Aminian, Gholamali

11 publications

ICLRW 2025 $f$-SCRUB: Unbounded Machine Unlearning via $f$-Divergences Amirhossein Bagheri, Radmehr Karimian, Gholamali Aminian

ICML 2025 Generalization and Robustness of the Tilted Empirical Risk Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen

NeurIPS 2025 KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity Gholamali Aminian, Amir R. Asadi, Idan Shenfeld, Youssef Mroueh

ICML 2025 Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Tan, Hamid R. Rabiee

NeurIPS 2025 Pessimistic Data Integration for Policy Evaluation Xiangkun Wu, Ting Li, Gholamali Aminian, Armin Behnamnia, Hamid R. Rabiee, Chengchun Shi

ICMLW 2024 Batch Learning via Log-Sum-Exponential Estimator from Logged Bandit Feedback Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Y. F. Tan, Hamid R. Rabiee

ICML 2024 Generalization Error of Graph Neural Networks in the Mean-Field Regime Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen

AISTATS 2023 How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel Rodrigues, Vincent Y. F. Tan

AISTATS 2022 An Information-Theoretical Approach to Semi-Supervised Learning Under Covariate-Shift Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel Rodrigues

AISTATS 2022 Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel Rodrigues

NeurIPS 2021 An Exact Characterization of the Generalization Error for the Gibbs Algorithm Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel Rodrigues, Gregory Wornell