Junze Yin

According to our database, Junze Yin authored at least 22 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

I3S: Importance Sampling Subspace Selection for Low-Rank Optimization in LLM Pretraining.

Haochen Zhang, Junze Yin, Guanchu Wang, Zirui Liu, Tianyi Zhang, Anshumali Shrivastava, Lin Yang, Vladimir Braverman

CoRR, February, 2025

Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory.

Jiehao Liang, Zhao Song, Zhaozhuo Xu, Junze Yin, Danyang Zhuo

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time.

Yeqi Gao, Zhao Song, Weixin Wang, Junze Yin

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation.

Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fast and Efficient Matching Algorithm with Deadline Instances.

Zhao Song, Weixin Wang, Chenbo Yin, Junze Yin

Proceedings of the Conference on Parsimony and Learning, 2025

An Iterative Algorithm for Rescaled Hyperbolic Functions Regression.

Yeqi Gao, Zhao Song, Junze Yin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems.

Haochen Zhang, Tianyi Zhang, Junze Yin, Oren Gal, Anshumali Shrivastava, Vladimir Braverman

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Inverting the Leverage Score Gradient: An Efficient Approximate Newton Method.

Chenyang Li, Zhao Song, Zhaoxing Xu, Junze Yin

CoRR, 2024

Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers.

Jiuxiang Gu, Yingyu Liang, Heshan Liu, Zhenmei Shi, Zhao Song, Junze Yin

CoRR, 2024

How to Inverting the Leverage Score Distribution?

Zhihang Li, Zhao Song, Weixin Wang, Junze Yin, Zheng Yu

CoRR, 2024

Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time.

Yuzhou Gu, Zhao Song, Junze Yin, Lichen Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Solving Attention Kernel Regression Problem via Pre-conditioner.

Zhao Song, Junze Yin, Lichen Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Fast Dynamic Sampling for Determinantal Point Processes.

Zhao Song, Junze Yin, Lichen Zhang, Ruizhe Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression.

Zhihang Li, Zhao Song, Zifan Wang, Junze Yin

CoRR, 2023

Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters.

Zhao Song, Junze Yin, Ruizhe Zhang

CoRR, 2023

The Expressibility of Polynomial based Attention Scheme.

Zhao Song, Guangyi Xu, Junze Yin

CoRR, 2023

A Unified Scheme of ResNet and Softmax.

Zhao Song, Weixin Wang, Junze Yin

CoRR, 2023

GradientCoin: A Peer-to-Peer Decentralized Large Language Models.

Yeqi Gao, Zhao Song, Junze Yin

CoRR, 2023

Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis.

Xiang Chen, Zhao Song, Baocheng Sun, Junze Yin, Danyang Zhuo

CoRR, 2023

Faster Robust Tensor Power Method for Arbitrary Order.

Yichuan Deng, Zhao Song, Junze Yin

CoRR, 2023

Federated Empirical Risk Minimization via Second-Order Method.

Song Bian, Zhao Song, Junze Yin

CoRR, 2023

A Nearly-Optimal Bound for Fast Regression with ℓ_∞ Guarantee.

Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang

Proceedings of the International Conference on Machine Learning, 2023