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Yan Sun
Assistant Professor
,
New Jersey Institute of Technology
,
Mathematical Sciences
New Jersey Institute of Technology
2018
2026
Research activity per year
Overview
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Network
Research output
(14)
Fingerprint
Dive into the research topics where Yan Sun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Keyphrases
Neural Network
65%
Deep Neural Network
51%
Statistical Inference
51%
Dropout
40%
Stochastic Neural Networks
40%
Sparse Deep Neural Networks
31%
Stochastic Gradient
31%
Prediction Accuracy
30%
Markov Chain Monte Carlo Algorithm
28%
Deep Learning
23%
Markov Chain Monte Carlo
22%
Prediction Uncertainty
21%
Sparse Deep Learning
20%
Embedding Method
20%
Selection Accuracy
20%
Bayesian Variable Selection
20%
Neural Network Embedding
20%
Miscalibration
20%
Sufficient Dimension Reduction
20%
Irrelevant Variables
20%
Explanatory Variables
20%
Dimension Selection
20%
Response Variable
20%
Oracle Property
20%
Group Variable Selection
20%
Higher-order Interactions
20%
Miscellanea
20%
Training Trajectories
20%
Local Trap
20%
High-dimensional Regression Model
20%
Automated Process
20%
Analytical Characterization
20%
Spike-and-slab Prior
20%
Fiducial Inference
20%
Network Insight
20%
Sloppiness
20%
Variable Selection Method
20%
Model Comparison
20%
Generative Models
20%
Numerical Results
16%
Decoder
15%
Optimization Algorithm
15%
Machine Learning Tasks
13%
Bayesian Computation
13%
Uncertainty Quantification
13%
Large-scale Data
12%
Missing Data
11%
Global Optimum
11%
Mathematics
Neural Network
100%
Stochastics
87%
Deep Neural Network
56%
Markov Chain Monte Carlo
40%
Inferential Statistics
30%
Monte Carlo Algorithm
30%
Bayesian
23%
Deep Learning Method
20%
Bayesian Variable Selection
20%
Approximates
20%
Regression Model
20%
Response Variable
20%
Explanatory Variable
20%
Variance
20%
Irrelevant Variable
20%
Euclidean Space
20%
Relevant Variable
20%
Linear Models
20%
Probability
20%
Complex System
20%
Statistical Hypothesis Testing
10%
Inverse Function
10%
Data Imputation
10%
Parameter Estimation
10%
Wasserstein Distance
10%
Big Data
10%
Posterior Distribution
10%
Reduction Method
10%
Systems Theory
10%
Dimensional Manifold
10%
Correlation Matrix
10%
Training Data
10%
Manifold
10%
Eigenvalue
10%
Probability Distribution
10%
Dynamical System
10%
Regularization
10%
Frequentist
7%
Local Minimum
6%
Learning Task
5%
Random Error
5%
Inference Method
5%
Dimensional Data
5%
Numerical Analysis
5%
Reference Distribution
5%
Parameter Space
5%
Computer Science
Deep Neural Network
73%
Deep Learning Method
60%
markov chain monte-carlo
26%
Neural Network
24%
Stochastic Gradient Descent
22%
Probability
22%
Selection Dimension
20%
Time Series Data
20%
stochastic neural network
20%
Input Correlation Matrix
20%
Eigenvalue
20%
Leaning Parameter
20%
Regularization Method
20%
Kernel Machine
20%
Dynamical System
20%
Universal Approximation
20%
Embedding Space
20%
Training Data
20%
Dimensional Manifold
20%
Gradient Descent
20%
Posterior Distribution
20%
Machine Learning Technique
20%
Optimization Algorithm
20%
Large Scale Data
20%
Generative Model
20%
Dimension Reduction Method
13%
Feature Selection
10%
Sparse Learning
6%
Classification Problem
6%
Machine Learning
6%
Learning System
6%
Probabilistic Framework
6%
High Dimensional Data
6%
Regression Problem
6%
Hidden Information
6%
Leibler Divergence
6%
Point Estimate
5%
Conformal Prediction
5%
Natural Language Processing
5%
Recurrent Neural Network
5%
Model Compression
5%
