Jungbin Kim
3 papers · 2022–2023 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
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Research topics
Keywords
accelerated gradient method
(3)
convergence rate
(2)
gradient descent
(1)
strongly convex
(1)
nesterov method
(1)
accelerated gradient
(1)
strongly convex optimization
(1)
first-order method
(1)
momentum method
(1)
differential equation
(1)
ordinary differential equation
(1)
nesterov acceleration
(1)
geodesically convex optimization
(1)
metric distortion
(1)
geodesic convexity
(1)
positive semidefinite kernel
(1)
riemannian optimization
(1)
performance estimation problem
(1)
convex optimization
(1)
Papers
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels
NeurIPS 2023
Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions
ICML 2023
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
ICML 2022