Junze Yin

According to our database, Junze Yin authored at least 18 papers between 2023 and 2024.

Collaborative distances:

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

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

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

CoRR, 2023

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

Yeqi Gao, Zhao Song, Junze Yin

CoRR, 2023

Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation.

Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang

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

An Iterative Algorithm for Rescaled Hyperbolic Functions Regression.

Yeqi Gao, 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