February 2024
Optimal Transport for Structure Learning Under
Missing Data
Proceedings of the 41st International Conference on Machine Learning, 2024.
February 2024
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport.
Proceedings of the 41st International Conference on Machine Learning, 2024.
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport.
Proceedings of the 41st International Conference on Machine Learning, 2024.
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.