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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