DongDong Ge
7 papers · 2017–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Mathematics & Optimization
(7)
Optimization
(6)
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Deep Learning
(3)
Artificial Intelligence
(1)
Reinforcement Learning
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
non-convex optimization
(2)
linear programming
(2)
variance reduction
(2)
stochastic optimization
(2)
newton method
(2)
convergence analysis
(1)
sample complexity
(1)
markov decision process
(1)
value iteration
(1)
column generation
(1)
sparse optimization
(1)
online learning algorithm
(1)
probability measure
(1)
second-order optimization
(1)
distributionally robust optimization
(1)
first-order method
(1)
second-order method
(1)
graph convolutional network
(1)
wasserstein barycenter
(1)
interior point method
(1)
Papers
A Homogenization Approach for Gradient-Dominated Stochastic Optimization
UAI 2024
Learning to Pivot as a Smart Expert
AAAI 2024
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes
AAAI 2024
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness
AAAI 2024
Solving Linear Programs with Fast Online Learning Algorithms
ICML 2023
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem
NeurIPS 2019
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
ICML 2017