Daren Wang

According to our database, Daren Wang authored at least 21 papers between 2010 and 2026.

Collaborative distances:

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

2026

PolyGnosis 2.0: Enhancing LLM Reasoning via Agentic Harness Engineering for Polymarket and OSINT Insight Extraction.

Daren Wang, Hong Xu, Jiawen Xian

CoRR, May, 2026

Think, But Don't Overthink: Reproducing Recursive Language Models.

Daren Wang

CoRR, March, 2026

Beyond Centralized AI: Blockchain-Enabled Decentralized Learning.

Daren Wang, Tengfei Ma, Juntao Zhu, Haihan Duan

Future Internet, 2026

2025

Bias-variance Tradeoff in Tensor Estimation.

Shivam Kumar, Haotian Xu, Carlos Misael Madrid Padilla, Yuehaw Khoo, Oscar Hernan Madrid Padilla, Daren Wang

CoRR, September, 2025

2024

Development of Multimodal Fusion Technology for Tomato Maturity Assessment.

Yang Liu, Chaojie Wei, Seung Chul Yoon, Xinzhi Ni, Wei Wang, Yizhe Liu, Daren Wang, Xiaorong Wang, Xiaohuan Guo

Sensors, April, 2024

Network Online Change Point Localization.

Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo

SIAM J. Math. Data Sci., March, 2024

Tensor Density Estimator by Convolution-Deconvolution.

Yifan Peng, Siyao Yang, Yuehaw Khoo, Daren Wang

CoRR, 2024

Dense ReLU Neural Networks for Temporal-spatial Model.

Zhi Zhang, Carlos Misael Madrid Padilla, Xiaokai Luo, Oscar Hernan Madrid Padilla, Daren Wang

CoRR, 2024

Nonparametric Estimation via Variance-Reduced Sketching.

Yuehaw Khoo, Yifan Peng, Daren Wang

CoRR, 2024

2023

Change point detection and inference in multivariate non-parametric models under mixing conditions.

Carlos Misael Madrid Padilla, Haotian Xu, Daren Wang, Oscar Hernan Madrid Padilla, Yi Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions.

Wanshan Li, Daren Wang, Alessandro Rinaldo

Proceedings of the International Conference on Machine Learning, 2023

2022

Optimal Nonparametric Multivariate Change Point Detection and Localization.

Oscar Hernan Madrid Padilla, Yi Yu, Daren Wang, Alessandro Rinaldo

IEEE Trans. Inf. Theory, 2022

Functional Linear Regression with Mixed Predictors.

Daren Wang, Zifeng Zhao, Yi Yu, Rebecca Willett

J. Mach. Learn. Res., 2022

Change-point Detection for Sparse and Dense Functional Data in General Dimensions.

Carlos Misael Madrid Padilla, Daren Wang, Zifeng Zhao, Yi Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Detecting Abrupt Changes in Sequential Pairwise Comparison Data.

Wanshan Li, Alessandro Rinaldo, Daren Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Statistically and Computationally Efficient Change Point Localization in Regression Settings.

Daren Wang, Zifeng Zhao, Kevin Z. Lin, Rebecca Willett

J. Mach. Learn. Res., 2021

Optimal network online change point localisation.

Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo

CoRR, 2021

Localizing Changes in High-Dimensional Regression Models.

Alessandro Rinaldo, Daren Wang, Qin Wen, Rebecca Willett, Yi Yu

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

DBSCAN: Optimal Rates For Density-Based Cluster Estimation.

Daren Wang, Xinyang Lu, Alessandro Rinaldo

J. Mach. Learn. Res., 2019

2013

Fault Tolerance Reconstruction for Multiple Moving Objects Using Reduced Camera Set.

ChingShun Lin, Minhua Tsai, Daren Wang

Proceedings of the Asia Modelling Symposium 2013, 2013

2010

Spectrogram image encoding based on dynamic Hilbert curve routing.

ChingShun Lin, Daren Wang

Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010