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09/02/2023
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging
We present a method for zero-shot recommendation of multimodal non-stati...
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01/23/2023
Modeling Non-deterministic Human Behaviors in Discrete Food Choices
We establish a non-deterministic model that predicts a user's food prefe...
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11/21/2022
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks
This effort is focused on examining the behavior of reinforcement learni...
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10/12/2022
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets
We propose a method for generating simulated contextual bandit environme...
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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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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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06/18/2020
An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization
In this work, we propose a novel adaptive stochastic gradient-free (ASGF...
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01/15/2020
Biorthogonal greedy algorithms in convex optimization
The study of greedy approximation in the context of convex optimization ...
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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