Yining Wang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 62

Top Topics

Dynamic Pricing

Inventory Control

Regret Minimization

Subset Selection

Top Venues

Publications

Xi Chen, Akshay Krishnamurthy, Yining Wang
Robust Dynamic Assortment Optimization in the Presence of Outlier Customers. Oper. Res. 72 (3) (2024)
Boxiao Chen, Yining Wang, Yuan Zhou
Optimal Policies for Dynamic Pricing and Inventory Control with Nonparametric Censored Demands. Manag. Sci. 70 (5) (2024)
Yingkai Li, Yining Wang, Yuan Zhou
Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits. IEEE Trans. Inf. Theory 70 (1) (2024)
Xi Chen, Quanquan Liu, Yining Wang
Active Learning for Contextual Search with Binary Feedback. Manag. Sci. 69 (4) (2023)
Xi Chen, Yining Wang
Robust Dynamic Pricing with Demand Learning in the Presence of Outlier Customers. Oper. Res. 71 (4) (2023)
Xi Chen, David Simchi-Levi, Yining Wang
Utility Fairness in Contextual Dynamic Pricing with Demand Learning. CoRR (2023)
Xi Chen, Sentao Miao, Yining Wang
Differential Privacy in Personalized Pricing with Nonparametric Demand Models. Oper. Res. 71 (2) (2023)
Yining Wang, He Wang
Constant Regret Resolving Heuristics for Price-Based Revenue Management. Oper. Res. 70 (6) (2022)
Boxiao Chen, David Simchi-Levi, Yining Wang, Yuan Zhou
Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information. Manag. Sci. 68 (8) (2022)
Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang
Near-optimal discrete optimization for experimental design: a regret minimization approach. Math. Program. 186 (1) (2021)
Yining Wang, Yi Wu, Simon S. Du
Near-Linear Time Local Polynomial Nonparametric Estimation with Box Kernels. INFORMS J. Comput. 33 (4) (2021)
Yining Wang, Boxiao Chen, David Simchi-Levi
Multimodal Dynamic Pricing. Manag. Sci. 67 (10) (2021)
Yusha Liu, Yining Wang, Aarti Singh
Smooth Bandit Optimization: Generalization to Holder Space. AISTATS (2021)
Yining Wang, Ruosong Wang, Simon Shaolei Du, Akshay Krishnamurthy
Optimism in Reinforcement Learning with Generalized Linear Function Approximation. ICLR (2021)
Boxiao Chen, Xiuli Chao, Yining Wang
Technical Note - Data-Based Dynamic Pricing and Inventory Control with Censored Demand and Limited Price Changes. Oper. Res. 68 (5) (2020)
Yusha Liu, Yining Wang, Aarti Singh
Smooth Bandit Optimization: Generalization to Hölder Space. CoRR (2020)
Xi Chen, Yining Wang
Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing. CoRR (2020)
Xi Chen, Yining Wang, Yuan Zhou
Dynamic Assortment Optimization with Changing Contextual Information. J. Mach. Learn. Res. 21 (2020)
Yining Wang, Sivaraman Balakrishnan, Aarti Singh
Optimization of Smooth Functions With Noisy Observations: Local Minimax Rates. IEEE Trans. Inf. Theory 65 (11) (2019)
Yining Wang, Ruosong Wang, Simon S. Du, Akshay Krishnamurthy
Optimism in Reinforcement Learning with Generalized Linear Function Approximation. CoRR (2019)
Xi Chen, Yining Wang, Yu-Xiang Wang
-Variation Measures. Oper. Res. 67 (6) (2019)
Xi Chen, Akshay Krishnamurthy, Yining Wang
Robust Dynamic Assortment Optimization in the Presence of Outlier Customers. CoRR (2019)
Yining Wang, Jialei Wang, Sivaraman Balakrishnan, Aarti Singh
Rate optimal estimation and confidence intervals for high-dimensional regression with missing covariates. J. Multivar. Anal. 174 (2019)
Yining Wang, Yu-Xiang Wang, Aarti Singh
A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data. IEEE Trans. Inf. Theory 65 (2) (2019)
Yining Wang, Xi Chen, Yuan Zhou
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models. CoRR (2018)
Yining Wang, Erva Ulu, Aarti Singh, Levent Burak Kara
Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty. CoRR (2018)
Simon S. Du, Yining Wang, Sivaraman Balakrishnan, Pradeep Ravikumar, Aarti Singh
Robust Nonparametric Regression under Huber's ε-contamination Model. CoRR (2018)
Xi Chen, Yining Wang, Yuan Zhou
Dynamic Assortment Selection under the Nested Logit Models. CoRR (2018)
Yining Wang, Aarti Singh
Linear Quantization by Effective-Resistance Sampling. ICASSP (2018)
Xi Chen, Yining Wang
A note on a tight lower bound for capacitated MNL-bandit assortment selection models. Oper. Res. Lett. 46 (5) (2018)
Xi Chen, Yining Wang, Yuan Zhou
