Alex Bie
7 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (3) ๐ Renaissance Researcher (5) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Cross-Pollinator (15)
๐ฅ
Unstoppable
(5)
Conferences
NIPS (4)
ALT (1)
EMNLP (1)
ICML (1)
Top co-authors
Research topics
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)
statistical estimation
(1)
sample compression
(1)
generative model
(1)
public datum
(1)
synthetic datum
(1)
model collapse
(1)
sinkhorn divergence
(1)
gaussian model
(1)
synthetic text generation
(1)
large language model
(1)
private estimation
(1)
private prediction
(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
NIPS 2023
Private Distribution Learning with Public Data: The View from Sample Compression
NIPS 2023
Private Estimation with Public Data
NIPS 2022
Donโt Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
NIPS 2021