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2020 – today
- 2024
[j9]Guanting Chen
, Xiaocheng Li, Yinyu Ye:
Technical Note - An Improved Analysis of LP-Based Control for Revenue Management. Oper. Res. 72(3): 1124-1138 (2024)- [c17]Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang:
When No-Rejection Learning is Consistent for Regression with Rejection. AISTATS 2024: 1126-1134 - [c16]Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang:
Learning to Make Adherence-aware Advice. ICLR 2024 - [i25]Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li:
Towards Better Statistical Understanding of Watermarking LLMs. CoRR abs/2403.13027 (2024) - [i24]Linyu Liu, Yu Pan, Xiaocheng Li, Guanting Chen:
Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach. CoRR abs/2404.15993 (2024) - [i23]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 abs/2405.14219 (2024) - [i22]Shang Liu, Zhongze Cai, Guanting Chen, Xiaocheng Li:
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification. CoRR abs/2405.15115 (2024) - 2023
- [j8]Xiaocheng Li, Chunlin Sun, Yinyu Ye:
Simple and fast algorithm for binary integer and online linear programming. Math. Program. 200(2): 831-875 (2023) - [c15]Chunlin Sun, Shang Liu, Xiaocheng Li:
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming. ICML 2023: 32886-32912 - [c14]Shang Liu, Zhongze Cai, Xiaocheng Li:
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods. NeurIPS 2023 - [c13]Chunlin Sun, Linyu Liu, Xiaocheng Li:
Predict-then-Calibrate: A New Perspective of Robust Contextual LP. NeurIPS 2023 - [i21]Chunlin Sun, Shang Liu, Xiaocheng Li:
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming. CoRR abs/2301.11260 (2023) - [i20]Shang Liu, Zhongze Cai, Xiaocheng Li:
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods. CoRR abs/2305.12283 (2023) - [i19]Shang Liu, Xiaocheng Li:
Understanding Uncertainty Sampling. CoRR abs/2307.02719 (2023) - [i18]Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang:
When No-Rejection Learning is Optimal for Regression with Rejection. CoRR abs/2307.02932 (2023) - [i17]Hanzhao Wang, Zhongze Cai, Xiaocheng Li, Kalyan T. Talluri:
A Neural Network Based Choice Model for Assortment Optimization. CoRR abs/2308.05617 (2023) - [i16]Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang:
Learning to Make Adherence-Aware Advice. CoRR abs/2310.00817 (2023) - [i15]Linyu Liu, Zhen Dai, Shiji Song, Xiaocheng Li, Guanting Chen:
Facilitating Battery Swapping Services for Freight Trucks with Spatial-Temporal Demand Prediction. CoRR abs/2310.04440 (2023) - [i14]Hanzhao Wang, Xiaocheng Li, Kalyan T. Talluri:
Transformer Choice Net: A Transformer Neural Network for Choice Prediction. CoRR abs/2310.08716 (2023) - 2022
- [j7]Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau:
Quantile Markov Decision Processes. Oper. Res. 70(3): 1428-1447 (2022) - [j6]Xiaocheng Li, Yinyu Ye:
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds. Oper. Res. 70(5): 2948-2966 (2022) - [c12]John R. Birge, Xiaocheng Li, Chunlin Sun:
Learning from Stochastically Revealed Preference. NeurIPS 2022 - [c11]Shang Liu, Jiashuo Jiang, Xiaocheng Li:
Non-stationary Bandits with Knapsacks. NeurIPS 2022 - [i13]Shang Liu, Jiashuo Jiang, Xiaocheng Li:
Non-stationary Bandits with Knapsacks. CoRR abs/2205.12427 (2022) - [i12]Hanzhao Wang, Xiaocheng Li, Kalyan T. Talluri:
Learning to Sell a Focal-ancillary Combination. CoRR abs/2207.11545 (2022) - [i11]Moqi Zhang, Weihui Deng, Xiaocheng Li:
A Unified Image Preprocessing Framework For Image Compression. CoRR abs/2208.07110 (2022) - [i10]Zhongze Cai, Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li:
Deep Learning for Choice Modeling. CoRR abs/2208.09325 (2022) - 2021
- [c10]Yian Zhang, Alex Warstadt, Xiaocheng Li, Samuel R. Bowman:
When Do You Need Billions of Words of Pretraining Data? ACL/IJCNLP (1) 2021: 1112-1125 - [c9]Fan Liu, Fangzhen Ge, Xiang Li, Longfeng Shen, Xiaocheng Li:
Double Auction-Based Dynamic Role Assignment Algorithm. CIS 2021: 202-206 - [c8]Xiaocheng Li, Chunlin Sun, Yinyu Ye:
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks. ICML 2021: 6483-6492 - [i9]Xiaocheng Li, Chunlin Sun, Yinyu Ye:
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks. CoRR abs/2102.06385 (2021) - [i8]Guanting Chen, Xiaocheng Li, Yinyu Ye:
Fairer LP-based Online Allocation. CoRR abs/2110.14621 (2021) - [i7]Shang Liu, Xiaocheng Li:
Online Bin Packing with Known T. CoRR abs/2112.03200 (2021) - [i6]Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li:
On Dynamic Pricing with Covariates. CoRR abs/2112.13254 (2021) - 2020
- [j5]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): 169-179 (2020) - [c7]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: 217-235 - [c6]Xiaocheng Li, Chunlin Sun, Yinyu Ye:
Simple and Fast Algorithm for Binary Integer and Online Linear Programming. NeurIPS 2020 - [i5]Xiaocheng Li, Chunlin Sun, Yinyu Ye:
Simple and Fast Algorithm for Binary Integer and Online Linear Programming. CoRR abs/2003.02513 (2020) - [i4]Jiashuo Jiang, Xiaocheng Li, Jiawei Zhang:
Online Stochastic Optimization with Wasserstein Based Non-stationarity. CoRR abs/2012.06961 (2020)
2010 – 2019
- 2019
- [i3]Xiaocheng Li, Yinyu Ye:
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds. CoRR abs/1909.05499 (2019) - 2018
- [c5]Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese:
Recurrent Autoregressive Networks for Online Multi-object Tracking. WACV 2018: 466-475 - [c4]Xiaocheng Li, Xiaowei Zhang, Zeyu Zheng:
Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence. WSC 2018: 1933-1944 - 2017
- [j4]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): 1484-1495 (2017) - [j3]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): 1270-1283 (2017) - [c3]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: 4559-4566 - [i2]Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau:
Quantile Markov Decision Process. CoRR abs/1711.05788 (2017) - [i1]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 abs/1711.05809 (2017) - 2016
- [j2]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: 231-239 (2016) - [c2]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: 1042-1047 - [c1]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: 63-68 - 2015
- [j1]Chenxu Li, Xiaocheng Li:
A closed-form expansion approach for pricing discretely monitored variance swaps. Oper. Res. Lett. 43(4): 450-455 (2015)
Coauthor Index
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