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09/24/2022
One-Shot Learning of Stochastic Differential Equations with Computational Graph Completion
We consider the problem of learning Stochastic Differential Equations of...
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09/22/2022
Optimal Stopping with Gaussian Processes
We propose a novel group of Gaussian Process based algorithms for fast a...
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08/24/2021
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball
There are essentially three kinds of approaches to Uncertainty Quantific...
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06/07/2021
Deterministic Iteratively Built KD-Tree with KNN Search for Exact Applications
K-Nearest Neighbors (KNN) search is a fundamental algorithm in artificia...
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03/18/2021
Decision Theoretic Bootstrapping
The design and testing of supervised machine learning models combine two...
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02/11/2021
Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors
State-of-the-art machine learning models are vulnerable to data poisonin...
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07/16/2018
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms
In this article, we sketch an algorithm that extends the Q-learning algo...
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08/01/2017
Intrinsic Frequency Analysis and Fast Algorithms
Intrinsic Frequency (IF) has recently been introduced as an ample signal...
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01/19/2017