Meng Ding
7 papers · 2024–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (11) π Triple Crown
π
Grand Slam
Conferences
ICLR (2)
NIPS (2)
AAAI (1)
ICML (1)
UAI (1)
Top co-authors
Research topics
Keywords
differential privacy
(3)
stochastic gradient descent
(1)
nonconvex optimization
(1)
non-convex optimization
(1)
bayesian learning
(1)
game theory
(1)
minimax optimization
(1)
mechanism design
(1)
empirical risk minimization
(1)
sparse regression
(1)
high-dimensional regression
(1)
high-dimensional learning
(1)
algorithm analysis
(1)
sparse linear regression
(1)
incentive compatibility
(1)
relu regression
(1)
gaussian mechanism
(1)
high-dimensional setting
(1)
stochastic gradient descent ascent
(1)
bayes nash equilibrium
(1)
Papers
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram
ICLR 2025
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
AAAI 2025
Nearly Optimal Differentially Private ReLU Regression
UAI 2025
Understanding Forgetting in Continual Learning with Linear Regression
ICML 2024
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
ICLR 2024
Truthful High Dimensional Sparse Linear Regression
NIPS 2024
Revisiting Differentially Private ReLU Regression
NIPS 2024