JIAJIN LI
16 papers · 2018–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (34) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
(82)
Top co-authors
Research topics
Machine Learning
(15)
Mathematics & Optimization
(11)
Optimization
(11)
Optimization & Theory
(10)
Core Methods
(6)
Learning Types · Machine Learning
(6)
Deep Learning
(5)
Application Areas
(3)
Architectures
(3)
Reinforcement Learning
(2)
Models
(2)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Keywords
distributionally robust optimization
(5)
optimal transport
(5)
graph neural network
(3)
wasserstein distance
(3)
non-convex optimization
(2)
martingale constraint
(2)
reinforcement learning
(2)
anomaly detection
(1)
mean estimation
(1)
variational inference
(1)
probability distribution
(1)
graph generation
(1)
wavelet transform
(1)
minimax optimization
(1)
graph matching
(1)
value function
(1)
kalman filter
(1)
graph clustering
(1)
markov decision process
(1)
outlier detection
(1)
Papers
Automatic Outlier Rectification via Optimal Transport
NeurIPS 2024
Stability Evaluation through Distributional Perturbation Analysis
ICML 2024
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
ICLR 2023
Learning Proximal Operators to Discover Multiple Optima
ICLR 2023
Outlier-Robust Gromov-Wasserstein for Graph Data
NeurIPS 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization
NeurIPS 2023
Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints
AISTATS 2023
Rethinking Graph Neural Networks for Anomaly Detection
ICML 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints
NeurIPS 2022
Deconvolutional Networks on Graph Data
NeurIPS 2021
Modified Frank Wolfe in Probability Space
NeurIPS 2021
Dirichlet Graph Variational Autoencoder
NeurIPS 2020
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine
NeurIPS 2020
The Gambler's Problem and Beyond
ICLR 2020
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression
NeurIPS 2019
Policy Optimization with Second-Order Advantage Information
IJCAI 2018