Dynamic Assortment Optimization with Changing Contextual Information. CoRR (2018)
Simon S. Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh
How Many Samples are Needed to Estimate a Convolutional Neural Network? NeurIPS (2018)
Yining Wang, Sivaraman Balakrishnan, Aarti Singh
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates. CoRR (2018)
Yining Wang, Xi Chen, Yuan Zhou
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models. NeurIPS (2018)
Simon S. Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh
How Many Samples are Needed to Learn a Convolutional Neural Network? CoRR (2018)
Yining Wang, Simon S. Du, Sivaraman Balakrishnan, Aarti Singh
Stochastic Zeroth-order Optimization in High Dimensions. AISTATS (2018)
Yining Wang, Sivaraman Balakrishnan, Aarti Singh
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates. NeurIPS (2018)
Yining Wang, Yi Wu, Simon S. Du
Near-Linear Time Local Polynomial Nonparametric Estimation. CoRR (2018)
Simon S. Du, Yining Wang, Aarti Singh
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems. CoRR (2017)
Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang
Near-Optimal Design of Experiments via Regret Minimization. ICML (2017)
Yining Wang, Simon S. Du, Sivaraman Balakrishnan, Aarti Singh
Stochastic Zeroth-order Optimization in High Dimensions. CoRR (2017)
Yining Wang, Aarti Singh
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data. J. Mach. Learn. Res. 18 (2017)
Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang
Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach. CoRR (2017)
Simon S. Du, Yining Wang, Aarti Singh
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems. NIPS (2017)
Yining Wang, Jialei Wang, Sivaraman Balakrishnan, Aarti Singh
Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing Covariates. CoRR (2017)
Yining Wang, Adams Wei Yu, Aarti Singh
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models. J. Mach. Learn. Res. 18 (2017)
Xi Chen, Yining Wang
A Note on Tight Lower Bound for MNL-Bandit Assortment Selection Models. CoRR (2017)
Xi Chen, Yining Wang, Yu-Xiang Wang
Non-stationary Stochastic Optimization with Local Spatial and Temporal Changes. CoRR (2017)
Yining Wang, Aarti Singh
Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition. AAAI (2016)
Maria-Florina Balcan, Simon S. Du, Yining Wang, Adams Wei Yu
An Improved Gap-Dependency Analysis of the Noisy Power Method. CoRR (2016)
Maria-Florina Balcan, Simon Shaolei Du, Yining Wang, Adams Wei Yu
An Improved Gap-Dependency Analysis of the Noisy Power Method. COLT (2016)
Yining Wang, Aarti Singh
Minimax Subsampling for Estimation and Prediction in Low-Dimensional Linear Regression. CoRR (2016)
Bo Li, Yining Wang, Aarti Singh, Yevgeniy Vorobeychik
Data Poisoning Attacks on Factorization-Based Collaborative Filtering. CoRR (2016)
Bo Li, Yining Wang, Aarti Singh, Yevgeniy Vorobeychik
Data Poisoning Attacks on Factorization-Based Collaborative Filtering. NIPS (2016)
Yining Wang, Yu-Xiang Wang, Aarti Singh
Graph Connectivity in Noisy Sparse Subspace Clustering. AISTATS (2016)
Yining Wang, Yu-Xiang Wang, Aarti Singh
A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data. CoRR (2016)
Yining Wang, Aarti Singh
Provably Correct Active Sampling Algorithms for Matrix Column Subset Selection with Missing Data. CoRR (2015)
Yining Wang, Aarti Singh
Column Subset Selection with Missing Data via Active Sampling. AISTATS (2015)
Yining Wang, Yu-Xiang Wang, Aarti Singh
Clustering Consistent Sparse Subspace Clustering. CoRR (2015)
Yining Wang, Yu-Xiang Wang, Aarti Singh
Differentially private subspace clustering. NIPS (2015)
Yining Wang, Yu-Xiang Wang, Aarti Singh
A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data. ICML (2015)
Yining Wang, Aarti Singh
An empirical comparison of sampling techniques for matrix column subset selection. Allerton (2015)
Yining Wang, Aarti Singh
Noise-adaptive Margin-based Active Learning for Multi-dimensional Data. CoRR (2014)
Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu
A Theoretical Analysis of NDCG Type Ranking Measures. COLT (2013)
Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu, Wei Chen
A Theoretical Analysis of NDCG Type Ranking Measures CoRR (2013)