Kangning Wang

发表

K-Memory Strategies in Repeated Games ( Extended Abstract )

Fangzhen Lin, Lijie Chen, Ruosong Wang, 2017 .

Statistica Sinica Supplement : Proofs

Lixing Zhu, Lu Lin, Feng Li, 2018 .

Variable selection for spatial semivarying coefficient models

Kangning Wang, 2018 .

A generalized semiparametric regression and its efficient estimation

Lu Lin, Kangning Wang, Lili Liu, 2020, Scandinavian Journal of Statistics.

k-Regret Minimizing Set : Hardness and Efficient Algorithms

R. C. Wong, J. Li, Wei Cao, 2016 .

Efficient parameter estimation and variable selection in partial linear varying coefficient quantile regression model with longitudinal data

Kangning Wang, Xiaofei Sun, 2020 .

Robust structure identification and variable selection in partial linear varying coefficient models

Kangning Wang, Lu Lin, 2016 .

Robust direction identification and variable selection in high dimensional general single-index models

Kangning Wang, 2015 .

New efficient estimation and variable selection in models with single-index structure

Kangning Wang, Lu Lin, 2014 .

Gaussian copula based composite quantile regression in semivarying models with longitudinal data

Kangning Wang, Xiaofei Sun, Hao Jin, 2020, Communications in Statistics - Theory and Methods.

Simultaneous structure estimation and variable selection in partial linear varying coefficient models for longitudinal data

Lu Lin, Kangning Wang, 2015 .

Robust and efficient estimator for simultaneous model structure identification and variable selection in generalized partial linear varying coefficient models with longitudinal data

Lu Lin, Kangning Wang, 2019 .

Copula and composite quantile regression-based estimating equations for longitudinal data

Kangning Wang, W. Shan, 2020 .

Robust and efficient estimating equations for longitudinal data partial linear models and its applications

Kangning Wang, Xiaofei Sun, Mengjie Hao, 2020, Statistical Papers.

Prior-Independent Auctions for Heterogeneous Bidders

Aranyak Mehta, Guru Guruganesh, Kangning Wang, 2022, ArXiv.

Variable Selection for Varying Coefficient Models Via Kernel Based Regularized Rank Regression

Lu Lin, Kangning Wang, 2020, Acta Mathematicae Applicatae Sinica, English Series.

Walsh-average based variable selection for varying coefficient models

Kangning Wang, Lu Lin, 2015 .

Regret Minimization with Noisy Observations

Mohammad Mahdian, Jieming Mao, Kangning Wang, 2022, ArXiv.

Auditing for Core Stability in Participatory Budgeting

K. Munagala, Kangning Wang, Yiheng Shen, 2022, WINE.

Robust estimation for nonrandomly distributed data

Yong Xu, Kangning Wang, Shaomin Li, 2022, Annals of the Institute of Statistical Mathematics.

Robust and efficient estimating equations for longitudinal data partial linear models and its applications

Kangning Wang, Xiaofei Sun, Mengjie Hao, 2020, Statistical Papers.

Variable Selection for Varying Coefficient Models Via Kernel Based Regularized Rank Regression

Kangning Wang, Lu Lin, 2020, Acta Mathematicae Applicatae Sinica, English Series.

Smooth quantile regression and distributed inference for non-randomly stored big data

Fayadh S. Alenezi, K. Polat, Kangning Wang, 2022, Expert systems with applications.

Robust and efficient estimator for simultaneous model structure identification and variable selection in generalized partial linear varying coefficient models with longitudinal data

Kangning Wang, Lu Lin, 2017, Statistical Papers.

Efficient parameter estimation and variable selection in partial linear varying coefficient quantile regression model with longitudinal data

Kangning Wang, Xiaofei Sun, 2017, Statistical Papers.

Robust and efficient direction identification for groupwise additive multiple-index models and its applications

Kangning Wang, Lu Lin, 2016, TEST.

Variable selection for spatial semivarying coefficient models

Kangning Wang, 2016, Annals of the Institute of Statistical Mathematics.

Variable Selection in Semiparametric Quantile Modeling for Longitudinal Data

Kangning Wang, Lu Lin, Lu Lin, 2015 .

Variable selection in robust semiparametric modeling for longitudinal data

Kangning Wang, Lu Lin, Kangning Wang, 2014 .

