Tian Tong
5 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(4)
🐝
Cross-Pollinator
(8)
Conferences
JMLR (2)
AISTATS (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
scaled gradient descent
(3)
nonconvex optimization
(2)
low-rank tensor
(2)
tensor completion
(2)
tucker decomposition
(2)
spectral initialization
(2)
gradient descent
(1)
tensor regression
(1)
low-rank matrix estimation
(1)
ill-conditioned matrix
(1)
low-rank tensor estimation
(1)
matrix completion
(1)
low-rank matrix
(1)
robust principal component analysis
(1)
low-rank representation
(1)
Papers
Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection
UAI 2025
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
ICML 2024
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion
AISTATS 2022
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements
JMLR 2022
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent
JMLR 2021