Yining Wang - RankMe

90 papers A* 13A 5Misc 1Journal 65Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Primal-Dual Approach Toward Resource-Constrained Revenue Management with Demand Learning and Large Action Space. Oper. Res. Sentao Miao, Yining Wang, Jiawei Zhang
2026	J	`jnl`	Utility Fairness in Contextual Dynamic Pricing with Demand Learning. Manag. Sci. Xi Chen, David Simchi-Levi, Yining Wang
2025	J	`jnl`	Dynamic Pricing with Fairness Constraints. Oper. Res. Maxime C. Cohen, Sentao Miao, Yining Wang
2025	J	`jnl`	Estimation of High-Dimensional Contextual Pricing Models with Nonparametric Price Confounders. Oper. Res. Yining Wang, Quanquan Liu
2025	J	`jnl`	Technical Note - On Adaptivity in Nonstationary Stochastic Optimization with Bandit Feedback. Oper. Res. Yining Wang
2024	J	`jnl`	Demand Balancing in Primal-Dual Optimization for Blind Network Revenue Management. CoRR Sentao Miao, Yining Wang
2024	J	`jnl`	Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits. IEEE Trans. Inf. Theory Yingkai Li, Yining Wang, Yuan Zhou
2024	J	`jnl`	On the Optimal Regret of Locally Private Linear Contextual Bandit. CoRR Jiachun Li, David Simchi-Levi, Yining Wang
2024	J	`jnl`	Optimal Policies for Dynamic Pricing and Inventory Control with Nonparametric Censored Demands. Manag. Sci. Boxiao Chen, Yining Wang, Yuan Zhou
2024	J	`jnl`	Pricing and Positioning of Horizontally Differentiated Products with Incomplete Demand Information. Oper. Res. Arnoud V. den Boer, Boxiao Chen, Yining Wang
2024	J	`jnl`	Robust Dynamic Assortment Optimization in the Presence of Outlier Customers. Oper. Res. Xi Chen, Akshay Krishnamurthy, Yining Wang
2023	J	`jnl`	Active Learning for Contextual Search with Binary Feedback. Manag. Sci. Xi Chen, Quanquan Liu, Yining Wang
2023	J	`jnl`	Differential Privacy in Personalized Pricing with Nonparametric Demand Models. Oper. Res. Xi Chen, Sentao Miao, Yining Wang
2023	J	`jnl`	Robust Dynamic Pricing with Demand Learning in the Presence of Outlier Customers. Oper. Res. Xi Chen, Yining Wang
2023	J	`jnl`	Utility Fairness in Contextual Dynamic Pricing with Demand Learning. CoRR Xi Chen, David Simchi-Levi, Yining Wang
2022	J	`jnl`	Constant Regret Resolving Heuristics for Price-Based Revenue Management. Oper. Res. Yining Wang, He Wang
2022	J	`jnl`	Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information. Manag. Sci. Boxiao Chen, David Simchi-Levi, Yining Wang, Yuan Zhou
2022	J	`jnl`	Fairness-aware Network Revenue Management with Demand Learning. CoRR Xi Chen, Jiameng Lyu, Yining Wang, Yuan Zhou
2022	J	`jnl`	Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. Manag. Sci. Xi Chen, David Simchi-Levi, Yining Wang
2021	J	`jnl`	Differential Privacy in Personalized Pricing with Nonparametric Demand Models. CoRR Xi Chen, Sentao Miao, Yining Wang
2021	J	`jnl`	Multimodal Dynamic Pricing. Manag. Sci. Yining Wang, Boxiao Chen, David Simchi-Levi
2021	J	`jnl`	Near-Linear Time Local Polynomial Nonparametric Estimation with Box Kernels. INFORMS J. Comput. Yining Wang, Yi Wu, Simon S. Du
2021	J	`jnl`	Near-optimal discrete optimization for experimental design: a regret minimization approach. Math. Program. Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang
2021	J	`jnl`	Optimal Policy for Dynamic Assortment Planning Under Multinomial Logit Models. Math. Oper. Res. Xi Chen, Yining Wang, Yuan Zhou
2021	A*	`conf`	Optimism in Reinforcement Learning with Generalized Linear Function Approximation. ICLR Yining Wang, Ruosong Wang, Simon Shaolei Du, Akshay Krishnamurthy
2021	A	`conf`	Smooth Bandit Optimization: Generalization to Holder Space. AISTATS Yusha Liu, Yining Wang, Aarti Singh
2021	A	`conf`	Tight Regret Bounds for Infinite-armed Linear Contextual Bandits. AISTATS Yingkai Li, Yining Wang, Xi Chen, Yuan Zhou
2020	J	`jnl`	Dynamic Assortment Optimization with Changing Contextual Information. J. Mach. Learn. Res. Xi Chen, Yining Wang, Yuan Zhou