Robust communication-efficient distributed composite quantile regression and variable selection for massive data

Kangning Wang, Shaomin Li, Benle Zhang, 2021, Comput. Stat. Data Anal..

Statistica Sinica COMPOSITE ESTIMATION : AN ASYMPTOTICALLY WEIGHTED LEAST SQUARES APPROACH

Lixing Zhu, Lu Lin, Feng Li, 2017 .

Renewable quantile regression for streaming datasets

Shaomin Li, Kangning Wang, Hongwei Wang, 2021, Knowl. Based Syst..

Robust distributed modal regression for massive data

Kangning Wang, Shaomin Li, Kangning Wang, 2021, Comput. Stat. Data Anal..

K-Memory Strategies in Repeated Games

Ruosong Wang, Fangzhen Lin, Shiheng Wang, 2017, AAMAS.

Breaking the Metric Voting Distortion Barrier

M. Charikar, Kangning Wang, Prasanna Ramakrishnan, 2023, ArXiv.

Improved Metric Distortion for Deterministic Social Choice Rules

Kamesh Munagala, Kangning Wang, Kangning Wang, 2019, EC.

Predict and Match: Prophet Inequalities with Uncertain Supply

Kamesh Munagala, Sreenivas Gollapudi, Kangning Wang, 2020, Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems.

Composite Estimation: An Asymptotically Weighted Least Squares Approach

Lixing Zhu, Feng Li, Kangning Wang, 2019, Statistica Sinica.

Statistica Sinica Preprint No : SS-2016-0399 Title Composite Estimation : An Asymptotically Weighted Least Squares Approach

Lixing Zhu, Lu Lin, Feng Li, 2018 .

Fair for All: Best-effort Fairness Guarantees for Classification

Yu Cheng, A. Krishnaswamy, Kangning Wang, 2020, AISTATS.

Approximately efficient bilateral trade pdf

Balasubramanian Sivan, Yuan Deng, Kangning Wang, 2021, STOC.

Predict and Match: Prophet Inequalities with Uncertain Supply

Kamesh Munagala, Sreenivas Gollapudi, Kangning Wang, 2020, Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems.

Unified distributed robust regression and variable selection framework for massive data

Kangning Wang, Kangning Wang, 2021, Expert Syst. Appl..

Asymptotic Composite Estimation

Lixing Zhu, Lu Lin, Feng Li, 2013, 1312.7525.

Approximate Core for Committee Selection via Multilinear Extension and Market Clearing pdf

Kamesh Munagala, Kangning Wang, Yiheng Shen, 2021, SODA.

Optimal Algorithms for Multiwinner Elections and the Chamberlin-Courant Rule

Kamesh Munagala, Kangning Wang, Zeyu Shen, 2021, EC.

Approximately stable committee selection

Kangning Wang, Kamesh Munagala, Zhihao Jiang, 2019, STOC.

Group Fairness in Committee Selection

Kamesh Munagala, Kangning Wang, Yu Cheng, 2019, EC.

Group Fairness in Committee Selection

Zhihao Jiang, Kamesh Munagala, Kangning Wang, 2020, ACM Trans. Economics and Comput..

Communication-efficient surrogate quantile regression for non-randomly distributed system

Fayadh S. Alenezi, Shaomin Li, Kangning Wang, 2021, Inf. Sci..

Fair Price Discrimination

Kangning Wang, Siddhartha Banerjee, Yiheng Shen, 2023, ArXiv.

Interactive Communication in Bilateral Trade

Renato Paes Leme, Kangning Wang, Jieming Mao, 2021, ITCS.

The Limits of an Information Intermediary in Auction Design

Kangning Wang, Reza Alijani, Siddhartha Banerjee, 2020, EC.

Optimal Pricing Schemes for an Impatient Buyer

Balasubramanian Sivan, Jieming Mao, Yuan Deng, 2021, SODA.

A Simple Mechanism for a Budget-Constrained Buyer

Yu Cheng, Kamesh Munagala, Nick Gravin, 2018, WINE.

Robust and efficient direction identification for groupwise additive multiple-index models and its applications

Lu Lin, Kangning Wang, 2017 .

Robust distributed estimation and variable selection for massive datasets via rank regression

Benle Zhang, Kangning Wang, Jiaming Luan, 2021, Annals of the Institute of Statistical Mathematics.

Robust adaptive model selection and estimation for partial linear varying coefficient models in rank regression

Lu Lin, Kangning Wang, Xiaofei Sun, 2018 .