Publications

You can also find my articles on my Google Scholar profile.

Preprints & Working Papers

Constrained Nonconvex Stochastic Optimization with One Projection
Yuyang Deng, Mohammadreza M. Kalan, Eitan J. Neugut, Mehrdad Mahdavi.
arXiv preprint arXiv:2609.34099, 2026.
[arXiv]

Classification with Abstention Under Class-Conditional Error Constraints
Mohammadreza M. Kalan, Yuyang Deng, Sanaz Hamidi.
arXiv preprint arXiv:2609.22632, 2026.
[arXiv]

Direct Self-Evolving Optimization: Evolving LLMs without Challenger Training
Yuyang Deng, Yu Wang, Jiayun Wang.
arXiv preprint arXiv:2609.34279, 2026.
[arXiv]

Conference Proceedings

2026

On the Convergence and Stability of Distributed Sub-model Training
Yuyang Deng, Fuli Qiao, Mehrdad Mahdavi.
In International Conference on Artificial Intelligence and Statistics (AISTATS), 2026.
[arXiv]

Neyman-Pearson Classification under Both Null and Alternative Distributions Shift
Mohammadreza Mousavi Kalan, Yuyang Deng, Eitan J. Neugut, Samory Kpotufe.
In International Conference on Learning Representations (ICLR), 2026.
[arXiv]

2025

Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
Yuyang Deng, Samory Kpotufe.
In Conference on Neural Information Processing Systems (NeurIPS), 2025.

Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
Yuyang Deng, Fuli Qiao, Mehrdad Mahdavi.
In International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.

2024

Collaborative Learning with Different Labeling Functions
Yuyang Deng, Mingda Qiao.
In International Conference on Machine Learning (ICML), 2024.

On the Generalization Ability of Unsupervised Pretraining
Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi.
In International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.

2023

Distributed Personalized Empirical Risk Minimization
Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi.
In Conference on Neural Information Processing Systems (NeurIPS), 2023.

Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation
Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi.
In Conference on Neural Information Processing Systems (NeurIPS), 2023.

Understanding Deep Gradient Leakage via Inversion Influence Functions
Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou.
In Conference on Neural Information Processing Systems (NeurIPS), 2023.

2022 & Prior

Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Mini-max Problems
Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi.
In Conference on Neural Information Processing Systems (NeurIPS), 2022.

Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi.
In International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.

Distributionally Robust Federated Averaging
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi.
In Conference on Neural Information Processing Systems (NeurIPS), 2020.

Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency
Yuyang Deng, Mehrdad Mahdavi.
In International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.

Adaptive Personalized Federated Learning
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi.
arXiv preprint arXiv:2003.13461, 2020.
[arXiv]