Gholamali Aminian

61 papers A* 4A 3B 6Journal 40Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Generalization and Robustness in Conditional Value-at-Risk. CoRR Dinesh Karthik Mulumudi, Piyushi Manupriya, Gholamali Aminian, Anant Raj
2025	J	`jnl`	Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis. CoRR Gholamali Aminian, Idan Shenfeld, Amir R. Asadi, Ahmad Beirami, Youssef Mroueh
2025	J	`jnl`	FraudTransformer: Time-Aware GPT for Transaction Fraud Detection. CoRR Gholamali Aminian, Andrew Elliott, Tiger Li, Timothy Cheuk Hin Wong, Victor Claude Dehon, Lukasz Szpruch, Carsten Maple, Christopher Read, Martin Brown, Gesine Reinert, Mo Mamouei
2025	J	`jnl`	Generalization Error of CoRR Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza, Gholamali Aminian
2025	A*	`conf`	Generalization and Robustness of the Tilted Empirical Risk. ICML Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen
2025	A*	`conf`	Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning. ICML Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Y. F. Tan, Hamid R. Rabiee
2025	J	`jnl`	Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning. CoRR Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Y. F. Tan, Hamid R. Rabiee
2025	J	`jnl`	Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance. CoRR Leoni Carla Wirth, Gholamali Aminian, Gesine Reinert
2025	J	`jnl`	ReDiF: Reinforced Distillation for Few Step Diffusion. CoRR Amirhossein Tighkhorshid, Zahra Dehghanian, Gholamali Aminian, Chengchun Shi, Hamid R. Rabiee
2025	J	`jnl`	Semi-pessimistic Reinforcement Learning. CoRR Jin Zhu, Xin Zhou, Jiaang Yao, Gholamali Aminian, Omar Rivasplata, Simon Little, Lexin Li, Chengchun Shi
2025	J	`jnl`	Theoretical Analysis of KL-regularized RLHF with Multiple Reference Models. CoRR Gholamali Aminian, Amir R. Asadi, Idan Shenfeld, Youssef Mroueh
2025	J	`jnl`	UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification. CoRR Mohammad Taha Teimuri Jervakani, Zahra Dehghanian, Gholamali Aminian, Hamid R. Rabiee
2024	—	`conf`	An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels. Allerton Haobo Chen, Gholamali Aminian, Yuheng Bu
2024	J	`jnl`	An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels. CoRR Haobo Chen, Gholamali Aminian, Yuheng Bu
2024	A*	`conf`	Generalization Error of Graph Neural Networks in the Mean-field Regime. ICML Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen
2024	J	`jnl`	Generalization Error of Graph Neural Networks in the Mean-field Regime. CoRR Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen
2024	J	`jnl`	Generalization Error of the Tilted Empirical Risk. CoRR Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen
2024	J	`jnl`	Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm. IEEE Trans. Inf. Theory Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
2024	—	`conf`	KLCE: Regularized Imbalance Node-classification Via KL-divergence and Cross-Entropy. Tiny Papers @ ICLR Mohammad Taha Teimuri Jervakani, Zahra Dehghanian, Gholamali Aminian, Hamid R. Rabiee
2024	J	`jnl`	Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. IEEE J. Sel. Areas Inf. Theory Gholamali Aminian, Mohammad Saeed Masiha, Laura Toni, Miguel R. D. Rodrigues
2024	B	`conf`	Robust Semi-supervised Learning via f-Divergence and α- Renyi Divergence. ISIT Gholamali Aminian, Amirhossien Bagheri, Mahyar JafariNodeh, Radmehr Karimian, Mohammad Hossein Yassaee
2024	J	`jnl`	Robust Semi-supervised Learning via f-Divergence and α-Rényi Divergence. CoRR Gholamali Aminian, Amirhossien Bagheri, Mahyar JafariNodeh, Radmehr Karimian, Mohammad Hossein Yassaee
2024	—	`conf`	Semi-supervised Learning under Self-training via $f$-Divergence. Tiny Papers @ ICLR Gholamali Aminian, Amirhossein Bagheri, Radmehr Karimian, Mahyar JafariNodeh, Mohammad Hossein Yassaee
2024	—	`conf`	Synthetic Labeling: A Novel Approach to Advancing Few-Shot Learning. Tiny Papers @ ICLR Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues
2024	J	`jnl`	Understanding Transfer Learning via Mean-field Analysis. CoRR Gholamali Aminian, Lukasz Szpruch, Samuel N. Cohen
2023	A	`conf`	How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan
2023	J	`jnl`	Mean-field Analysis of Generalization Errors. CoRR Gholamali Aminian, Samuel N. Cohen, Lukasz Szpruch
2023	J	`jnl`	On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches. Entropy Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues
2023	B	`conf`	On the Generalization Error of Meta Learning for the Gibbs Algorithm. ISIT Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell
2023	J	`jnl`	On the Generalization Error of Meta Learning for the Gibbs Algorithm. CoRR Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell
2022	A	`conf`	An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. AISTATS Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues
2022	J	`jnl`	An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. CoRR Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues
2022	A	`conf`	Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. AISTATS Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel R. D. Rodrigues
2022	J	`jnl`	How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? CoRR Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan
2022	J	`jnl`	Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm. CoRR Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
2022	J	`jnl`	Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. CoRR Gholamali Aminian, Saeed Masiha, Laura Toni, Miguel R. D. Rodrigues
2022	J	`jnl`	Semi-Counterfactual Risk Minimization Via Neural Networks. CoRR Gholamali Aminian, Roberto Vega, Omar Rivasplata, Laura Toni, Miguel R. D. Rodrigues
2022	B	`conf`	Tighter Expected Generalization Error Bounds via Convexity of Information Measures. ISIT Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues
2022	J	`jnl`	Tighter Expected Generalization Error Bounds via Convexity of Information Measures. CoRR Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues
2021	A*	`conf`	An Exact Characterization of the Generalization Error for the Gibbs Algorithm. NeurIPS Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
2021	J	`jnl`	Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. CoRR Yuheng Bu, Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
2021	J	`jnl`	Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information. CoRR Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
2021	B	`conf`	Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms. ISIT Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues
2021	J	`jnl`	Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms. CoRR Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues
2021	—	`conf`	Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck. MLSP Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues
2020	B	`conf`	Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms. ITW Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues
2020	J	`jnl`	Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms. CoRR Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues
2019	J	`jnl`	On Medium Chemical Reaction in Diffusion-Based Molecular Communication: A Two-Way Relaying Example. IEEE Trans. Commun. Maryam Farahnak-Ghazani, Gholamali Aminian, Mahtab Mirmohseni, Amin Gohari, Masoumeh Nasiri-Kenari
2018	J	`jnl`	Diffusion-Based Molecular Communication With Limited Molecule Production Rate. IEEE Trans. Mol. Biol. Multi Scale Commun. Hamid G. Bafghi, Amin Gohari, Mahtab Mirmohseni, Gholamali Aminian, Masoumeh Nasiri-Kenari
2018	J	`jnl`	On the Capacity of a Class of Signal-Dependent Noise Channels. IEEE Trans. Inf. Theory Hamid Ghourchian, Gholamali Aminian, Amin Gohari, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari
2017	J	`jnl`	On the Capacity of Signal Dependent Noise Channels. CoRR Hamid Ghourchian, Gholamali Aminian, Amin Gohari, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari
2017	—	`conf`	On the capacity of signal dependent noise channels. IWCIT Gholamali Aminian, Hamid Ghourchian, Amin Gohari, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari
2016	J	`jnl`	Physical Layer Network Coding in Molecular Two-Way Relay Networks. CoRR Maryam Farahnak-Ghazani, Gholamali Aminian, Mahtab Mirmohseni, Amin Gohari, Masoumeh Nasiri-Kenari
2016	—	`conf`	Physical layer network coding in molecular two-way relay networks. IWCIT Maryam Farahnak-Ghazani, Gholamali Aminian, Mahtab Mirmohseni, Amin Gohari, Masoumeh Nasiri-Kenari
2015	J	`jnl`	Capacity of Diffusion-Based Molecular Communication Networks Over LTI-Poisson Channels. IEEE Trans. Mol. Biol. Multi Scale Commun. Gholamali Aminian, Hamidreza Arjmandi, Amin Gohari, Masoumeh Nasiri-Kenari, Urbashi Mitra
2015	—	`conf`	Capacity of LTI-Poisson channel for diffusion based molecular communication. ICC Gholamali Aminian, Hamidreza Arjmandi, Amin Gohari, Masoumeh Nasiri-Kenari, Urbashi Mitra
2015	J	`jnl`	On the Capacity of Level and Type Modulation in Molecular Communication with Ligand Receptors. CoRR Gholamali Aminian, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri
2015	J	`jnl`	On the Capacity of Point-to-Point and Multiple-Access Molecular Communications With Ligand-Receptors. IEEE Trans. Mol. Biol. Multi Scale Commun. Gholamali Aminian, Maryam Farahnak-Ghazani, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri
2015	J	`jnl`	On the Capacity of Point-to-Point and Multiple-Access Molecular Communications with Ligand-Receptors. CoRR Gholamali Aminian, Maryam Farahnak-Ghazani, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri
2015	B	`conf`	On the capacity of level and type modulations in Molecular communication with ligand receptors. ISIT Gholamali Aminian, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari, Faramarz Fekri
2014	J	`jnl`	Capacity of Diffusion based Molecular Communication Networks over LTI-Poisson Channels. CoRR Hamidreza Arjmandi, Gholamali Aminian, Amin Gohari, Masoumeh Nasiri-Kenari, Urbashi Mitra