conftrace_

tabular learning

12 papers

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Co-occurring keywords · papers mentioning both

large language model (3) tabular reinforcement learning (3) reinforcement learning (3) graph neural network (2) feature engineering (2) regret bound (2) markov decision process (2) sample complexity (2) in-context learning (2) relation graph (1)

Papers

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data IJCAI 2025 Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning IJCAI 2025 TabFlex: Scaling Tabular Learning to Millions with Linear Attention ICML 2025 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs NeurIPS 2024 Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning ICML 2024 Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning NeurIPS 2024 T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction AAAI 2023 Hardness in Markov Decision Processes: Theory and Practice NeurIPS 2022 Nearly Optimal Policy Optimization with Stable at Any Time Guarantee ICML 2022 Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract) AAAI 2021 TabNet: Attentive Interpretable Tabular Learning AAAI 2021 UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021