Ma, Shiqian

21 publications

NeurIPS 2025 ASGO: Adaptive Structured Gradient Optimization Kang An, Yuxing Liu, Rui Pan, Yi Ren, Shiqian Ma, Donald Goldfarb, Tong Zhang

JMLR 2025 Efficiently Escaping Saddle Points in Bilevel Optimization Minhui Huang, Xuxing Chen, Kaiyi Ji, Shiqian Ma, Lifeng Lai

AAAI 2025 First-Order Federated Bilevel Learning Yifan Yang, Peiyao Xiao, Shiqian Ma, Kaiyi Ji

JMLR 2025 Riemannian Bilevel Optimization Jiaxiang Li, Shiqian Ma

NeurIPS 2025 Riemannian Proximal Sampler for High-Accuracy Sampling on Manifolds Yunrui Guan, Krishna Balasubramanian, Shiqian Ma

ICLR 2025 Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis Yifan Yang, Hao Ban, Minhui Huang, Shiqian Ma, Kaiyi Ji

JMLR 2024 On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport Minhui Huang, Shiqian Ma, Lifeng Lai

ICML 2023 Decentralized Stochastic Bilevel Optimization with Improved Per-Iteration Complexity Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian

JMLR 2022 Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold Bokun Wang, Shiqian Ma, Lingzhou Xue

ICML 2021 A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance Minhui Huang, Shiqian Ma, Lifeng Lai

ICML 2021 Projection Robust Wasserstein Barycenters Minhui Huang, Shiqian Ma, Lifeng Lai

NeurIPS 2018 Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu

AAAI 2017 Adaptive Proximal Average Approximation for Composite Convex Minimization Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma

ICML 2017 GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma

NeurIPS 2017 Geometric Descent Method for Convex Composite Minimization Shixiang Chen, Shiqian Ma, Wei Liu

NeurIPS 2016 Barzilai-Borwein Step Size for Stochastic Gradient Descent Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian

AAAI 2015 Low-Rank Similarity Metric Learning in High Dimensions Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith, Shih-Fu Chang

ICCVW 2015 Sparse Subspace Clustering for Incomplete Images Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, Hong Cheng

AAAI 2014 Doubly Regularized Portfolio with Risk Minimization Weiwei Shen, Jun Wang, Shiqian Ma

NeurIPS 2010 Sparse Inverse Covariance Selection via Alternating Linearization Methods Katya Scheinberg, Shiqian Ma, Donald Goldfarb

CVPR 2008 An Efficient Algorithm for Compressed MR Imaging Using Total Variation and Wavelets Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty