Qian Zhang

According to our database, Qian Zhang authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Sample Complexity of Agnostic Multiclass Classification: Natarajan Dimension Strikes Back.

Alon Cohen, Liad Erez, Steve Hanneke, Tomer Koren, Yishay Mansour, Shay Moran, Qian Zhang

Proceedings of the 58th Annual ACM Symposium on Theory of Computing, 2026

2025

Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory.

Jiajun Liang, Qian Zhang, Wei Deng, Qifan Song, Guang Lin

J. Comput. Graph. Stat., 2025

Universal Rates for Multiclass Learning with Bandit Feedback.

Steve Hanneke, Amirreza Shaeiri, Qian Zhang

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Functional Linear Regression of Cumulative Distribution Functions.

Qian Zhang, Anuran Makur, Kamyar Azizzadenesheli

Trans. Mach. Learn. Res., 2024

Sparse Contextual CDF Regression.

Kamyar Azizzadenesheli, William Lu, Anuran Makur, Qian Zhang

Trans. Mach. Learn. Res., 2024

On Convergence of Federated Averaging Langevin Dynamics.

Wei Deng, Qian Zhang, Yian Ma, Zhao Song, Guang Lin

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Improved Sample Complexity for Multiclass PAC Learning.

Steve Hanneke, Shay Moran, Qian Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Reward Selection with Noisy Observations.

Kamyar Azizzadenesheli, Trung Dang, Aranyak Mehta, Alexandros Psomas, Qian Zhang

CoRR, 2023

Universal Rates for Multiclass Learning.

Steve Hanneke, Shay Moran, Qian Zhang

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Non-reversible Parallel Tempering for Deep Posterior Approximation.

Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Functional Linear Regression of CDFs.

Qian Zhang, Anuran Makur, Kamyar Azizzadenesheli

CoRR, 2022

2021

Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation.

Qian Zhang, Yilin Zheng, Jean Honorio

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Support Union Recovery in Meta Learning of Gaussian Graphical Models.

Qian Zhang, Yilin Zheng, Jean Honorio

CoRR, 2020