JqVicky

- PhD @ MIT. LIDS, EECS Dept. - Undergrad @ PKU. Stats, Math Dept. - Interests: causality x sequential decision making in bio.

Cambridge

Pinned Repositories

actlearn_optint
Active learning for optimal intervention design in causal models
Language:Jupyter Notebook0 0 00
Bayesian-Statistics-Course-Project
The project for Bayesian Statistics (2019 Spring PKU)
Language:MATLAB00
causal_mean_matching
Language:Python00
DomainBed
DomainBed is a suite to test domain generalization algorithms
Language:Python00
JqVicky.github.io
Language:SCSS0 1 00
Variational-Autoencoder-PyTorch
Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
Language:Python00
6.S091-causality-2024
Language:Python40
actlearn_optint
Active learning for optimal intervention design in causal models
Language:Jupyter Notebook11 2 13
causal_mean_matching
Language:Python5 1 01
discrepancy_vae
code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions
Language:Jupyter Notebook101

JqVicky's Repositories

JqVicky/actlearn_optint
Active learning for optimal intervention design in causal models
Language:Jupyter Notebook0 0 00
JqVicky/Bayesian-Statistics-Course-Project
The project for Bayesian Statistics (2019 Spring PKU)
Language:MATLAB00
JqVicky/causal_mean_matching
Language:Python00
JqVicky/DomainBed
DomainBed is a suite to test domain generalization algorithms
Language:Python00
JqVicky/JqVicky.github.io
Language:SCSS0 1 00
JqVicky/Variational-Autoencoder-PyTorch
Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
Language:Python00