Saved in:
| Main Authors: | Yermekov, A., Herrera-Martí, D. A. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.22892 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
StackFeat: a convergent algorithm for optimal predictor selection in genomic data
by: Yermekov, Akbar, et al.
Published: (2026)
by: Yermekov, Akbar, et al.
Published: (2026)
Automation and Feature Selection Enhancement with Reinforcement Learning (RL)
by: Nagaraju, Sumana Sanyasipura
Published: (2025)
by: Nagaraju, Sumana Sanyasipura
Published: (2025)
FeatNavigator: Automatic Feature Augmentation on Tabular Data
by: Liang, Jiaming, et al.
Published: (2024)
by: Liang, Jiaming, et al.
Published: (2024)
FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning
by: Qiu, Zhaopeng, et al.
Published: (2026)
by: Qiu, Zhaopeng, et al.
Published: (2026)
FeatCal: Feature Calibration for Post-Merging Models
by: Gu, Yanggan, et al.
Published: (2026)
by: Gu, Yanggan, et al.
Published: (2026)
Percentile Criterion Optimization in Offline Reinforcement Learning
by: Lobo, Elita A., et al.
Published: (2024)
by: Lobo, Elita A., et al.
Published: (2024)
Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
by: Lan, Chaowang, et al.
Published: (2025)
by: Lan, Chaowang, et al.
Published: (2025)
MeshFeat: Multi-Resolution Features for Neural Fields on Meshes
by: Mahajan, Mihir, et al.
Published: (2024)
by: Mahajan, Mihir, et al.
Published: (2024)
FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables
by: Qi, Danrui, et al.
Published: (2024)
by: Qi, Danrui, et al.
Published: (2024)
RoiRL: Efficient, Self-Supervised Reasoning with Offline Iterative Reinforcement Learning
by: Arzhantsev, Aleksei, et al.
Published: (2025)
by: Arzhantsev, Aleksei, et al.
Published: (2025)
MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability
by: Khadka, Barsat
Published: (2026)
by: Khadka, Barsat
Published: (2026)
Stacked Universal Successor Feature Approximators for Safety in Reinforcement Learning
by: Cannon, Ian, et al.
Published: (2024)
by: Cannon, Ian, et al.
Published: (2024)
FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform
by: Tong, Xin, et al.
Published: (2025)
by: Tong, Xin, et al.
Published: (2025)
Dual-Criterion Curriculum Learning: Application to Temporal Data
by: Abel, Gaspard, et al.
Published: (2026)
by: Abel, Gaspard, et al.
Published: (2026)
FeatEHR-LLM: Leveraging Large Language Models for Feature Engineering in Electronic Health Records
by: Karami, Hojjat, et al.
Published: (2026)
by: Karami, Hojjat, et al.
Published: (2026)
MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction
by: Zhang, Zizheng, et al.
Published: (2026)
by: Zhang, Zizheng, et al.
Published: (2026)
Constrained Multi-Objective Reinforcement Learning with Max-Min Criterion
by: Park, Giseung, et al.
Published: (2026)
by: Park, Giseung, et al.
Published: (2026)
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
by: Fu, Stephanie, et al.
Published: (2024)
by: Fu, Stephanie, et al.
Published: (2024)
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
by: Sikchi, Harshit, et al.
Published: (2023)
by: Sikchi, Harshit, et al.
Published: (2023)
MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search
by: Kim, Sungyoon, et al.
Published: (2025)
by: Kim, Sungyoon, et al.
Published: (2025)
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
by: Sirko-Galouchenko, Sophia, et al.
Published: (2024)
by: Sirko-Galouchenko, Sophia, et al.
Published: (2024)
Nonconvex Regularization for Feature Selection in Reinforcement Learning
by: Suzuki, Kyohei, et al.
Published: (2025)
by: Suzuki, Kyohei, et al.
Published: (2025)
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion
by: Shaik, Thanveer, et al.
Published: (2023)
by: Shaik, Thanveer, et al.
Published: (2023)
Dual-Agent Reinforcement Learning for Automated Feature Generation
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
by: Song, Yue, et al.
Published: (2023)
by: Song, Yue, et al.
Published: (2023)
AutoResearch-RL: Perpetual Self-Evaluating Reinforcement Learning Agents for Autonomous Neural Architecture Discovery
by: Jain, Nilesh, et al.
Published: (2026)
by: Jain, Nilesh, et al.
Published: (2026)
A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints
by: Munn, Michael, et al.
Published: (2024)
by: Munn, Michael, et al.
Published: (2024)
i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
by: Ma, Chen, et al.
Published: (2026)
by: Ma, Chen, et al.
Published: (2026)
Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality
by: Zhang, Haizhou, et al.
Published: (2024)
by: Zhang, Haizhou, et al.
Published: (2024)
Unsupervised Feature Selection Through Group Discovery
by: Lifshitz, Shira, et al.
Published: (2025)
by: Lifshitz, Shira, et al.
Published: (2025)
Iterative Feature Exclusion Ranking for Deep Tabular Learning
by: Shaninah, Fathi Said Emhemed, et al.
Published: (2024)
by: Shaninah, Fathi Said Emhemed, et al.
Published: (2024)
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes
by: Meng, Zizhuo, et al.
Published: (2024)
by: Meng, Zizhuo, et al.
Published: (2024)
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
by: Zhao, Yang, et al.
Published: (2025)
by: Zhao, Yang, et al.
Published: (2025)
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries
by: Inan, Muhammad Sakib Khan, et al.
Published: (2025)
by: Inan, Muhammad Sakib Khan, et al.
Published: (2025)
No Mean Feat: Simple, Strong Baselines for Context Compression
by: Feldman, Yair, et al.
Published: (2025)
by: Feldman, Yair, et al.
Published: (2025)
Optimizing Prognostic Biomarker Discovery in Pancreatic Cancer Through Hybrid Ensemble Feature Selection and Multi-Omics Data
by: Zobolas, John, et al.
Published: (2025)
by: Zobolas, John, et al.
Published: (2025)
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
by: Lin, Yingyu, et al.
Published: (2024)
by: Lin, Yingyu, et al.
Published: (2024)
On the Role of Iterative Computation in Reinforcement Learning
by: Ghugare, Raj, et al.
Published: (2026)
by: Ghugare, Raj, et al.
Published: (2026)
PokeRL: Reinforcement Learning for Pokemon Red
by: Mudireddy, Dheeraj, et al.
Published: (2026)
by: Mudireddy, Dheeraj, et al.
Published: (2026)
Employing Iterative Feature Selection in Fuzzy Rule-Based Binary Classification
by: Li, Haoning, et al.
Published: (2024)
by: Li, Haoning, et al.
Published: (2024)
Similar Items
-
StackFeat: a convergent algorithm for optimal predictor selection in genomic data
by: Yermekov, Akbar, et al.
Published: (2026) -
Automation and Feature Selection Enhancement with Reinforcement Learning (RL)
by: Nagaraju, Sumana Sanyasipura
Published: (2025) -
FeatNavigator: Automatic Feature Augmentation on Tabular Data
by: Liang, Jiaming, et al.
Published: (2024) -
FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning
by: Qiu, Zhaopeng, et al.
Published: (2026) -
FeatCal: Feature Calibration for Post-Merging Models
by: Gu, Yanggan, et al.
Published: (2026)