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12/24/2021
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks
In this effort we consider a reinforcement learning (RL) technique for s...
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07/03/2021
An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems
In this paper we present an asymptotically compatible meshfree method fo...
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06/07/2021
Offline Policy Comparison under Limited Historical Agent-Environment Interactions
We address the challenge of policy evaluation in real-world applications...
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04/13/2020
Analysis of The Ratio of ℓ_1 and ℓ_2 Norms in Compressed Sensing
We first propose a novel criterion that guarantees that an s-sparse sign...
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12/04/2019
Analysis of Deep Neural Networks with Quasi-optimal polynomial approximation rates
We show the existence of a deep neural network capable of approximating ...
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10/07/2019
Neural network integral representations with the ReLU activation function
We derive a formula for neural network integral representations on the s...
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05/24/2019
Robust learning with implicit residual networks
In this effort we propose a new deep architecture utilizing residual blo...
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05/24/2019
Greedy Shallow Networks: A New Approach for Constructing and Training Neural Networks
We present a novel greedy approach to obtain a single layer neural netwo...
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11/21/2018