2020	J	`jnl`	Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. CoRR Xi Chen, David Simchi-Levi, Yining Wang
2020	A*	`conf`	Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. COLT Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
2020	J	`jnl`	Smooth Bandit Optimization: Generalization to Hölder Space. CoRR Yusha Liu, Yining Wang, Aarti Singh
2020	J	`jnl`	Technical Note - Data-Based Dynamic Pricing and Inventory Control with Censored Demand and Limited Price Changes. Oper. Res. Boxiao Chen, Xiuli Chao, Yining Wang
2020	J	`jnl`	Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing. CoRR Xi Chen, Yining Wang
2019	J	`jnl`	A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data. IEEE Trans. Inf. Theory Yining Wang, Yu-Xiang Wang, Aarti Singh
2019	A*	`conf`	Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits. COLT Yingkai Li, Yining Wang, Yuan Zhou
2019	J	`jnl`	Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits. CoRR Yingkai Li, Yining Wang, Yuan Zhou
2019	J	`jnl`	Optimism in Reinforcement Learning with Generalized Linear Function Approximation. CoRR Yining Wang, Ruosong Wang, Simon S. Du, Akshay Krishnamurthy
2019	J	`jnl`	Optimization of Smooth Functions With Noisy Observations: Local Minimax Rates. IEEE Trans. Inf. Theory Yining Wang, Sivaraman Balakrishnan, Aarti Singh
2019	J	`jnl`	Rate optimal estimation and confidence intervals for high-dimensional regression with missing covariates. J. Multivar. Anal. Yining Wang, Jialei Wang, Sivaraman Balakrishnan, Aarti Singh
2019	J	`jnl`	Robust Dynamic Assortment Optimization in the Presence of Outlier Customers. CoRR Xi Chen, Akshay Krishnamurthy, Yining Wang
2019	—	`—`	Selective Data Acquisition in Learning and Decision Making Problems. Yining Wang
2019	J	`jnl`	Technical Note - Nonstationary Stochastic Optimization Under Oper. Res. Xi Chen, Yining Wang, Yu-Xiang Wang
2019	J	`jnl`	Tight Regret Bounds for Infinite-armed Linear Contextual Bandits. CoRR Yingkai Li, Yining Wang, Yuan Zhou
2019	J	`jnl`	√n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. CoRR Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
2018	J	`jnl`	A note on a tight lower bound for capacitated MNL-bandit assortment selection models. Oper. Res. Lett. Xi Chen, Yining Wang
2018	J	`jnl`	Dynamic Assortment Optimization with Changing Contextual Information. CoRR Xi Chen, Yining Wang, Yuan Zhou
2018	J	`jnl`	Dynamic Assortment Selection under the Nested Logit Models. CoRR Xi Chen, Yining Wang, Yuan Zhou
2018	J	`jnl`	Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty. CoRR Yining Wang, Erva Ulu, Aarti Singh, Levent Burak Kara
2018	A*	`conf`	How Many Samples are Needed to Estimate a Convolutional Neural Network? NeurIPS Simon S. Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh
2018	J	`jnl`	How Many Samples are Needed to Learn a Convolutional Neural Network? CoRR Simon S. Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh
2018	Misc	`conf`	Linear Quantization by Effective-Resistance Sampling. ICASSP Yining Wang, Aarti Singh
2018	J	`jnl`	Near-Linear Time Local Polynomial Nonparametric Estimation. CoRR Yining Wang, Yi Wu, Simon S. Du
2018	A*	`conf`	Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models. NeurIPS Yining Wang, Xi Chen, Yuan Zhou
2018	J	`jnl`	Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models. CoRR Yining Wang, Xi Chen, Yuan Zhou
2018	A*	`conf`	Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates. NeurIPS Yining Wang, Sivaraman Balakrishnan, Aarti Singh
2018	J	`jnl`	Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates. CoRR Yining Wang, Sivaraman Balakrishnan, Aarti Singh
2018	J	`jnl`	Robust Nonparametric Regression under Huber's ε-contamination Model. CoRR Simon S. Du, Yining Wang, Sivaraman Balakrishnan, Pradeep Ravikumar, Aarti Singh
2018	J	`jnl`	Spectral Learning for Supervised Topic Models. IEEE Trans. Pattern Anal. Mach. Intell. Yong Ren, Yining Wang, Jun Zhu
