Wang, Yining

36 publications

CVPR 2024 Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse Yining Wang, Junjie Sun, Chenyue Wang, Mi Zhang, Min Yang

NeurIPS 2024 Stochastic Zeroth-Order Optimization Under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee

MIDL 2023 Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning Sixing Yin, Yameng Han, Judong Pan, Yining Wang, Shufang Li

AISTATS 2023 Optimal Sample Complexity Bounds for Non-Convex Optimization Under Kurdyka-Lojasiewicz Condition Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee

NeurIPS 2023 Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason Lee

AISTATS 2021 Smooth Bandit Optimization: Generalization to Holder Space Yusha Liu, Yining Wang, Aarti Singh

AISTATS 2021 Tight Regret Bounds for Infinite-Armed Linear Contextual Bandits Yingkai Li, Yining Wang, Xi Chen, Yuan Zhou

ICML 2021 Adversarial Combinatorial Bandits with General Non-Linear Reward Functions Yanjun Han, Yining Wang, Xi Chen

ICLR 2021 Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang, Ruosong Wang, Simon Shaolei Du, Akshay Krishnamurthy

JMLR 2020 Dynamic Assortment Optimization with Changing Contextual Information Xi Chen, Yining Wang, Yuan Zhou

COLT 2020 Root-N-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou

IJCAI 2019 Co-Attentive Multi-Task Learning for Explainable Recommendation Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen

COLT 2019 Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits Yingkai Li, Yining Wang, Yuan Zhou

AISTATS 2018 Direct Learning to Rank and Rerank Cynthia Rudin, Yining Wang

NeurIPS 2018 How Many Samples Are Needed to Estimate a Convolutional Neural Network? Simon S Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh

NeurIPS 2018 Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models Yining Wang, Xi Chen, Yuan Zhou

NeurIPS 2018 Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates Yining Wang, Sivaraman Balakrishnan, Aarti Singh

IJCAI 2018 Phrase Table as Recommendation Memory for Neural Machine Translation Yang Zhao, Yining Wang, Jiajun Zhang, Chengqing Zong

AISTATS 2018 Stochastic Zeroth-Order Optimization in High Dimensions Yining Wang, Simon S. Du, Sivaraman Balakrishnan, Aarti Singh

ICML 2017 Near-Optimal Design of Experiments via Regret Minimization Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang

JMLR 2017 On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models Yining Wang, Adams Wei Yu, Aarti Singh

NeurIPS 2017 On the Power of Truncated SVD for General High-Rank Matrix Estimation Problems Simon S Du, Yining Wang, Aarti Singh

ICML 2017 Sequence Modeling via Segmentations Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng

COLT 2016 An Improved Gap-Dependency Analysis of the Noisy Power Method Maria-Florina Balcan, Simon Shaolei Du, Yining Wang, Adams Wei Yu

NeurIPS 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering Bo Li, Yining Wang, Aarti Singh, Yevgeniy Vorobeychik

AISTATS 2016 Graph Connectivity in Noisy Sparse Subspace Clustering Yining Wang, Yu-Xiang Wang, Aarti Singh

AAAI 2016 Noise-Adaptive Margin-Based Active Learning and Lower Bounds Under Tsybakov Noise Condition Yining Wang, Aarti Singh

NeurIPS 2016 Online and Differentially-Private Tensor Decomposition Yining Wang, Anima Anandkumar

ICML 2015 A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-Reduced Data Yining Wang, Yu-Xiang Wang, Aarti Singh

AISTATS 2015 Column Subset Selection with Missing Data via Active Sampling Yining Wang, Aarti Singh

ICML 2015 DP-Space: Bayesian Nonparametric Subspace Clustering with Small-Variance Asymptotics Yining Wang, Jun Zhu

NeurIPS 2015 Differentially Private Subspace Clustering Yining Wang, Yu-Xiang Wang, Aarti Singh

NeurIPS 2015 Fast and Guaranteed Tensor Decomposition via Sketching Yining Wang, Hsiao-Yu Tung, Alexander J Smola, Anima Anandkumar

AAAI 2014 Small-Variance Asymptotics for Dirichlet Process Mixtures of SVMs Yining Wang, Jun Zhu

NeurIPS 2014 Spectral Methods for Supervised Topic Models Yining Wang, Jun Zhu

COLT 2013 A Theoretical Analysis of NDCG Type Ranking Measures Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu