February 2024
Optimal Transport for Structure Learning Under
Missing Data
June 2023
Optimal Transport for Causal Discovery
This is a summary of the paper Optimal Transport For Causal Discovery (Tu et al., 2022).
Optimal Transport for Causal Discovery
This is a summary of the paper Optimal Transport For Causal Discovery (Tu et al., 2022).
May 2023
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023.
Best Student Research Paper Award
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023.
Best Student Research Paper Award
January 2023
An Additive Instance-Wise Approach to Multi-class Model Interpretation
Proceedings of the 11th International Conference on Learning Representations, 2023.
An Additive Instance-Wise Approach to Multi-class Model Interpretation
Proceedings of the 11th International Conference on Learning Representations, 2023.
September 2021
Causal Data Science: A Beginner Guide
A Handbook on Applying Causal Inference in Business (In progress).
Causal Data Science: A Beginner Guide
A Handbook on Applying Causal Inference in Business (In progress).
August 2021
Inside an Artifical Brain
I explain the intuition behind important building blocks of an artificial brain that are fundamental to human cognition.
Inside an Artifical Brain
I explain the intuition behind important building blocks of an artificial brain that are fundamental to human cognition.
July 2021
Generalized Score Functions for Causal Discovery
This is a summary of the paper Generalized Score Functions for Causal Discovery (Huang et al., 2018).
Generalized Score Functions for Causal Discovery
This is a summary of the paper Generalized Score Functions for Causal Discovery (Huang et al., 2018).
May 2021
How Machines Are Taught
Leaving those mathematical fuzz aside, I am urged to take one step away from the mainstream and rethink how machines learn.
How Machines Are Taught
Leaving those mathematical fuzz aside, I am urged to take one step away from the mainstream and rethink how machines learn.
April 2021
Assumptions of Linear Models
I explain the assumptions underlying Linear Regression, an old-school machine learning model but widely used today.
Assumptions of Linear Models
I explain the assumptions underlying Linear Regression, an old-school machine learning model but widely used today.