Qinghua Ding
4 papers · 2019–2021 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🐣
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Keywords
variance reduction
(2)
non-convex optimization
(1)
sample complexity
(1)
deep learning
(1)
markov chain
(1)
oracle complexity
(1)
stochastic convex optimization
(1)
distribution testing
(1)
mirror descent
(1)
convergence rate
(1)
identity testing
(1)
eigenvalue computation
(1)
nesterov momentum
(1)
transition matrix
(1)
riemannian gradient descent
(1)
oja's rule
(1)
noisy fixed point iteration
(1)
saga algorithm
(1)
sampled negative momentum
(1)
stochastic optimization
(1)
Papers
Learning and Testing Irreducible Markov Chains via the k-Cover Time
ALT 2021
Amortized Nesterov’s Momentum: A Robust Momentum and Its Application to Deep Learning
UAI 2020
Tight Convergence Rate of Gradient Descent for Eigenvalue Computation
IJCAI 2020
Direct Acceleration of SAGA using Sampled Negative Momentum
AISTATS 2019