Daniel Beaglehole

Adityanarayanan Radhakrishnan

Libin Zhu

CoRR, 2024

Fast, optimal, and dynamic electoral campaign budgeting by a generalized Colonel Blotto game.

[BibT_eX]

[DOI]

Thomas Valles

CoRR, 2024

Average gradient outer product as a mechanism for deep neural collapse.

[BibT_eX]

[DOI]

CoRR, 2024

Gradient descent induces alignment between weights and the empirical NTK for deep non-linear networks.

[BibT_eX]

[DOI]

Ioannis Mitliagkas

Atish Agarwala

CoRR, 2024

2023

On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions.

[BibT_eX]

[DOI]

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

Mechanism of feature learning in convolutional neural networks.

[BibT_eX]

[DOI]

Adityanarayanan Radhakrishnan

Adityanarayanan Radhakrishnan

CoRR, 2023

Sampling Equilibria: Fast No-Regret Learning in Structured Games.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

2022

Feature learning in neural networks and kernel machines that recursively learn features.

[BibT_eX]

[DOI]

CoRR, 2022

Kernel Ridgeless Regression is Inconsistent for Low Dimensions.

[BibT_eX]

[DOI]

CoRR, 2022

An Efficient Approximation Algorithm for the Colonel Blotto Game.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Hash Robustly, Guaranteed.

[BibT_eX]

[DOI]

Alexandr Andoni

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning to Hash Robustly, with Guarantees.

[BibT_eX]

[DOI]

Alexandr Andoni