Qing Tao
5 papers · 2010–2023 · 4 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (13)
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Cross-Pollinator
(9)
🏆
Grand Slam
📈
Trend Setter
Conferences
AAAI (2)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
constrained optimization
(2)
classification
(1)
multi-instance learning
(1)
kernel principal component analysis
(1)
weakly supervised learning
(1)
convergence analysis
(1)
numerical optimization
(1)
matrix approximation
(1)
concave-convex procedure
(1)
structured sparsity
(1)
false positive
(1)
constrained concave-convex procedure
(1)
false positive detection
(1)
euclidean projection
(1)
strongly convex optimization
(1)
support vector machine
(1)
sparse model
(1)
doubly stochastic matrix
(1)
semismooth newton method
(1)
bfgs method
(1)
Papers
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation
AAAI 2023
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization
AAAI 2021
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods
ICLR 2021
Semismooth Newton Algorithm for Efficient Projections onto $\ell_1, ∞$-norm Ball
ICML 2020
Avoiding False Positive in Multi-Instance Learning
NIPS 2010