Jiaxi Ying
13 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (7)
🗺️
Taxonomy Completionist
(22)
🌉
Interdisciplinary Bridge
🏆
Keyword Champion
🏆
Grand Slam
🧬
Topic Evolution
🔥
Unstoppable
(7)
💎
Century Club
(13)
🗃️
Keyword Collector
(55)
Conferences
NIPS (7)
ICML (2)
AAAI (1)
AISTATS (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
precision matrix estimation
(4)
gaussian graphical model
(4)
spectral constraint
(2)
graphical model
(2)
graph learning
(2)
graph laplacian
(2)
total positivity
(2)
precision matrix
(2)
l1 regularization
(1)
sparse optimization
(1)
graph structure
(1)
maximum likelihood estimation
(1)
adaptive regularization
(1)
graph clustering
(1)
passive-aggressive algorithm
(1)
sparse inverse covariance
(1)
spectral graph theory
(1)
gaussian markov random field
(1)
laplacian matrix
(1)
projected gradient descent
(1)
Papers
Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity
ICML 2025
Adaptive Passive-Aggressive Framework for Online Regression with Side Information
NIPS 2024
A Fast and Provable Algorithm for Sparse Phase Retrieval
ICLR 2024
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
NIPS 2023
Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition
NIPS 2023
Adaptive Estimation of Graphical Models under Total Positivity
ICML 2023
Learning Bipartite Graphs: Heavy Tails and Multiple Components
NIPS 2022
Efficient Algorithms for General Isotone Optimization
AAAI 2022
Minimax Estimation of Laplacian Constrained Precision Matrices
AISTATS 2021
Graphical Models in Heavy-Tailed Markets
NIPS 2021
A Unified Framework for Structured Graph Learning via Spectral Constraints
JMLR 2020
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model
NIPS 2020
Structured Graph Learning Via Laplacian Spectral Constraints
NIPS 2019