2018	A	`conf`	Stochastic Zeroth-order Optimization in High Dimensions. AISTATS Yining Wang, Simon S. Du, Sivaraman Balakrishnan, Aarti Singh
2017	J	`jnl`	A Note on Tight Lower Bound for MNL-Bandit Assortment Selection Models. CoRR Xi Chen, Yining Wang
2017	A*	`conf`	Near-Optimal Design of Experiments via Regret Minimization. ICML Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang
2017	J	`jnl`	Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach. CoRR Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang
2017	J	`jnl`	Non-stationary Stochastic Optimization with Local Spatial and Temporal Changes. CoRR Xi Chen, Yining Wang, Yu-Xiang Wang
2017	J	`jnl`	On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models. J. Mach. Learn. Res. Yining Wang, Adams Wei Yu, Aarti Singh
2017	—	`conf`	On the Power of Truncated SVD for General High-rank Matrix Estimation Problems. NIPS Simon S. Du, Yining Wang, Aarti Singh
2017	J	`jnl`	On the Power of Truncated SVD for General High-rank Matrix Estimation Problems. CoRR Simon S. Du, Yining Wang, Aarti Singh
2017	J	`jnl`	Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data. J. Mach. Learn. Res. Yining Wang, Aarti Singh
2017	J	`jnl`	Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing Covariates. CoRR Yining Wang, Jialei Wang, Sivaraman Balakrishnan, Aarti Singh
2017	J	`jnl`	Stochastic Zeroth-order Optimization in High Dimensions. CoRR Yining Wang, Simon S. Du, Sivaraman Balakrishnan, Aarti Singh
2016	J	`jnl`	A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data. CoRR Yining Wang, Yu-Xiang Wang, Aarti Singh
2016	A*	`conf`	An Improved Gap-Dependency Analysis of the Noisy Power Method. COLT Maria-Florina Balcan, Simon Shaolei Du, Yining Wang, Adams Wei Yu
2016	J	`jnl`	An Improved Gap-Dependency Analysis of the Noisy Power Method. CoRR Maria-Florina Balcan, Simon S. Du, Yining Wang, Adams Wei Yu
2016	—	`conf`	Data Poisoning Attacks on Factorization-Based Collaborative Filtering. NIPS Bo Li, Yining Wang, Aarti Singh, Yevgeniy Vorobeychik
2016	J	`jnl`	Data Poisoning Attacks on Factorization-Based Collaborative Filtering. CoRR Bo Li, Yining Wang, Aarti Singh, Yevgeniy Vorobeychik
2016	A	`conf`	Graph Connectivity in Noisy Sparse Subspace Clustering. AISTATS Yining Wang, Yu-Xiang Wang, Aarti Singh
2016	J	`jnl`	Minimax Subsampling for Estimation and Prediction in Low-Dimensional Linear Regression. CoRR Yining Wang, Aarti Singh
2016	A*	`conf`	Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition. AAAI Yining Wang, Aarti Singh
2016	J	`jnl`	Spectral Learning for Supervised Topic Models. CoRR Yong Ren, Yining Wang, Jun Zhu
2015	A*	`conf`	A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data. ICML Yining Wang, Yu-Xiang Wang, Aarti Singh
2015	—	`conf`	An empirical comparison of sampling techniques for matrix column subset selection. Allerton Yining Wang, Aarti Singh
2015	J	`jnl`	Clustering Consistent Sparse Subspace Clustering. CoRR Yining Wang, Yu-Xiang Wang, Aarti Singh
2015	A	`conf`	Column Subset Selection with Missing Data via Active Sampling. AISTATS Yining Wang, Aarti Singh
2015	A*	`conf`	DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics. ICML Yining Wang, Jun Zhu
2015	—	`conf`	Differentially private subspace clustering. NIPS Yining Wang, Yu-Xiang Wang, Aarti Singh
2015	J	`jnl`	Provably Correct Active Sampling Algorithms for Matrix Column Subset Selection with Missing Data. CoRR Yining Wang, Aarti Singh
2014	J	`jnl`	Noise-adaptive Margin-based Active Learning for Multi-dimensional Data. CoRR Yining Wang, Aarti Singh
2014	A*	`conf`	Small-Variance Asymptotics for Dirichlet Process Mixtures of SVMs. AAAI Yining Wang, Jun Zhu
2014	—	`conf`	Spectral Methods for Supervised Topic Models. NIPS Yining Wang, Jun Zhu
2013	J	`jnl`	A Theoretical Analysis of NDCG Type Ranking Measures CoRR Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu, Wei Chen
2013	A*	`conf`	A Theoretical Analysis of NDCG Type Ranking Measures. COLT Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu