Peilin Zhong
22 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Keywords
differential privacy
(4)
approximation algorithm
(4)
k-means clustering
(3)
low-rank approximation
(3)
matrix approximation
(3)
clustering algorithm
(3)
entrywise loss
(2)
column subset selection
(2)
graph learning
(2)
massively parallel computation
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k-median clustering
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orlicz norm
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nearest neighbor search
(1)
euclidean space
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sample complexity
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matrix factorization
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convergence analysis
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matrix completion
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sequential decision making
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Papers
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
ICLR 2025
Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
ICML 2025
Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures
ICML 2025
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
ICML 2025
High-Dimensional Geometric Streaming for Nearly Low Rank Data
ICML 2024
Perturb-and-Project: Differentially Private Similarities and Marginals
ICML 2024
PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels
ICML 2024
k-Means Clustering with Distance-Based Privacy
NeurIPS 2023
Near-Optimal k-Clustering in the Sliding Window Model
NeurIPS 2023
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
NeurIPS 2022
Massively Parallel k-Means Clustering for Perturbation Resilient Instances
ICML 2022
Near-Optimal Private and Scalable k-Clustering
NeurIPS 2022
Stars: Tera-Scale Graph Building for Clustering and Learning
NeurIPS 2022
Almost Linear Time Density Level Set Estimation via DBSCAN
AAAI 2021
Enhancing Adversarial Defense by k-Winners-Take-All
ICLR 2020
Planning with General Objective Functions: Going Beyond Total Rewards
NeurIPS 2020
Average Case Column Subset Selection for Entrywise β_1-Norm Loss
NeurIPS 2019
Efficient Symmetric Norm Regression via Linear Sketching
NeurIPS 2019
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
NeurIPS 2019
Towards a Zero-One Law for Column Subset Selection
NeurIPS 2019
BourGAN: Generative Networks with Metric Embeddings
NeurIPS 2018
Subspace Embedding and Linear Regression with Orlicz Norm
ICML 2018