Saved in:
| Main Authors: | Hu, Renjun, Ahn, Hyun-Soo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.00193 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes
by: Ye, Chenlu, et al.
Published: (2022)
by: Ye, Chenlu, et al.
Published: (2022)
Output-Constrained Decision Trees
by: Tunç, Hüseyin, et al.
Published: (2024)
by: Tunç, Hüseyin, et al.
Published: (2024)
Contextual Online Decision Making with Infinite-Dimensional Functional Regression
by: Hu, Haichen, et al.
Published: (2025)
by: Hu, Haichen, et al.
Published: (2025)
Beyond Fixed Patches: Enhancing GPTs for Financial Prediction with Adaptive Segmentation and Learnable Wavelets
by: Jia, Renjun, et al.
Published: (2025)
by: Jia, Renjun, et al.
Published: (2025)
Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators
by: Campbell, Gregory M., et al.
Published: (2025)
by: Campbell, Gregory M., et al.
Published: (2025)
Contraction-Aligned Analysis of Soft Bellman Residual Minimization with Weighted Lp-Norm for Markov Decision Problem
by: Yang, Hyukjun, et al.
Published: (2026)
by: Yang, Hyukjun, et al.
Published: (2026)
Decision-Focused On-Policy Learning for Contextual Linear Optimization with Partial Feedback
by: Benslimane, Wyame, et al.
Published: (2026)
by: Benslimane, Wyame, et al.
Published: (2026)
Interaction-Grounded Learning for Contextual Markov Decision Processes with Personalized Feedback
by: Zhang, Mengxiao, et al.
Published: (2026)
by: Zhang, Mengxiao, et al.
Published: (2026)
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
by: Kim, Minkyu, et al.
Published: (2022)
by: Kim, Minkyu, et al.
Published: (2022)
SoftSRV: Learn to Generate Targeted Synthetic Data
by: DeSalvo, Giulia, et al.
Published: (2024)
by: DeSalvo, Giulia, et al.
Published: (2024)
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning
by: Ahn, Jin-Hyun, et al.
Published: (2022)
by: Ahn, Jin-Hyun, et al.
Published: (2022)
Multi-View Graph Convolution Network for Internal Talent Recommendation Based on Enterprise Emails
by: Kim, Soo Hyun, et al.
Published: (2025)
by: Kim, Soo Hyun, et al.
Published: (2025)
Learning Flexible Forward Trajectories for Masked Molecular Diffusion
by: Seo, Hyunjin, et al.
Published: (2025)
by: Seo, Hyunjin, et al.
Published: (2025)
Adjusting the Output of Decision Transformer with Action Gradient
by: Lin, Rui, et al.
Published: (2025)
by: Lin, Rui, et al.
Published: (2025)
Gaussian Weight Sampling for Scalable, Efficient and Stable Pseudo-Quantization Training
by: Ahn, Myeonghwan, et al.
Published: (2025)
by: Ahn, Myeonghwan, et al.
Published: (2025)
Soft Weighted Machine Unlearning
by: Qiao, Xinbao, et al.
Published: (2025)
by: Qiao, Xinbao, et al.
Published: (2025)
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
by: Yu, Seunghun, et al.
Published: (2025)
by: Yu, Seunghun, et al.
Published: (2025)
Contextual Decision-Making with Knapsacks Beyond the Worst Case
by: Chen, Zhaohua, et al.
Published: (2022)
by: Chen, Zhaohua, et al.
Published: (2022)
Learning Successive Interference Cancellation for Low-Complexity Soft-Output MIMO Detection
by: Fesl, Benedikt, et al.
Published: (2026)
by: Fesl, Benedikt, et al.
Published: (2026)
Soft Contextualized Encoder For User Defined Text Classification
by: Maheshwari, Charu, et al.
Published: (2026)
by: Maheshwari, Charu, et al.
