Qiu, Yixuan

9 publications

ICML 2025 The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport Chenrui Wang, Yixuan Qiu

TMLR 2025 Wasserstein Coreset via Sinkhorn Loss Haoyun Yin, Yixuan Qiu, Xiao Wang

AISTATS 2024 Graph Machine Learning Through the Lens of Bilevel Optimization Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

NeurIPS 2024 Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport Zihao Tang, Yixuan Qiu

JMLR 2023 Randomized Spectral Co-Clustering for Large-Scale Directed Networks Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang

NeurIPS 2023 ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence Ben Dai, Yixuan Qiu

NeurIPS 2022 Learning Manifold Dimensions with Conditional Variational Autoencoders Yijia Zheng, Tong He, Yixuan Qiu, David P Wipf

AAAI 2020 Stochastic Approximate Gradient Descent via the Langevin Algorithm Yixuan Qiu, Xiao Wang

ICLR 2020 Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models Yixuan Qiu, Lingsong Zhang, Xiao Wang