ML Anthology

Li, Xiaoyun

22 publications

ICLR 2024 Stochastic Controlled Averaging for Federated Learning with Communication Compression Xinmeng Huang, Ping Li, Xiaoyun Li
ICML 2023 Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation Xiaoyun Li, Ping Li
UAI 2023 Fed-LAMB: Layer-Wise and Dimension-Wise Locally Adaptive Federated Learning Belhal Karimi, Ping Li, Xiaoyun Li
ICLR 2023 Improved Convergence of Differential Private SGD with Gradient Clipping Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li
NeurIPS 2023 K-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy Chenglin Fan, Ping Li, Xiaoyun Li
ICML 2023 LSDS++ : Dual Sampling for Accelerated K-Means++ Chenglin Fan, Ping Li, Xiaoyun Li
NeurIPS 2023 Smooth Flipping Probability for Differential Private Sign Random Projection Methods Ping Li, Xiaoyun Li
ICML 2022 C-MinHash: Improving Minwise Hashing with Circulant Permutation Xiaoyun Li, Ping Li
IJCAI 2022 Learning Cluster Causal Diagrams: An Information-Theoretic Approach Xueyan Niu, Xiaoyun Li, Ping Li
ICLR 2022 On Distributed Adaptive Optimization with Gradient Compression Xiaoyun Li, Belhal Karimi, Ping Li
NeurIPS 2022 Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate Chenglin Fan, Ping Li, Xiaoyun Li
NeurIPS 2022 SignRFF: Sign Random Fourier Features Xiaoyun Li, Ping Li
AISTATS 2021 One-Sketch-for-All: Non-Linear Random Features from Compressed Linear Measurements Xiaoyun Li, Ping Li
ACML 2021 An Optimistic Acceleration of AMSGrad for Nonconvex Optimization Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li
AAAI 2021 Fast and Compact Bilinear Pooling by Shifted Random Maclaurin Tan Yu, Xiaoyun Li, Ping Li
ICML 2021 Quantization Algorithms for Random Fourier Features Xiaoyun Li, Ping Li
AAAI 2021 Rejection Sampling for Weighted Jaccard Similarity Revisited Xiaoyun Li, Ping Li
AAAI 2020 IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation Xiaoyun Li, Chengxi Wu, Ping Li
ICLR 2020 Optimistic Adaptive Acceleration for Optimization Jun-Kun Wang, Xiaoyun Li, Ping Li
NeurIPS 2019 Generalization Error Analysis of Quantized Compressive Learning Xiaoyun Li, Ping Li
NeurIPS 2019 Random Projections with Asymmetric Quantization Xiaoyun Li, Ping Li
NeurIPS 2019 Re-Randomized Densification for One Permutation Hashing and Bin-Wise Consistent Weighted Sampling Ping Li, Xiaoyun Li, Cun-Hui Zhang