Published: (2026)
One-Time Soft Alignment Enables Resilient Learning without Weight Transport
by: Cheon, Jeonghwan, et al.
Published: (2025)
by: Cheon, Jeonghwan, et al.
Published: (2025)
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning
by: Deuschel, Jannik, et al.
Published: (2023)
by: Deuschel, Jannik, et al.
Published: (2023)
Large-Scale Targeted Cause Discovery via Learning from Simulated Data
by: Kim, Jang-Hyun, et al.
Published: (2024)
by: Kim, Jang-Hyun, et al.
Published: (2024)
A Temporally Correlated Latent Exploration for Reinforcement Learning
by: Oh, SuMin, et al.
Published: (2024)
by: Oh, SuMin, et al.
Published: (2024)
Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits
by: Werge, Nicklas, et al.
Published: (2023)
by: Werge, Nicklas, et al.
Published: (2023)
Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target Tokens
by: Yang, Xikang, et al.
Published: (2024)
by: Yang, Xikang, et al.
Published: (2024)
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
by: Cheng, Yi, et al.
Published: (2024)
by: Cheng, Yi, et al.
Published: (2024)
Recovering Plasticity of Neural Networks via Soft Weight Rescaling
by: Oh, Seungwon, et al.
Published: (2025)
by: Oh, Seungwon, et al.
Published: (2025)
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
by: Hahn, Seok-Ju, et al.
Published: (2024)
by: Hahn, Seok-Ju, et al.
Published: (2024)
Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning
by: Wang, Shudong, et al.
Published: (2025)
by: Wang, Shudong, et al.
Published: (2025)
Sampling Decisions
by: Chertkov, Michael, et al.
Published: (2025)
by: Chertkov, Michael, et al.
Published: (2025)
WSS-CL: Weight Saliency Soft-Guided Contrastive Learning for Efficient Machine Unlearning Image Classification
by: Tran, Thang Duc, et al.
Published: (2025)
by: Tran, Thang Duc, et al.
Published: (2025)
Direct Soft-Policy Sampling via Langevin Dynamics
by: Ki, Donghyeon, et al.
Published: (2026)
by: Ki, Donghyeon, et al.
Published: (2026)
Joint Input and Output Coordination for Class-Incremental Learning
by: Wang, Shuai, et al.
Published: (2024)
by: Wang, Shuai, et al.
Published: (2024)
GeoReg: Weight-Constrained Few-Shot Regression for Socio-Economic Estimation using LLM
by: Ahn, Kyeongjin, et al.
Published: (2025)
by: Ahn, Kyeongjin, et al.
Published: (2025)
Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning
by: Kim, Myoungjun, et al.
Published: (2026)
by: Kim, Myoungjun, et al.
Published: (2026)
Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
by: Yuan, Yifei, et al.
Published: (2025)
by: Yuan, Yifei, et al.
Published: (2025)
Explicit Feature Interaction-aware Graph Neural Networks
by: Kim, Minkyu, et al.
Published: (2022)
by: Kim, Minkyu, et al.
Published: (2022)
Contextual Preference Distribution Learning
by: Hudson, Benjamin, et al.
Published: (2026)
by: Hudson, Benjamin, et al.
Published: (2026)
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
by: Sadana, Utsav, et al.
Published: (2023)
by: Sadana, Utsav, et al.
Published: (2023)
Similar Items
-
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes
by: Ye, Chenlu, et al.
Published: (2022) -
Output-Constrained Decision Trees
by: Tunç, Hüseyin, et al.
Published: (2024) -
Contextual Online Decision Making with Infinite-Dimensional Functional Regression
by: Hu, Haichen, et al.
Published: (2025) -
Beyond Fixed Patches: Enhancing GPTs for Financial Prediction with Adaptive Segmentation and Learnable Wavelets
by: Jia, Renjun, et al.
Published: (2025) -
Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators
by: Campbell, Gregory M., et al.
Published: (2025)