Recent Posts
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Data Distillation from An Experimental Design Perspective
Data Distillation and DoE
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Principled Experimentation: Planning, Modeling and Inference
A Principled Experimentation for Data Science
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Point Cloud Data: What and Why
Intro to Point Clouds in Data Science
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Graphical Neural Networks: Insights from a Data Science Perspective
A Data Science Perspective to Graphical Neural Networks
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Do-AIQ: A DoE Approach to AI Quality Assurance
A DoE Approach to AI Quality Assurance
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Dropout Buyers in Large-scale Online Experimentation
Large-scale Online Experimentation
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Statistical Perspectives on AI Reliability
Statistical Perspectives on AI Reliability
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Self-supervised cross validation: embracing data generation structure
Self-supervised cross validation
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Overview of Active Learning Algorithms
Overview of Active Learning Algorithms
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Towards Data Science: To Be or Not to Be a Statistician
Towards Data Science: To Be or Not to Be
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From Robust Parameter Design to AI Fairness
From RPD to AI Fairness
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Beyond A/B Testing
Online Experiments Beyond A/B Testing.
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Robustness of AI Algorithm
Discussion on the robustness of AI algorithms