Xiaoyun Li
21 papers · 2019–2024 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Research topics
Machine Learning
(20)
Mathematics & Optimization
(12)
Optimization & Theory
(12)
Core Methods
(9)
Optimization
(7)
Mathematics
(6)
Computer Science
(5)
Application Areas
(5)
Artificial Intelligence
(4)
Foundations
(4)
Deep Learning
(3)
Applications
(3)
Learning Paradigms
(3)
Data Science & Analytics
(2)
Learning Types
(2)
Keywords
dimensionality reduction
(4)
random projection
(4)
differential privacy
(4)
gradient compression
(3)
gaussian kernel
(3)
convergence analysis
(3)
federated learning
(3)
approximation error
(2)
adaptive gradient method
(2)
non-convex optimization
(2)
jaccard similarity
(2)
approximate nearest neighbor
(2)
locality sensitive hashing
(2)
vector quantization
(2)
neural network optimization
(2)
nearest neighbor search
(2)
distributed learning
(2)
kernel approximation
(2)
minwise hashing
(2)
partial participation
(2)
Papers
Stochastic Controlled Averaging for Federated Learning with Communication Compression
ICLR 2024
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
ICML 2023
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning
UAI 2023
Improved Convergence of Differential Private SGD with Gradient Clipping
ICLR 2023
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy
NeurIPS 2023
LSDS++ : Dual Sampling for Accelerated k-means++
ICML 2023
Smooth Flipping Probability for Differential Private Sign Random Projection Methods
NeurIPS 2023
C-MinHash: Improving Minwise Hashing with Circulant Permutation
ICML 2022
Learning Cluster Causal Diagrams: An Information-Theoretic Approach
IJCAI 2022
On Distributed Adaptive Optimization with Gradient Compression
ICLR 2022
Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate
NeurIPS 2022
SignRFF: Sign Random Fourier Features
NeurIPS 2022
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization
ACML 2021
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin
AAAI 2021
One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements
AISTATS 2021
Quantization Algorithms for Random Fourier Features
ICML 2021
Rejection Sampling for Weighted Jaccard Similarity Revisited
AAAI 2021
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation
AAAI 2020
Generalization Error Analysis of Quantized Compressive Learning
NeurIPS 2019
Random Projections with Asymmetric Quantization
NeurIPS 2019
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling
NeurIPS 2019