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Chi Jin
Electrical and Computer Engineering
Former affiliation
Center for Statistics & Machine Learning
915
Citations
Source: Scopus
14
h-Index
Calculated based on no. of publications stored in Pure and citations from Scopus
2012
2022
Research activity per year
Overview
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Network
Projects
(2)
Research output
(29)
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(6)
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Dive into the research topics where Chi Jin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
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Mathematics
Ascent
29%
Competitive Learning
24%
Computing
18%
Confidence Set
6%
Converge
10%
Convergence Rate
7%
Descent Algorithm
7%
Efficient Algorithms
6%
Formulation
5%
Framework
10%
Game
12%
Geometric Analysis
18%
Global Convergence
38%
Gradient
6%
Gradient Algorithm
6%
Gradient Descent
100%
Horizon
7%
Iteration
12%
Knowledge
13%
Latent Variable Models
6%
Learning
20%
Learning Control
6%
Limit Point
5%
Local Convergence
6%
Local Minima
33%
Local Optimality
18%
Local Search Algorithm
6%
Low-rank Matrices
6%
Machine Learning
30%
Markov Decision Process
22%
Matrix Completion
19%
Maximin
6%
Minimax
13%
Minimax Optimization
22%
Minimax Problems
17%
Multiagent Learning
9%
Nonconvex Optimization
27%
Nonconvex Problems
11%
Numerical Linear Algebra
15%
Online Algorithms
5%
Optimization
21%
Optimization Algorithm
10%
Orthogonal Decomposition
11%
Performance
5%
Policy
22%
Positive definite
5%
Positive definite matrix
12%
Principal Component Analysis
14%
Privacy
5%
Query
13%
Rate of Convergence
9%
Reinforcement Learning
55%
Reward
18%
Saddle
10%
Saddlepoint
33%
Sensing
12%
Stationary point
14%
Stochastic Gradient
24%
Streaming
18%
Tensor Decomposition
20%
Time Scales
6%
Training
13%
Unknown
10%
Update
6%
Value Iteration
7%
Engineering & Materials Science
Boolean functions
5%
Classifiers
9%
Decomposition
10%
Deep learning
6%
Eigenvalues and eigenfunctions
34%
Experiments
7%
Factorization
6%
Feedback
10%
Hardness
9%
Learning algorithms
11%
Linear algebra
35%
Linear systems
7%
Machine learning
53%
Markov processes
35%
Newton-Raphson method
7%
Polynomials
34%
Principal component analysis
13%
Reinforcement learning
87%
Set theory
7%
Statistics
10%
Tensors
13%
Transfer learning
16%
