Cover Image

Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gong, Shijin, Ye, Kai, Zhu, Jin, Zhang, Xinyu, Zhou, Hongyi, Shi, Chengchun
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BASIS: Batchwise Advantage Estimation from Single-Rollout Information Sharing for LLM Reasoning
by: Gong, Shijin, et al.
Published: (2026)

Demystifying Group Relative Policy Optimization: Its Policy Gradient is a U-Statistic
by: Zhou, Hongyi, et al.
Published: (2026)

Detecting LLM-Generated Text with Performance Guarantees
by: Zhou, Hongyi, et al.
Published: (2026)

Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text
by: Zhou, Hongyi, et al.
Published: (2026)

Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning
by: Ye, Kai, et al.
Published: (2025)

AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
by: Zhou, Hongyi, et al.
Published: (2025)

Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation
by: Zhou, Hongyi, et al.
Published: (2025)

Statistical Inference in Reinforcement Learning: A Selective Survey
by: Shi, Chengchun
Published: (2025)

Doubly Robust Alignment for Large Language Models
by: Xu, Erhan, et al.
Published: (2025)

PEARL: Performance-Enhanced Aggregated Representation Learning
by: Li, Wenhui, et al.
Published: (2025)

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach
by: Zhu, Jin, et al.
Published: (2025)

Deep Generative Demand Learning for Newsvendor and Pricing
by: Gong, Shijin, et al.
Published: (2024)

Reinforcement Learning from Human Feedback: A Statistical Perspective
by: Liu, Pangpang, et al.
Published: (2026)

Quantile Advantage Estimation: Stabilizing RLVR for LLM Reasoning
by: Wu, Junkang, et al.
Published: (2025)

From Authors to Reviewers: Leveraging Rankings to Improve Peer Review
by: Wang, Weichen, et al.
Published: (2025)

Learning Perturbations to Extrapolate Your LLM
by: Cen, Zetai, et al.
Published: (2026)

Distributed Clustering based on Distributional Kernel
by: Zhang, Hang, et al.
Published: (2024)

From Weighting to Modeling: A Nonparametric Estimator for Off-Policy Evaluation
by: Zhu, Rong J. B.
Published: (2026)

Perturbation is All You Need for Extrapolating Language Models
by: Cen, Zetai, et al.
Published: (2026)

Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimal
by: Meunier, Dimitri, et al.
Published: (2024)

Segmental Advantage Estimation: Enhancing PPO for Long-Context LLM Training
by: Gong, Xue, et al.
Published: (2026)

Nonparametric Kernel Clustering with Bandit Feedback
by: Thuot, Victor, et al.
Published: (2026)

Active Learning with Neural Networks: Insights from Nonparametric Statistics
by: Zhu, Yinglun, et al.
Published: (2022)

Mitigating Think-Answer Mismatch in LLM Reasoning Through Noise-Aware Advantage Reweighting
by: Shen, Si, et al.
Published: (2025)

In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods
by: Miroszewski, Artur, et al.
Published: (2024)

Accelerating RL for LLM Reasoning with Optimal Advantage Regression
by: Brantley, Kianté, et al.
Published: (2025)

AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage Margin
by: Xiong, Jian, et al.
Published: (2025)

SHAPE: Stage-aware Hierarchical Advantage via Potential Estimation for LLM Reasoning
by: Ai, Zhengyang, et al.
Published: (2026)

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels
by: Wang, Han, et al.
Published: (2026)

Robust Offline Reinforcement learning with Heavy-Tailed Rewards
by: Zhu, Jin, et al.
Published: (2023)

Counterfactually Safe Reinforcement Learning
by: Li, Jingyi, et al.
Published: (2026)

Dual Active Learning for Reinforcement Learning from Human Feedback
by: Liu, Pangpang, et al.
Published: (2024)

Statistical Advantages of Perturbing Cosine Router in Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2024)

The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms
by: Han, Xin, et al.
Published: (2020)

Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression
by: Liu, Jiading, et al.
Published: (2022)

Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
by: Wen, Qianglin, et al.
Published: (2024)

ADORA: Training Reasoning Models with Dynamic Advantage Estimation on Reinforcement Learning
by: Ren, Qingnan, et al.
Published: (2026)

An Online Automatic Modulation Classification Scheme Based on Isolation Distributional Kernel
by: Li, Xinpeng, et al.
Published: (2024)

ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
by: Ye, Hengyu, et al.
Published: (2024)

Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model
by: Zhou, Yonghang, et al.
Published: (2024)