Zhipeng Lou

According to our database, Zhipeng Lou authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization.

Soham Bonnerjee, Zhipeng Lou, Wei Biao Wu

CoRR, April, 2026

Spectral Ranking Inferences Based on General Multiway Comparisons.

Jianqing Fan, Zhipeng Lou, Weichen Wang, Mengxin Yu

Oper. Res., 2026

2025

Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent.

Ziyang Wei, Jiaqi Li, Zhipeng Lou, Wei Biao Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Statistical Guarantees for High-Dimensional Stochastic Gradient Descent.

Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber, Wei Biao Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization.

Wanrong Zhu, Zhipeng Lou, Ziyang Wei, Wei Biao Wu

CoRR, 2024

2022

Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent.

Wanrong Zhu, Zhipeng Lou, Wei Biao Wu

J. Mach. Learn. Res., 2022

Robust High-dimensional Tuning Free Multiple Testing.

Jianqing Fan, Zhipeng Lou, Mengxin Yu

CoRR, 2022

Ranking Inferences Based on the Top Choice of Multiway Comparisons.

Jianqing Fan, Zhipeng Lou, Weichen Wang, Mengxin Yu

CoRR, 2022

Are Latent Factor Regression and Sparse Regression Adequate?

Jianqing Fan, Zhipeng Lou, Mengxin Yu

CoRR, 2022