Jiacheng Zhuo

According to our database, Jiacheng Zhuo authored at least 12 papers between 2017 and 2022.

Collaborative distances:

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

2022

Improving Computational Complexity in Statistical Models with Second-Order Information.

Tongzheng Ren, Jiacheng Zhuo, Sujay Sanghavi, Nhat Ho

CoRR, 2022

2021

On the computational and statistical complexity of over-parameterized matrix sensing.

Jiacheng Zhuo, Jeongyeol Kwon, Nhat Ho, Constantine Caramanis

CoRR, 2021

Predicting What You Already Know Helps: Provable Self-Supervised Learning.

Jason D. Lee, Qi Lei, Nikunj Saunshi, Jiacheng Zhuo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Robust Structured Statistical Estimation via Conditional Gradient Type Methods.

Jiacheng Zhuo, Liu Liu, Constantine Caramanis

CoRR, 2020

Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls.

Jiacheng Zhuo, Qi Lei, Alex Dimakis, Constantine Caramanis

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Weaving geodesic foliations.

Josh Vekhter, Jiacheng Zhuo, Luisa F. Gil Fandino, Qixing Huang, Etienne Vouga

ACM Trans. Graph., 2019

Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization.

Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo

CoRR, 2019

Primal-Dual Block Frank-Wolfe.

Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis

CoRR, 2019

Primal-Dual Block Generalized Frank-Wolfe.

Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

K-Best Transformation Synchronization.

Yifan Sun, Jiacheng Zhuo, Arnav Mohan, Qixing Huang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Bottom-Up Object Detection by Grouping Extreme and Center Points.

Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning.

Fanhua Shang, Yuanyuan Liu, James Cheng, Jiacheng Zhuo

CoRR, 2017