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07/24/2023
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
This paper studies the problem of training a two-layer ReLU network for ...
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11/28/2022
Learning Coherent Clusters in Weakly-Connected Network Systems
We propose a structure-preserving model-reduction methodology for large-...
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12/09/2021
Reinforcement Learning with Almost Sure Constraints
In this work we address the problem of finding feasible policies for Con...
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05/18/2021
Learning to Act Safely with Limited Exposure and Almost Sure Certainty
This paper aims to put forward the concept that learning to take safe ac...
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05/13/2021
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
Neural networks trained via gradient descent with random initialization ...
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03/14/2019