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Anton Dereventsov
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2020 – today
- 2024
- [i13]Oluwole Fagbohun, Rachel M. Harrison, Anton Dereventsov:
An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide. CoRR abs/2402.14837 (2024) - [i12]Anton Bibin, Anton Dereventsov:
Data-Centric Approach to Constrained Machine Learning: A Case Study on Conway's Game of Life. CoRR abs/2408.12778 (2024) - 2023
- [c6]Rachel M. Harrison, Anton Dereventsov, Anton Bibin:
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging. ICDM (Workshops) 2023: 1535-1542 - [c5]Andrew Starnes, Anton Dereventsov, Clayton G. Webster:
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks. ICDM (Workshops) 2023: 1551-1558 - [i11]Andrew Starnes, Anton Dereventsov, E. Susanne Blazek, Folasade Phillips:
Modeling Non-deterministic Human Behaviors in Discrete Food Choices. CoRR abs/2301.09454 (2023) - [i10]Rachel M. Harrison, Anton Dereventsov, Anton Bibin:
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging. CoRR abs/2309.01026 (2023) - [i9]Andrew Starnes, Anton Dereventsov, Clayton G. Webster:
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks. CoRR abs/2310.05324 (2023) - 2022
- [c4]Anton Dereventsov, Anton Bibin:
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets. ICDM (Workshops) 2022: 1-6 - [c3]Andrew Starnes, Anton Dereventsov, E. Susanne Blazek
, Folasade Phillips:
Modeling Non-deterministic Human Behaviors in Discrete Food Choices. ICDM (Workshops) 2022: 1010-1015 - [i8]Anton Dereventsov, Anton Bibin:
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets. CoRR abs/2210.10631 (2022) - [i7]Anton Dereventsov, Andrew Starnes, Clayton G. Webster:
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks. CoRR abs/2211.11869 (2022) - 2021
- [c2]Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster:
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks. ICDM (Workshops) 2021: 742-749 - [i6]Anton Dereventsov, Joseph D. Daws Jr., Clayton G. Webster:
Offline Policy Comparison under Limited Historical Agent-Environment Interactions. CoRR abs/2106.03934 (2021) - [i5]Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster:
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks. CoRR abs/2112.13141 (2021) - 2020
- [c1]Armenak Petrosyan, Anton Dereventsov, Clayton G. Webster:
Neural network integral representations with the ReLU activation function. MSML 2020: 128-143 - [i4]Anton Dereventsov
Biorthogonal greedy algorithms in convex optimization. CoRR abs/2001.05530 (2020) - [i3]Anton Dereventsov
An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization. CoRR abs/2006.10887 (2020)
2010 – 2019
- 2019
- [i2]Anton Dereventsov
Greedy Shallow Networks: A New Approach for Constructing and Training Neural Networks. CoRR abs/1905.10409 (2019) - [i1]Anton Dereventsov
Neural network integral representations with the ReLU activation function. CoRR abs/1910.02743 (2019)
Coauthor Index
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