Farzan Farnia

CoRR, 2024

Towards a Scalable Reference-Free Evaluation of Generative Models.

[BibT_eX]

[DOI]

CoRR, 2024

An Optimism-based Approach to Online Evaluation of Generative Models.

[BibT_eX]

[DOI]

Xiaoyan Hu

Ho-fung Leung

CoRR, 2024

MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations.

[BibT_eX]

[DOI]

CoRR, 2024

On the Mode-Seeking Properties of Langevin Dynamics.

[BibT_eX]

[DOI]

Xiwei Cheng

Kexin Fu

CoRR, 2024

Sparse Domain Transfer via Elastic Net Regularization.

[BibT_eX]

[DOI]

CoRR, 2024

Towards a Scalable Identification of Novel Modes in Generative Models.

[BibT_eX]

[DOI]

CoRR, 2024

Stability and Generalization in Free Adversarial Training.

[BibT_eX]

[DOI]

Xiwei Cheng

Kexin Fu

CoRR, 2024

ChatPattern: Layout Pattern Customization via Natural Language.

[BibT_eX]

[DOI]

CoRR, 2024

On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms.

[BibT_eX]

[DOI]

Haoyu Lei

Amin Gohari

CoRR, 2024

An Interpretable Evaluation of Entropy-based Novelty of Generative Models.

[BibT_eX]

[DOI]

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

An Information Theoretic Approach to Interaction-Grounded Learning.

[BibT_eX]

[DOI]

Xiaoyan Hu

Ho-fung Leung

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

Provably Efficient CVaR RL in Low-rank MDPs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Structured Gradient-Based Interpretations via Norm-Regularized Adversarial Training.

[BibT_eX]

[DOI]

Shizhan Gong

Qi Dou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

On Convergence in Wasserstein Distance and f-divergence Minimization Problems.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., March, 2023

On the Evaluation of Generative Models in Distributed Learning Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

On the Role of Generalization in Transferability of Adversarial Examples.

[BibT_eX]

[DOI]

Yilin Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions.

[BibT_eX]

[DOI]

Mohammad Jalali

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations.

[BibT_eX]

[DOI]

Haniyeh Ehsani Oskouie

Proceedings of the IEEE International Conference on Acoustics, 2023

DiffPattern: Layout Pattern Generation via Discrete Diffusion.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Mode-Seeking Divergences: Theory and Applications to GANs.

[BibT_eX]

[DOI]

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

2022

An Optimal Transport Approach to Personalized Federated Learning.

[BibT_eX]

[DOI]

Amirhossein Reisizadeh

Ramtin Pedarsani

Ali Jadbabaie

IEEE J. Sel. Areas Inf. Theory, 2022

Universal Adversarial Directions.

[BibT_eX]

[DOI]

Ching Lam Choi

CoRR, 2022

On Convergence of Gradient Descent Ascent: A Tight Local Analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Group-Structured Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2021

Train simultaneously, generalize better: Stability of gradient-based minimax learners.

[BibT_eX]

[DOI]

Asuman E. Ozdaglar

Proceedings of the 38th International Conference on Machine Learning, 2021

A Wasserstein Minimax Framework for Mixed Linear Regression.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Understanding GANs in the LQG Setting: Formulation, Generalization and Stability.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

A Fourier-Based Approach to Generalization and Optimization in Deep Learning.

[BibT_eX]

[DOI]

Jesse M. Zhang

David N. C. Tse

IEEE J. Sel. Areas Inf. Theory, 2020

GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models.

[BibT_eX]

[DOI]

CoRR, 2020

GANs May Have No Nash Equilibria.

[BibT_eX]

[DOI]

Asuman E. Ozdaglar

CoRR, 2020

Robust Federated Learning: The Case of Affine Distribution Shifts.

[BibT_eX]

[DOI]

Amirhossein Reisizadeh

Ramtin Pedarsani

Ali Jadbabaie

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Do GANs always have Nash equilibria?

[BibT_eX]

[DOI]

Asuman E. Ozdaglar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Generalizable Adversarial Training via Spectral Normalization.

[BibT_eX]

[DOI]

Jesse M. Zhang

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

A Convex Duality Framework for GANs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

A Minimax Approach to Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

On Feedback in Gaussian Multihop Networks.

[BibT_eX]

[DOI]

Bobbie Chern

Ayfer Özgür

IEEE Trans. Inf. Theory, 2015

Near Optimal Energy Control and Approximate Capacity of Energy Harvesting Communication.

[BibT_eX]

[DOI]

Yishun Dong

Ayfer Özgür

IEEE J. Sel. Areas Commun., 2015

Discrete Rényi Classifiers.

[BibT_eX]

[DOI]

Meisam Razaviyayn

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Minimum HGR correlation principle: From marginals to joint distribution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

On feedback in Gaussian multi-hop networks.

[BibT_eX]

[DOI]

Ayfer Özgür

Proceedings of the 2014 Information Theory and Applications Workshop, 2014

2013

Asymptotic behavior of network capacity under spatial network coding.

[BibT_eX]

[DOI]