:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Kyung Rok, Wang, Yansong, Li, Xiaocheng, Chen, Guanting
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2506.11271
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding the Impact of Sampling Quality in Direct Preference Optimization
by: Kim, Kyung Rok, et al.
Published: (2025)

Risk Profiling and Modulation for LLMs
by: Wang, Yikai, et al.
Published: (2025)

Calibrating conditional risk
by: Vasilyev, Andrey, et al.
Published: (2026)

Learning to Make Adherence-Aware Advice
by: Chen, Guanting, et al.
Published: (2023)

OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making
by: Wang, Hanzhao, et al.
Published: (2025)

Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
by: Liu, Shang, et al.
Published: (2024)

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
by: Liu, Shang, et al.
Published: (2024)

Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
by: Liu, Linyu, et al.
Published: (2024)

Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making
by: Wang, Hanzhao, et al.
Published: (2024)

In-Context Curiosity: Distilling Exploration for Decision-Pretrained Transformers on Bandit Tasks
by: Yang, Huitao, et al.
Published: (2025)

Understanding Uncertainty Sampling via Equivalent Loss
by: Liu, Shang, et al.
Published: (2023)

DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks
by: Park, Seonhye, et al.
Published: (2022)

Exploration-free Algorithms for Multi-group Mean Estimation
by: Wei, Ziyi, et al.
Published: (2025)

Next-Generation Reservoir Computing for Dynamical Inference
by: Cestnik, Rok, et al.
Published: (2025)

Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
by: Kim, So Yeon, et al.
Published: (2024)

When No-Rejection Learning is Consistent for Regression with Rejection
by: Li, Xiaocheng, et al.
Published: (2023)

Gradient-Based Join Ordering
by: Schwabe, Tim, et al.
Published: (2025)

CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems
by: Park, Jin-Duk, et al.
Published: (2024)

What Matters in Data for DPO?
by: Pan, Yu, et al.
Published: (2025)

Sketched Sum-Product Networks for Joins
by: Tsan, Brian, et al.
Published: (2025)

Implementing Semantic Join Operators Efficiently
by: Trummer, Immanuel
Published: (2025)

Improving the stability of the covariance-controlled adaptive Langevin thermostat for large-scale Bayesian sampling
by: Wei, Jiani, et al.
Published: (2025)

Analyzing Fairness of Neural Network Prediction via Counterfactual Dataset Generation
by: Kim, Brian Hyeongseok, et al.
Published: (2026)

Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
by: Lee, Kyung-hwan, et al.
Published: (2025)

A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
by: Park, Young-Jin, et al.
Published: (2024)

Distillation of Discrete Diffusion by Exact Conditional Distribution Matching
by: Gao, Yansong, et al.
Published: (2025)

An Information-Geometric Distance on the Space of Tasks
by: Gao, Yansong, et al.
Published: (2020)

Optimizing Context-Enhanced Relational Joins
by: Sanca, Viktor, et al.
Published: (2023)

Attn-JGNN: Attention Enhanced Join-Graph Neural Networks
by: Zhang, Jixin
Published: (2025)

Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces
by: Hashemi, Vahid, et al.
Published: (2024)

Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing
by: Yang, Run, et al.
Published: (2025)

Graph Structure Based Data Augmentation Method
by: Kim, Kyung Geun, et al.
Published: (2022)

Intellectual Property Protection for Deep Learning Model and Dataset Intelligence
by: Jiang, Yongqi, et al.
Published: (2024)

A Collaborative Ensemble Framework for CTR Prediction
by: Liu, Xiaolong, et al.
Published: (2024)

Collaborative Learning-Enhanced Lightweight Models for Predicting Arterial Blood Pressure Waveform in a Large-scale Perioperative Dataset
by: Li, Wentao, et al.
Published: (2025)

Frictional Q-Learning
by: Kim, Hyunwoo, et al.
Published: (2025)

How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators
by: Liu, Shang, et al.
Published: (2025)

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning
by: Li, Chengpeng, et al.
Published: (2024)

Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
by: Lee, Kyung-hwan, et al.
Published: (2024)

Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation
by: Kim, Woo Kyung, et al.
Published: (2024)