Categories

• ♠️ Math - Mathematical insights and theory
• 📢 Updates - Research progress and announcements
• 🌏 Locations - Travel, conferences, and academic meetings

Updates:

• 2026-01-24: Excited to share that our paper on “Adversarially Robust Learning-to-Defer for Classification and Regression” has been accepted to AISTATS 2026! Looking forward to presenting our work at the conference.

• 2025-10-17: The preprint of our work on “Adversarial Robustness in One-Stage Learning-to-Defer” is now available on arXiv: https://arxiv.org/abs/2510.10988.

My Recent Blogs

• AR(1) Process and properties - A brief overview of the AR(1) process and its key properties.

SWE Resources

• An excellent explanation of how the game loop works

AI/ML Resources

• Best explanation of back propagation
• CS189: Intro to ML

Learning to Defer

• Overview of Learning to Defer

Research Resources

• NUS SoC Cluster Guide(Need NUS Comp Account)
• My Cluster Guide
• My Note on Torch

New Era

• Claude Agent Team
• On Feb 2026: Will we be the last generation of HUMAN?

Nostalgia

• Turbo

AI and Us

• EU: Ethics guidelines for trustworthy AI

Anthropic

• How we communicate: Nonviolent Communication

TED Talks

• How to build on top of existing system: inspired from marshmellow challenge

February 2026

• Mon Feb 23: I find an awesome explanation on call back and also it’s relation to closure in swift

• Tue Feb 24: Dependency injection