Alex Bie

7 papers · 2021–2026 · 4 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🔥 Unstoppable · Bronze

Venues

NeurIPS (4) ALT (1) EMNLP (1) ICML (1)

Top co-authors

Gautam Kamath (4) Umar Syed (2) Tosca Lechner (2) Sergei Vassilvitskii (2) Vikrant Singhal (2) Weiwei Kong (2) Kareem Amin (2) Shai Ben-David (2) Clément L Canonne (1) Andreas Terzis (1)

Research topics

Machine Learning (6) Optimization & Theory (6) Application Areas (3) Deep Learning (2) Artificial Intelligence (1) Natural Language Processing (1) Security & Privacy (1) Core AI (1) Differential Privacy (1) Generation (1) Learning Types (1) Models (1)

Keywords

differential privacy (4) distribution learning (2) optimal transport (1) in-context learning (1) pac learning (1) gradient estimation (1) empirical risk minimization (1) compression scheme (1) learnability (1) statistical estimation (1) sample compression (1) adaptive adversaries (1) generative model (1) public data (1) synthetic data (1) model collapse (1) sinkhorn divergence (1) gaussian model (1) synthetic text generation (1) large language model (1)

Papers

Learning from Synthetic Data: Limitations of ERM ALT 2026 On the Learnability of Distribution Classes with Adaptive Adversaries ICML 2025 Private prediction for large-scale synthetic text generation EMNLP 2024 Distribution Learnability and Robustness NeurIPS 2023 Private Distribution Learning with Public Data: The View from Sample Compression NeurIPS 2023 Private Estimation with Public Data NeurIPS 2022 Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence NeurIPS 2021