Jiayuan Ye

7 papers · 2021–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze ❓ The Questioner

Venues

NeurIPS (4) ICLR (3)

Top co-authors

Reza Shokri (7) Buxin Su (1) Hamed Hassani (1) Weijie Su (1) Zhenyu Zhu (1) Fanghui Liu (1) Anmin Kang (1) Zebang Shen (1) Volkan Cevher (1) Chendi Wang (1)

Research topics

Machine Learning (7) Application Areas (7) Optimization & Theory · Machine Learning (6) Deep Learning (2) Artificial Intelligence (1) Architectures (1) Core Methods (1) Learning Paradigms (1) Learning Types (1) Optimization & Theory · Deep Learning (1)

Keywords

differential privacy (4) membership inference (2) privacy bound (2) stochastic gradient descent (2) gaussian process (1) renyi divergence (1) machine learning (1) data privacy (1) data heterogeneity (1) gradient norm (1) model convergence (1) privacy leakage (1) noisy gradient descent (1) privacy amplification (1) langevin diffusion (1) gradient complexity (1) data reconstruction (1) neural network (1) mixture mechanism (1) statistical learning (1)

Papers

How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning ICLR 2025 Leave-one-out Distinguishability in Machine Learning ICLR 2024 Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks NeurIPS 2023 Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning ICLR 2023 Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy NeurIPS 2023 Differentially Private Learning Needs Hidden State (Or Much Faster Convergence) NeurIPS 2022 Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent NeurIPS 2021