Anton Dereventsov

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Reinforcement Learning Agents

Policy Gradient

Top Venues

ICDM (Workshops)

Publications

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