Anton Dereventsov

According to our database, Anton Dereventsov authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide.

Oluwole Fagbohun, Rachel M. Harrison, Anton Dereventsov

CoRR, 2024

2023

Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks.

Andrew Starnes, Anton Dereventsov, Clayton G. Webster

Proceedings of the IEEE International Conference on Data Mining, 2023

Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging.

Rachel M. Harrison, Anton Dereventsov, Anton Bibin

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks.

Anton Dereventsov, Andrew Starnes, Clayton G. Webster

CoRR, 2022

Modeling Non-deterministic Human Behaviors in Discrete Food Choices.

Andrew Starnes, Anton Dereventsov, E. Susanne Blazek, Folasade Phillips

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets.

Anton Dereventsov, Anton Bibin

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Offline Policy Comparison under Limited Historical Agent-Environment Interactions.

Anton Dereventsov, Joseph D. Daws Jr., Clayton G. Webster

CoRR, 2021

On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks.

Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization.

Anton Dereventsov, Clayton G. Webster, Joseph D. Daws Jr.

CoRR, 2020

Biorthogonal greedy algorithms in convex optimization.

Anton Dereventsov, Vladimir N. Temlyakov

CoRR, 2020

Neural network integral representations with the ReLU activation function.

Armenak Petrosyan, Anton Dereventsov, Clayton G. Webster

Proceedings of Mathematical and Scientific Machine Learning, 2020

2019

Greedy Shallow Networks: A New Approach for Constructing and Training Neural Networks.

Anton Dereventsov, Armenak Petrosyan, Clayton G. Webster

CoRR, 2019