Pedro Cisneros-Velarde

CoRR, 2024

Optimization and Generalization Guarantees for Weight Normalization.

[BibT_eX]

[DOI]

Zhijie Chen

CoRR, 2024

On the Principles behind Opinion Dynamics in Multi-Agent Systems of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Distributed Wasserstein Barycenters via Displacement Interpolation.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., June, 2023

Finite-sample guarantees for Nash Q-learning with linear function approximation.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Neural tangent kernel at initialization: linear width suffices.

[BibT_eX]

[DOI]

Libin Zhu

Mikhail Belkin

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Restricted Strong Convexity of Deep Learning Models with Smooth Activations.

[BibT_eX]

[DOI]

Libin Zhu

Misha Belkin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning.

[BibT_eX]

[DOI]

Boxiang Lyu

Mladen Kolar

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

2022

Multigroup SIS Epidemics With Simplicial and Higher Order Interactions.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2022

Weak and Semi-Contraction for Network Systems and Diffusively Coupled Oscillators.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Contraction Theory for Dynamical Systems on Hilbert Spaces.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

A Contraction Analysis of Primal-Dual Dynamics in Distributed and Time-Varying Implementations.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Restricted Strong Convexity of Deep Learning Models with Smooth Activations.

[BibT_eX]

[DOI]

Libin Zhu

Mikhail Belkin

CoRR, 2022

Discrete State-Action Abstraction via the Successor Representation.

[BibT_eX]

[DOI]

Amnon Attali

Marco Morales

Nancy M. Amato

CoRR, 2022

One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning.

[BibT_eX]

[DOI]

Boxiang Lyu

Mladen Kolar

CoRR, 2022

A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows.

[BibT_eX]

[DOI]

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

2021

Polarization and Fluctuations in Signed Social Networks.

[BibT_eX]

[DOI]

Kevin S. Chan

IEEE Trans. Autom. Control., 2021

Structural Balance via Gradient Flows Over Signed Graphs.

[BibT_eX]

[DOI]

Noah E. Friedkin

Anton V. Proskurnikov

IEEE Trans. Autom. Control., 2021

From Contraction Theory to Fixed Point Algorithms on Riemannian and Non-Euclidean Spaces.

[BibT_eX]

[DOI]

Alexander Davydov

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Signed Network Formation Games and Clustering Balance.

[BibT_eX]

[DOI]

Dyn. Games Appl., 2020

Multi-group SIS Epidemics with Simplicial and Higher-Order Interactions.

[BibT_eX]

[DOI]

CoRR, 2020

Weak and Semi-Contraction Theory with Application to Network Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Distributed and time-varying primal-dual dynamics via contraction analysis.

[BibT_eX]

[DOI]

CoRR, 2020

Hierarchical Network Formation Games.

[BibT_eX]

[DOI]

CoRR, 2020

Distributionally Robust Formulation and Model Selection for the Graphical Lasso.

[BibT_eX]

[DOI]

Alexander Petersen

Sang-Yun Oh

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Dynamic social balance and convergent appraisals via homophily and influence mechanisms.

[BibT_eX]

[DOI]

Wenjun Mei

Ge Chen

Noah E. Friedkin

Autom., 2019

2017

Dynamic Social Balance and Convergent Appraisals via Homophily and Influence Mechanisms.

[BibT_eX]

[DOI]

Wenjun Mei

Noah E. Friedkin

CoRR, 2017

2016

Automatic pneumonia detection based on ultrasound video analysis.

[BibT_eX]

[DOI]