Gholamali Aminian

IEEE Trans. Inf. Theory, January, 2024

Learning Algorithm Generalization Error Bounds via Auxiliary Distributions.

[BibT_eX]

[DOI]

Mohammad Saeed Masiha

IEEE J. Sel. Areas Inf. Theory, 2024

Understanding Transfer Learning via Mean-field Analysis.

[BibT_eX]

[DOI]

Lukasz Szpruch

Samuel N. Cohen

CoRR, 2024

Generalization Error of the Tilted Empirical Risk.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Semi-supervised Learning via f-Divergence and α- Renyi Divergence.

[BibT_eX]

[DOI]

Mohammad Hossein Yassaee

Proceedings of the IEEE International Symposium on Information Theory, 2024

Generalization Error of Graph Neural Networks in the Mean-field Regime.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Synthetic Labeling: A Novel Approach to Advancing Few-Shot Learning.

[BibT_eX]

[DOI]

Zhaoyan Lyu

Mohammad Taha Teimuri Jervakani

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

KLCE: Regularized Imbalance Node-classification Via KL-divergence and Cross-Entropy.

[BibT_eX]

[DOI]

Zahra Dehghanian

Hamid R. Rabiee

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Semi-supervised Learning under Self-training via $f$-Divergence.

[BibT_eX]

[DOI]

Mohammad Hossein Yassaee

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels.

[BibT_eX]

[DOI]

Haobo Chen

Proceedings of the 60th Annual Allerton Conference on Communication, 2024

2023

On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches.

[BibT_eX]

[DOI]

Zhaoyan Lyu

Entropy, July, 2023

Mean-field Analysis of Generalization Errors.

[BibT_eX]

[DOI]

Samuel N. Cohen

Lukasz Szpruch

CoRR, 2023

On the Generalization Error of Meta Learning for the Gibbs Algorithm.

[BibT_eX]

[DOI]

Harsha Vardhan Tetali

Proceedings of the IEEE International Symposium on Information Theory, 2023

How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?

[BibT_eX]

[DOI]

Haiyun He

Vincent Y. F. Tan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Learning Algorithm Generalization Error Bounds via Auxiliary Distributions.

[BibT_eX]

[DOI]

Saeed Masiha

CoRR, 2022

Semi-Counterfactual Risk Minimization Via Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Tighter Expected Generalization Error Bounds via Convexity of Information Measures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift.

[BibT_eX]

[DOI]

Mahed Abroshan

Mohammad Mahdi Khalili

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information.

[BibT_eX]

[DOI]

CoRR, 2021

An Exact Characterization of the Generalization Error for the Gibbs Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck.

[BibT_eX]

[DOI]

Zhaoyan Lyu

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2020

2019

On Medium Chemical Reaction in Diffusion-Based Molecular Communication: A Two-Way Relaying Example.

[BibT_eX]

[DOI]

Maryam Farahnak-Ghazani

IEEE Trans. Commun., 2019

2018

Diffusion-Based Molecular Communication With Limited Molecule Production Rate.

[BibT_eX]

[DOI]

IEEE Trans. Mol. Biol. Multi Scale Commun., 2018

On the Capacity of a Class of Signal-Dependent Noise Channels.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

2017

On the capacity of signal dependent noise channels.

[BibT_eX]

[DOI]

Proceedings of the Iran Workshop on Communication and Information Theory, 2017

2016

Physical layer network coding in molecular two-way relay networks.

[BibT_eX]

[DOI]

Maryam Farahnak-Ghazani

Proceedings of the Iran Workshop on Communication and Information Theory, 2016

2015

On the Capacity of Point-to-Point and Multiple-Access Molecular Communications With Ligand-Receptors.

[BibT_eX]

[DOI]

Maryam Farahnak-Ghazani

Faramarz Fekri

IEEE Trans. Mol. Biol. Multi Scale Commun., 2015

Capacity of Diffusion-Based Molecular Communication Networks Over LTI-Poisson Channels.

[BibT_eX]

[DOI]

Hamidreza Arjmandi

Urbashi Mitra

IEEE Trans. Mol. Biol. Multi Scale Commun., 2015

On the Capacity of Level and Type Modulation in Molecular Communication with Ligand Receptors.

[BibT_eX]

[DOI]

Faramarz Fekri

CoRR, 2015

On the capacity of level and type modulations in Molecular communication with ligand receptors.

[BibT_eX]

[DOI]

Faramarz Fekri

Proceedings of the IEEE International Symposium on Information Theory, 2015

Capacity of LTI-Poisson channel for diffusion based molecular communication.

[BibT_eX]

[DOI]

Hamidreza Arjmandi