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Privacy-Preserving Dynamic Personalized Pricing with Demand Learning

Sep 27, 2020
Xi Chen, David Simchi-Levi, Yining Wang


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Nearly Bounded Regret of Re-solving Heuristics in Price-based Revenue Management

Sep 07, 2020
Yining Wang


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Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection

Sep 04, 2020
Yining Wang, Yi Chen, Ethan X. Fang, Zhaoran Wang, Runze Li

* 54 pages, 4 figures 

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Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing

Mar 16, 2020
Xi Chen, Yining Wang


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Optimism in Reinforcement Learning with Generalized Linear Function Approximation

Dec 09, 2019
Yining Wang, Ruosong Wang, Simon S. Du, Akshay Krishnamurthy


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Robust Dynamic Assortment Optimization in the Presence of Outlier Customers

Oct 09, 2019
Xi Chen, Akshay Krishnamurthy, Yining Wang

* 27 pages, 1 figure 

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Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs

Sep 17, 2019
Yining Wang, Mingzhe Chen, Zhaohui Yang, Xue Hao, Tao Luo, Walid Saad

* This paper has been accepted by the 2019 IEEE Global Communications Conference 

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$\sqrt{n}$-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank

Sep 08, 2019
Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou

* 39 pages. Added additional related works 

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NCLS: Neural Cross-Lingual Summarization

Aug 31, 2019
Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong

* Accepted to EMNLP-IJCNLP 2019 

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Tight Regret Bounds for Infinite-armed Linear Contextual Bandits

May 04, 2019
Yingkai Li, Yining Wang, Yuan Zhou

* 9 pages 

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Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits

Mar 30, 2019
Yingkai Li, Yining Wang, Yuan Zhou

* 20 pages 

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Dynamic Assortment Optimization with Changing Contextual Information

Oct 31, 2018
Xi Chen, Yining Wang, Yuan Zhou

* 37 pages, 4 figures 

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Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty

Oct 25, 2018
Yining Wang, Erva Ulu, Aarti Singh, Levent Burak Kara

* Proceedings of the ASME 2018 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2018) (In Print) 

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A Note on a Tight Lower Bound for MNL-Bandit Assortment Selection Models

Sep 28, 2018
Xi Chen, Yining Wang

* Operations Research Letters 46(5):534-537, 2018 
* Final version, 4 pages (double column) 

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Sequence Modeling via Segmentations

Jul 18, 2018
Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng

* recurrent neural networks, dynamic programming, structured prediction 

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Dynamic Assortment Selection under the Nested Logit Models

Jun 27, 2018
Xi Chen, Yining Wang, Yuan Zhou

* 31 pages 

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Robust Nonparametric Regression under Huber's $Δ$-contamination Model

May 26, 2018
Simon S. Du, Yining Wang, Sivaraman Balakrishnan, Pradeep Ravikumar, Aarti Singh


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Phrase Table as Recommendation Memory for Neural Machine Translation

May 25, 2018
Yang Zhao, Yining Wang, Jiajun Zhang, Chengqing Zong

* accepted by IJCAI 2018 

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How Many Samples are Needed to Learn a Convolutional Neural Network?

May 21, 2018
Simon S. Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh


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Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models

May 12, 2018
Yining Wang, Xi Chen, Yuan Zhou

* 23 pages, 1 figure, 1 table 

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Non-stationary Stochastic Optimization under $L_{p,q}$-Variation Measures

May 11, 2018
Xi Chen, Yining Wang, Yu-Xiang Wang

* 38 pages, 3 figures. Revised version 

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Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates

Mar 22, 2018
Yining Wang, Sivaraman Balakrishnan, Aarti Singh

* 29 pages, 1 figure 

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Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions

Mar 17, 2018
Yining Wang

* 26 pages, 1 table. Added significantly more expositions, and a numerical procedure to check the order of degeneracy. Proofs slightly altered with explicit constants given at various places 

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Near-Linear Time Local Polynomial Nonparametric Estimation

Feb 26, 2018
Yining Wang, Yi Wu, Simon S. Du


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Stochastic Zeroth-order Optimization in High Dimensions

Feb 26, 2018
Yining Wang, Simon Du, Sivaraman Balakrishnan, Aarti Singh

* Camera-ready version at AISTATS 2018 

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Direct Learning to Rank and Rerank

Feb 21, 2018
Cynthia Rudin, Yining Wang

* AISTATS 2018 

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Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data

Jan 25, 2018
Yining Wang, Aarti Singh

* 42 pages. Accepted to Journal of Machine Learning Research 

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On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models

Dec 20, 2017
Yining Wang, Adams Wei Yu, Aarti Singh

* 41 pages. Accepted for publication in Journal of Machine Learning Research 

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Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach

Nov 14, 2017
Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang

* 33 pages, 4 tables. A preliminary version of this paper titled "Near-Optimal Experimental Design via Regret Minimization" with weaker results appeared in the Proceedings of the 34th International Conference on Machine Learning (ICML 2017), Sydney 

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Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT

Nov 13, 2017
Yining Wang, Long Zhou, Jiajun Zhang, Chengqing Zong

* 15 pages,3 figures,CWMT2017. arXiv admin note: text overlap with arXiv:1609.08144 by other authors 

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