Anton Dereventsov

20 papers Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide.
CoRR
Oluwole Fagbohun, Rachel M. Harrison, Anton Dereventsov
2024 J jnl
Data-Centric Approach to Constrained Machine Learning: A Case Study on Conway's Game of Life.
CoRR
Anton Bibin, Anton Dereventsov
2024 — conf
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks.
ICPRAI (1)
Anton Dereventsov, Andrew Starnes, Clayton G. Webster
2023 — conf
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks.
ICDM (Workshops)
Andrew Starnes, Anton Dereventsov, Clayton G. Webster
2023 J jnl
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks.
CoRR
Andrew Starnes, Anton Dereventsov, Clayton G. Webster
2023 J jnl
Modeling Non-deterministic Human Behaviors in Discrete Food Choices.
CoRR
Andrew Starnes, Anton Dereventsov, E. Susanne Blazek, Folasade Phillips
2023 — conf
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging.
ICDM (Workshops)
Rachel M. Harrison, Anton Dereventsov, Anton Bibin
2023 J jnl
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging.
CoRR
Rachel M. Harrison, Anton Dereventsov, Anton Bibin
2022 J jnl
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks.
CoRR
Anton Dereventsov, Andrew Starnes, Clayton G. Webster
2022 — conf
Modeling Non-deterministic Human Behaviors in Discrete Food Choices.
ICDM (Workshops)
Andrew Starnes, Anton Dereventsov, E. Susanne Blazek, Folasade Phillips
2022 — conf
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets.
ICDM (Workshops)
Anton Dereventsov, Anton Bibin
2022 J jnl
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets.
CoRR
Anton Dereventsov, Anton Bibin
2021 J jnl
Offline Policy Comparison under Limited Historical Agent-Environment Interactions.
CoRR
Anton Dereventsov, Joseph D. Daws Jr., Clayton G. Webster
2021 — conf
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks.
ICDM (Workshops)
Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster
2021 J jnl
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks.
CoRR
Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster
2020 J jnl
An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization.
CoRR
Anton Dereventsov, Clayton G. Webster, Joseph D. Daws Jr.
2020 J jnl
Biorthogonal greedy algorithms in convex optimization.
CoRR
Anton Dereventsov, Vladimir N. Temlyakov
2020 — conf
Neural network integral representations with the ReLU activation function.
MSML
Armenak Petrosyan, Anton Dereventsov, Clayton G. Webster
2019 J jnl
Greedy Shallow Networks: A New Approach for Constructing and Training Neural Networks.
CoRR
Anton Dereventsov, Armenak Petrosyan, Clayton G. Webster
2019 J jnl
Neural network integral representations with the ReLU activation function.
CoRR
Anton Dereventsov, Armenak Petrosyan, Clayton G. Webster