Shuyu Dong

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Causal Discovery

Causal Structure

Distributed Learning

Compressive Sensing

Top Venues

SIAM J. Matrix Anal. Appl.

Publications

Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi
DCDILP: a distributed learning method for large-scale causal structure learning. CoRR (2024)
Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi, Michèle Sebag
High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition. CoRR (2022)
Shuyu Dong, Michèle Sebag
From graphs to DAGs: a low-complexity model and a scalable algorithm. CoRR (2022)
Shuyu Dong, Bin Gao, Wen Huang, Kyle A. Gallivan
On the analysis of optimization with fixed-rank matrices: a quotient geometric view. CoRR (2022)
Shuyu Dong, Bin Gao, Yu Guan, François Glineur
New Riemannian Preconditioned Algorithms for Tensor Completion via Polyadic Decomposition. SIAM J. Matrix Anal. Appl. 43 (2) (2022)
Shuyu Dong, Michèle Sebag
From Graphs to DAGs: A Low-Complexity Model and a Scalable Algorithm. ECML/PKDD (5) (2022)
Shuyu Dong, Bin Gao, Yu Guan, François Glineur
New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition. CoRR (2021)
Yu Guan, Shuyu Dong, Pierre-Antoine Absil, François Glineur
Alternating minimization algorithms for graph regularized tensor completion. CoRR (2020)
Shuyu Dong, Pierre-Antoine Absil, Kyle A. Gallivan
Preconditioned conjugate gradient algorithms for graph regularized matrix completion. ESANN (2019)
Shuyu Dong, Dorina Thanou, Pierre-Antoine Absil, Pascal Frossard
Learning sparse models of diffusive graph signals. ESANN (2017)