Saved in:
| Main Authors: | Zhu, Tong, Chen, Baiting, Zhou, Jin, Zhou, Hua, Sankararaman, Sriram, Dai, Xiaowu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.00127 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Incentivizing Truthful Language Models via Peer Elicitation Games
by: Chen, Baiting, et al.
Published: (2025)
by: Chen, Baiting, et al.
Published: (2025)
Prediction-Powered Conditional Inference
by: Sui, Yang, et al.
Published: (2026)
by: Sui, Yang, et al.
Published: (2026)
Detecting LLM-Generated Text with Performance Guarantees
by: Zhou, Hongyi, et al.
Published: (2026)
by: Zhou, Hongyi, et al.
Published: (2026)
Common-agency Games for Multi-Objective Test-Time Alignment
by: Chen, Baiting, et al.
Published: (2026)
by: Chen, Baiting, et al.
Published: (2026)
Learn then Decide: A Learning Approach for Designing Data Marketplaces
by: Gao, Yingqi, et al.
Published: (2025)
by: Gao, Yingqi, et al.
Published: (2025)
dotears: Scalable, consistent DAG estimation using observational and interventional data
by: Xue, Albert, et al.
Published: (2023)
by: Xue, Albert, et al.
Published: (2023)
Uncertainty-Aware Multimodal Learning via Conformal Shapley Intervals
by: Chandy, Mathew, et al.
Published: (2026)
by: Chandy, Mathew, et al.
Published: (2026)
CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
by: Gorla, Aditya, et al.
Published: (2025)
by: Gorla, Aditya, et al.
Published: (2025)
A Robust Multi-Item Auction Design with Statistical Learning
by: Han, Jiale, et al.
Published: (2023)
by: Han, Jiale, et al.
Published: (2023)
Variance Reduction via Resampling and Experience Replay
by: Han, Jiale, et al.
Published: (2025)
by: Han, Jiale, et al.
Published: (2025)
Prior-Aligned Meta-RL: Thompson Sampling with Learned Priors and Guarantees in Finite-Horizon MDPs
by: Zhou, Runlin, et al.
Published: (2025)
by: Zhou, Runlin, et al.
Published: (2025)
Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
by: Li, Victor, et al.
Published: (2025)
by: Li, Victor, et al.
Published: (2025)
Post-Regularization Confidence Bands for Ordinary Differential Equations
by: Dai, Xiaowu, et al.
Published: (2021)
by: Dai, Xiaowu, et al.
Published: (2021)
Multi-Objective Alignment of Language Models for Personalized Psychotherapy
by: Beikzadeh, Mehrab, et al.
Published: (2026)
by: Beikzadeh, Mehrab, et al.
Published: (2026)
Conformal Prediction: A Data Perspective
by: Zhou, Xiaofan, et al.
Published: (2024)
by: Zhou, Xiaofan, et al.
Published: (2024)
Probabilistic Soundness Guarantees in LLM Reasoning Chains
by: You, Weiqiu, et al.
Published: (2025)
by: You, Weiqiu, et al.
Published: (2025)
Calibrate-Then-Delegate: Safety Monitoring with Risk and Budget Guarantees via Model Cascades
by: Pona, Edoardo, et al.
Published: (2026)
by: Pona, Edoardo, et al.
Published: (2026)
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
by: Zhu, Yuqicheng, et al.
Published: (2025)
by: Zhu, Yuqicheng, et al.
Published: (2025)
Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce
by: Han, Jiale, et al.
Published: (2024)
by: Han, Jiale, et al.
Published: (2024)
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
by: Chawla, Ronshee, et al.
Published: (2020)
by: Chawla, Ronshee, et al.
Published: (2020)
A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs
by: Kaazempur-Mofrad, Ali, et al.
Published: (2024)
by: Kaazempur-Mofrad, Ali, et al.
Published: (2024)
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression
by: Slivkins, Aleksandrs, et al.
Published: (2022)
by: Slivkins, Aleksandrs, et al.
Published: (2022)
ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis
by: Zhang, Zhanqi, et al.
Published: (2026)
by: Zhang, Zhanqi, et al.
Published: (2026)
Fairness-aware kidney exchange and kidney paired donation
by: Zhang, Mingrui, et al.
Published: (2025)
by: Zhang, Mingrui, et al.
Published: (2025)
SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
by: Zhou, Yifei, et al.
Published: (2025)
by: Zhou, Yifei, et al.
Published: (2025)
Efficient Evaluation of LLM Performance with Statistical Guarantees
by: Wu, Skyler, et al.
Published: (2026)
by: Wu, Skyler, et al.
Published: (2026)
Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning
by: Gong, Shijin, et al.
Published: (2026)
by: Gong, Shijin, et al.
Published: (2026)
Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models
by: An, Ulzee, et al.
Published: (2025)
by: An, Ulzee, et al.
Published: (2025)
Probabilistic Hash Embeddings for Online Learning of Categorical Features
by: Li, Aodong, et al.
Published: (2025)
by: Li, Aodong, et al.
Published: (2025)
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
by: Hu, Wen-Chao, et al.
Published: (2024)
by: Hu, Wen-Chao, et al.
Published: (2024)
GR-Agent: Adaptive Graph Reasoning Agent under Incomplete Knowledge
by: Zhou, Dongzhuoran, et al.
Published: (2025)
by: Zhou, Dongzhuoran, et al.
Published: (2025)
AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
by: Zhou, Hongyi, et al.
Published: (2025)
by: Zhou, Hongyi, et al.
Published: (2025)
AutoMCU: Feasibility-First MCU Neural Network Customization via LLM-based Multi-Agent Systems
by: Dai, Penglin, et al.
Published: (2026)
by: Dai, Penglin, et al.
Published: (2026)
Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions
by: Xia, Yu, et al.
Published: (2024)
by: Xia, Yu, et al.
Published: (2024)
On the Provable Performance Guarantee of Efficient Reasoning Models
by: Zeng, Hao, et al.
Published: (2025)
by: Zeng, Hao, et al.
Published: (2025)
Learning With Multi-Group Guarantees For Clusterable Subpopulations
by: Dai, Jessica, et al.
Published: (2024)
by: Dai, Jessica, et al.
Published: (2024)
Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System
by: Li, Yuantong, et al.
Published: (2024)
by: Li, Yuantong, et al.
Published: (2024)
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints
by: Li, Yuantong, et al.
Published: (2023)
by: Li, Yuantong, et al.
Published: (2023)
From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium
by: Yi, Xie, et al.
Published: (2025)
by: Yi, Xie, et al.
Published: (2025)
Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification
by: Menendez, Angel Rodrigo Avelar, et al.
Published: (2026)
by: Menendez, Angel Rodrigo Avelar, et al.
Published: (2026)
Similar Items
-
Incentivizing Truthful Language Models via Peer Elicitation Games
by: Chen, Baiting, et al.
Published: (2025) -
Prediction-Powered Conditional Inference
by: Sui, Yang, et al.
Published: (2026) -
Detecting LLM-Generated Text with Performance Guarantees
by: Zhou, Hongyi, et al.
Published: (2026) -
Common-agency Games for Multi-Objective Test-Time Alignment
by: Chen, Baiting, et al.
Published: (2026) -
Learn then Decide: A Learning Approach for Designing Data Marketplaces
by: Gao, Yingqi, et al.
Published: (2025)