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  1. Yining Wang. I am an associate professor of operations management at the Naveen Jindal School of Management of Unversity of Texas at Dallas . Before joining UTD, I am an assistant professor of information systems and operations management at the Warrington College of Business of University of Florida . I obtained my PhD in Machine Learning at ...

    • Publications

      Network Revenue Management with Demand Learning and Fair...

    • 2023
    • 2022
    • 2021
    • 2020
    • 2019
    • 2018
    • 2017
    • 2016
    • 2015
    • 2014
    On Adaptivity in Non-stationary Stochastic Optimization With Bandit Feedback. By Yining Wang. [journal link] Operations Research (tech. note), accepted for publication.
    Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection. By Yi Chen**, Yining Wang**, Ethan X. Fang, Zhaoran Wang and Runze Li. [journal link] Journal o...
    Network Revenue Management with Nonparametric Demand Learning: sqrt{T}-regret and Polynomial Dimension Dependency. By Sentao Miao* and Yining Wang*. [slides]
    Active Learning for Contextual Search with Binary Feedbacks. By Xi Chen*, Quanquan Liu* and Yining Wang*. [journal link] Management Science, 69(4):2165-2181, 2023.
    Differential Privacy in Personalized Pricing with Nonparametric Demand Models. By Xi Chen*, Sentao Miao* and Yining Wang*. [journal link] [slides] Operations Research, 71(2):581-602, 2023.
    Optimal Policies for Dynamic Pricing and Inventory Control with Nonparametric Censored Demands. By Beryl Boxiao Chen*, Yining Wang* and Yuan Zhou*. [slides] [journal link] Management Science, accep...
    Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. By Xi Chen*, David Simchi-Levi* and Yining Wang*. [journal link] [slides] Management Science, 68(7):4878-4898, 2022.
    Constant Regret Re-solving Heuristics for Price-based Revenue Management. By Yining Wang and He Wang. [journal link] Operations Research, 70(6):3538-3557, 2022.
    Multi-modal Dynamic Pricing. By Yining Wang, Beryl Boxiao Chen and David Simchi-Levi. [journal link] Management Science, 67(10):6136-6152, 2021.
    Robust Dynamic Assortment Optimization in the Presence of Outlier Customers. By Xi Chen*, Akshay Krishnamurthy* and Yining Wang*. [slides] [journal link] Operations Research, accepted for publication.
    Dynamic Assortment Optimization with Changing Contextual Information. By Xi Chen*, Yining Wang* and Yuan Zhou*. [journal link] Journal of Machine Learning Research, 21(216):1-44, 2020.
    Dynamic Assortment Selection under the Nested Logit Models. By Xi Chen*, Chao Shi*, Yining Wang* and Yuan Zhou*. [journal link] Production and Operations Management, 30(1):85-102, 2021.
    Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions. By Yining Wang. [journal link] Electronic Journal of Statistics, 13(1):37-66, 2019.
    Stochastic Zeroth-order Optimization in High Dimensions. By Yining Wang, Simon Du, Sivaraman Balakrishnan and Aarti Singh. [slides] In AISTATS 2018(oral), Playa Blanca, Spain.
    A Note on a Tight Lower Bound for MNL-Bandit Assortment Selection Models. By Xi Chen* and Yining Wang*. [journal link] Operations Research Letters, 46(5):534-537, 2018.
    Non-stationary Stochastic Optimization with Local Spatial and Temporal Changes. By Xi Chen*, Yining Wang* and Yu-Xiang Wang*. [slides] [journal link] Operations Research (tech. note), 67(6):1752-17...
    Fast and Guaranteed Tensor Decomposition via Sketching. By Yining Wang, Hsiao-Yu Fish Tung, Alex Smola and Anima Anandkumar. [code] In NIPS 2015 (spotlight), Montreal, Canada.
    A Theoretical Analysis of Noisy Sparse Subspace Clustering on Dimensionality-Reduced Data. By Yining Wang, Yu-Xiang Wang and Aarti Singh. [journal link] IEEE Transactions on Information Theory, 65(...
    Noise-adaptive Margin-based Active Learning and Lower Bounds under Tsybakov Noise Condition. By Yining Wang and Aarti Singh. In AAAI 2016 (oral), Phoenix, USA. [slides]
    Spectral Learning for Supervised Topic Models. By Yong Ren**, Yining Wang** and Jun Zhu. [code] IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(3):726-739, 2018.
    Small-variance Asymptotics for Dirichlet Process Mixtures of SVMs. By Yining Wang and Jun Zhu. [slides] [code] In AAAI 2014(oral), Quebec City, Canada.
  2. 2023. ‪Graduate Student, Yale University‬ - ‪‪Cited by 2‬‬ - ‪Machine Learning‬ - ‪Deep Learning‬ - ‪Natural Language Processing‬.

  3. View Yining Wangs profile on LinkedIn, a professional community of 1 billion members. Southeast Asia COO and Head of GPPG for SEA, BlackRock · Experience: BlackRock · Education: University...

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  4. Yining Wang. Beijing University of Posts and Telecommunications. Verified email at bupt.edu.cn. machine learning wireless network. Title. Sort. Sort by citations Sort by year Sort by title....

  5. Yining WANG, Senior Research Fellow | Cited by 2,040 | of Nanyang Technological University, Singapore (ntu) | Read 32 publications | Contact Yining WANG

  6. Articles 1–11. ‪NLP Reseacher, Unisound‬ - ‪‪Cited by 383‬‬ - ‪Natural Language Processing‬ - ‪Machine Translation‬.