Li, Xiaocheng

16 publications

ICLRW 2025 Beyond ID Bias: PCA-Guided Dropout for Robust Fine-Tuning Bo Fei, Xiaocheng Li, ZhangZhiqi, Youchen Qing, Yancong Deng
UAI 2025 Collaborative Prediction: To Join or to Disjoin Datasets Kyung Rok Kim, Yansong Wang, Xiaocheng Li, Guanting Chen
UAI 2025 Out-of-Distribution Robust Optimization Zhongze Cai, Hansheng Jiang, Xiaocheng Li
ICML 2025 Reward Modeling with Ordinal Feedback: Wisdom of the Crowd Shang Liu, Yu Pan, Guanting Chen, Xiaocheng Li
TMLR 2025 Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification Shang Liu, Zhongze Cai, Guanting Chen, Xiaocheng Li
ICLR 2024 Learning to Make Adherence-Aware Advice Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang
AISTATS 2024 When No-Rejection Learning Is Consistent for Regression with Rejection Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang
NeurIPS 2023 Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods Shang Liu, Zhongze Cai, Xiaocheng Li
ICML 2023 Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming Chunlin Sun, Shang Liu, Xiaocheng Li
NeurIPS 2023 Predict-Then-Calibrate: A New Perspective of Robust Contextual LP Chunlin Sun, Linyu Liu, Xiaocheng Li
NeurIPS 2022 Learning from Stochastically Revealed Preference John Birge, Xiaocheng Li, Chunlin Sun
NeurIPS 2022 Non-Stationary Bandits with Knapsacks Shang Liu, Jiashuo Jiang, Xiaocheng Li
ICML 2021 The Symmetry Between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks Xiaocheng Li, Chunlin Sun, Yinyu Ye
NeurIPS 2020 Simple and Fast Algorithm for Binary Integer and Online Linear Programming Xiaocheng Li, Chunlin Sun, Yinyu Ye
WACV 2018 Recurrent Autoregressive Networks for Online Multi-Object Tracking Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese
AAAI 2017 Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon