Weiwei Kong
6 papers · 2019–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
ICLR (2)
NIPS (2)
ALT (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
differential privacy
(2)
learning theory
(1)
stochastic gradient descent
(1)
in-context learning
(1)
pac learning
(1)
privacy-preserving learning
(1)
empirical risk minimization
(1)
synthetic datum
(1)
gradient clipping
(1)
model collapse
(1)
softmax function
(1)
simplex projection
(1)
synthetic text generation
(1)
bregman projection
(1)
large language model
(1)
private machine learning
(1)
adaptive parameter
(1)
private prediction
(1)
gradient norm computation
(1)
privacy-preserving machine learning
(1)
Papers
Learning from Synthetic Data: Limitations of ERM
ALT 2026
Differentially private optimization for non-decomposable objective functions
ICLR 2025
Private prediction for large-scale synthetic text generation
EMNLP 2024
A Unified Fast Gradient Clipping Framework for DP-SGD
NIPS 2023
Rankmax: An Adaptive Projection Alternative to the Softmax Function
NIPS 2020
A new dog learns old tricks: RL finds classic optimization algorithms
ICLR 2019