Chaobing Song
10 papers · 2017–2023 · 2 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🏃 Academic Marathon (6)
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Cross-Pollinator
(8)
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Century Club
(10)
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Keyword Collector
(50)
Conferences
NIPS (7)
ICML (3)
Top co-authors
Keywords
variance reduction
(6)
convex optimization
(5)
coordinate descent
(2)
composite optimization
(2)
stochastic gradient
(2)
stochastic optimization
(2)
first-order method
(2)
nonconvex optimization
(1)
variational inequality
(1)
feature learning
(1)
game theory
(1)
self-supervised learning
(1)
convergence analysis
(1)
primal-dual algorithm
(1)
representation learning
(1)
non-convex optimization
(1)
l1 regularization
(1)
numerical optimization
(1)
finite-sum optimization
(1)
wasserstein distance
(1)
Papers
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization
ICML 2023
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
ICML 2023
Coordinate Linear Variance Reduction for Generalized Linear Programming
NIPS 2022
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data
NIPS 2022
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions
NIPS 2022
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
ICML 2021
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization
NIPS 2020
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities
NIPS 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
NIPS 2020
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
NIPS 2017