NeurIPS 2018 Benefits of Over-Parameterization with EM Ji Xu, Daniel J. Hsu, Arian Maleki

NeurIPS 2016 Global Analysis of Expectation Maximization for Mixtures of Two Gaussians Ji Xu, Daniel J. Hsu, Arian Maleki

NeurIPS 2012 Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation Benjamin Rolfs, Bala Rajaratnam, Dominique Guillot, Ian Wong, Arian Maleki