Xiaocheng Li

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 51

Top Topics

Uncertainty Sampling

Decision Processes

Top Venues

Publications

Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang
Learning to Make Adherence-aware Advice. ICLR (2024)
Linyu Liu, Yu Pan, Xiaocheng Li, Guanting Chen
Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach. CoRR (2024)
Guanting Chen, Xiaocheng Li, Yinyu Ye
Technical Note - An Improved Analysis of LP-Based Control for Revenue Management. Oper. Res. 72 (3) (2024)
Hanzhao Wang, Yu Pan, Fupeng Sun, Shang Liu, Kalyan T. Talluri, Guanting Chen, Xiaocheng Li
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making. CoRR (2024)
Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang
When No-Rejection Learning is Consistent for Regression with Rejection. AISTATS (2024)
Shang Liu, Zhongze Cai, Guanting Chen, Xiaocheng Li
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification. CoRR (2024)
Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li
Towards Better Statistical Understanding of Watermarking LLMs. CoRR (2024)
Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang
Learning to Make Adherence-Aware Advice. CoRR (2023)
Chunlin Sun, Linyu Liu, Xiaocheng Li
Predict-then-Calibrate: A New Perspective of Robust Contextual LP. NeurIPS (2023)
Hanzhao Wang, Xiaocheng Li, Kalyan T. Talluri
Transformer Choice Net: A Transformer Neural Network for Choice Prediction. CoRR (2023)
Hanzhao Wang, Zhongze Cai, Xiaocheng Li, Kalyan T. Talluri
A Neural Network Based Choice Model for Assortment Optimization. CoRR (2023)
Chunlin Sun, Shang Liu, Xiaocheng Li
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming. CoRR (2023)
Shang Liu, Xiaocheng Li
Understanding Uncertainty Sampling. CoRR (2023)
Chunlin Sun, Shang Liu, Xiaocheng Li
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming. ICML (2023)
Linyu Liu, Zhen Dai, Shiji Song, Xiaocheng Li, Guanting Chen
Facilitating Battery Swapping Services for Freight Trucks with Spatial-Temporal Demand Prediction. CoRR (2023)
Xiaocheng Li, Chunlin Sun, Yinyu Ye
Simple and fast algorithm for binary integer and online linear programming. Math. Program. 200 (2) (2023)
Shang Liu, Zhongze Cai, Xiaocheng Li
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods. CoRR (2023)
Shang Liu, Zhongze Cai, Xiaocheng Li
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods. NeurIPS (2023)
Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang
When No-Rejection Learning is Optimal for Regression with Rejection. CoRR (2023)
Zhongze Cai, Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li
Deep Learning for Choice Modeling. CoRR (2022)
Moqi Zhang, Weihui Deng, Xiaocheng Li
A Unified Image Preprocessing Framework For Image Compression. CoRR (2022)
Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau
Quantile Markov Decision Processes. Oper. Res. 70 (3) (2022)
Shang Liu, Jiashuo Jiang, Xiaocheng Li
Non-stationary Bandits with Knapsacks. NeurIPS (2022)
Shang Liu, Jiashuo Jiang, Xiaocheng Li
Non-stationary Bandits with Knapsacks. CoRR (2022)
Xiaocheng Li, Yinyu Ye
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds. Oper. Res. 70 (5) (2022)
John R. Birge, Xiaocheng Li, Chunlin Sun
Learning from Stochastically Revealed Preference. NeurIPS (2022)
Hanzhao Wang, Xiaocheng Li, Kalyan T. Talluri
Learning to Sell a Focal-ancillary Combination. CoRR (2022)
Yian Zhang, Alex Warstadt, Xiaocheng Li, Samuel R. Bowman
When Do You Need Billions of Words of Pretraining Data? ACL/IJCNLP (1) (2021)
Xiaocheng Li, Chunlin Sun, Yinyu Ye
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks. CoRR (2021)
Xiaocheng Li, Chunlin Sun, Yinyu Ye
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks. ICML (2021)
Fan Liu, Fangzhen Ge, Xiang Li, Longfeng Shen, Xiaocheng Li
Double Auction-Based Dynamic Role Assignment Algorithm. CIS (2021)
Guanting Chen, Xiaocheng Li, Yinyu Ye
Fairer LP-based Online Allocation. CoRR (2021)
Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li
On Dynamic Pricing with Covariates. CoRR (2021)
Shang Liu, Xiaocheng Li
Online Bin Packing with Known T. CoRR (2021)
Xiaocheng Li
Current Situation and Countermeasures of College Students' Entrepreneurship under the Background of "Internet Plus". ICIMTECH (2021)
Xiaocheng Li, Jingcheng Wang, Bin Zhang
Fault diagnosis of rolling element bearing weak fault based on sparse decomposition and broad learning network. Trans. Inst. Meas. Control 42 (2) (2020)
Xiaocheng Li, Chunlin Sun, Yinyu Ye
Simple and Fast Algorithm for Binary Integer and Online Linear Programming. NeurIPS (2020)
Jiashuo Jiang, Xiaocheng Li, Jiawei Zhang
Online Stochastic Optimization with Wasserstein Based Non-stationarity. CoRR (2020)
Xiaocheng Li, Chunlin Sun, Yinyu Ye
Simple and Fast Algorithm for Binary Integer and Online Linear Programming. CoRR (2020)
Alex Warstadt, Yian Zhang, Xiaocheng Li, Haokun Liu, Samuel R. Bowman
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). EMNLP (1) (2020)
Xiaocheng Li, Yinyu Ye
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds. CoRR (2019)
Xiaocheng Li, Xiaowei Zhang, Zeyu Zheng
Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence. WSC (2018)
Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese
Recurrent Autoregressive Networks for Online Multi-object Tracking. WACV (2018)
Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau
Quantile Markov Decision Process. CoRR (2017)
Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. AAAI (2017)
Bohui Wang, Jingcheng Wang, Langwen Zhang, Bin Zhang, Xiaocheng Li
Cooperative Control of Heterogeneous Uncertain Dynamical Networks: An Adaptive Explicit Synchronization Framework. IEEE Trans. Cybern. 47 (6) (2017)
Bohui Wang, Jingcheng Wang, Bin Zhang, Xiaocheng Li
Global Cooperative Control Framework for Multiagent Systems Subject to Actuator Saturation With Industrial Applications. IEEE Trans. Syst. Man Cybern. Syst. 47 (7) (2017)
Huaiyang Zhong, Xiaocheng Li, David B. Lobell, Stefano Ermon, Margaret L. Brandeau
Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans. CoRR (2017)
Bohui Wang, Yingguan Wang, Bin Zhang, Fengrong Li, Jingcheng Wang, Hai Lin, Xiaocheng Li
Explicit adaptive synchronization of multi-agent uncertain systems with heterogeneous dynamic networks. ACC (2016)
Bohui Wang, Jingcheng Wang, Bin Zhang, Hai Lin, Xiaocheng Li, Hongyuan Wang
Leader-follower consensus for multi-agent systems with three-layer network framework and dynamic interaction jointly connected topology. Neurocomputing 207 (2016)
Bohui Wang, Jingcheng Wang, Huifeng Zhu, Bin Zhang, Xiaocheng Li, Xiaofeng Wang, Leijie Dai, Ruiqing Wang
Dynamic fault tolerant control for multi-agent uncertain system with intermittent sampling. CDC (2016)
Chenxu Li, Xiaocheng Li
A closed-form expansion approach for pricing discretely monitored variance swaps. Oper. Res. Lett. 43 (4) (2015)