Anton Dereventsov | DeepAI

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Featured Co-authors

Vladimir Temlyakov
14 publications
Clayton Webster
9 publications
Ranga Raju Vatsavai
8 publications
Clayton G. Webster
5 publications
Armenak Petrosyan
4 publications
Anton Bibin
2 publications
Andrew Starnes
2 publications
Rachel Harrison
2 publications
Joseph D. Daws Jr
2 publications
E. Susanne Blazek
1 publication
Folasade Phillips
1 publication

∙ 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...

0 Rachel Harrison, et al. ∙

∙ 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...

0 Andrew Starnes, et al. ∙

∙ 11/21/2022

Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks

This effort is focused on examining the behavior of reinforcement learni...

0 Anton Dereventsov, et al. ∙

∙ 10/12/2022

Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets

We propose a method for generating simulated contextual bandit environme...

0 Anton Dereventsov, et al. ∙

∙ 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...

5 Anton Dereventsov, et al. ∙

∙ 06/07/2021

Offline Policy Comparison under Limited Historical Agent-Environment Interactions

We address the challenge of policy evaluation in real-world applications...

5 Anton Dereventsov, et al. ∙

∙ 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...

0 Anton Dereventsov, et al. ∙

∙ 01/15/2020

Biorthogonal greedy algorithms in convex optimization

The study of greedy approximation in the context of convex optimization ...

0 Anton Dereventsov, et al. ∙

∙ 10/07/2019

Neural network integral representations with the ReLU activation function

We derive a formula for neural network integral representations on the s...

0 Anton Dereventsov, et al. ∙

∙ 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...

0 Anton Dereventsov, et al. ∙

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