A few colleagues and I have just put on arXiv a new survey paper on Private Graph Data Release, which took us nearly 9 months to write. Here’s the abstract: The application of graph analytics to various domains have yielded tremendous societal and economical benefits in recent years. However, the increasingly widespread adoption of graph … More Private Graph Data Release using Differential Privacy
One of my PhD students has just released a paper titled Spatially Invariant Unsupervised 3D Object Segmentation Using Graph Neural Networks. Here’s the abstract: In this paper, we tackle the problem of unsupervised 3D object segmentation from a point cloud without RGB information. In particular, we propose a framework, SPAIR3D, to model a point cloud … More Unsupervised 3D Object Segmentation
A friend sent me Safi Bahcall’s book “Loonshots: How to Nurture the Crazy Ideas that Win Wars, Cure Disease, and Transform Industries” a couple of months ago. It’s a fascinating book with many interesting ideas and stories, the most important of which is (arguably) the Innovation Equation, a model that seeks to explain, in a … More Safi Bahcall’s Innovation Equation
A little while ago, a colleague asked why we as a research community care so much about cryptography systems that are based on lattice problems. I didn’t have a good answer at the time but I have been reading these past couple of weeks and here’s what I now know. There are a few ways … More Some Notes on Lattice-based Cryptography
While going through some old documents this week, I rediscovered a set of notes I took while reading Michael Porter many years ago. On rereading the notes, I find (again) his ideas to be really simple and compelling, worthy of sharing as a mental model for both practising data scientists and a value investors. A … More Understanding Industry Structure and Competition
I am sometimes asked what is the difference between Machine Learning (ML) and X, where X is one of a number of things like Statistics, Evolutionary Computing, Control Theory, etc. A variation of the question is what are problem classes that can be tackled by both ML and non-ML techniques, and what are the pros … More Machine Learning: A Broad Church
Boredom is the mother of creativity: fun that doesn’t cost a cent. Teddy bear logic: A breath of fresh air. An unexpected victim. The Anzac spirit lives on.
My former postdoc Lingjuan Lyu has been working with a few research collaborators on a fair and privacy-preserving federated deep-learning framework and a paper describing the framework has just been published at the IEEE Transactions on Parallel and Distributed Systems. Here’s the paper details: Title: Towards Fair and Privacy-Preserving Federated Deep Models Abstract: The current … More Towards Fair and Privacy-Preserving Federated Deep Learning Models
When the GFC happened, I was managing so little money the whole thing was a non-event for me. Sure enough, I experienced swings in emotion but my losses and gains from that period barely registered in my current balance sheet. So going into this crisis, I was determined to make it count. I have made … More Have You Been Panic Buying?
Effective decision-making is one of those skills that separates good leaders from the more ordinary leaders. In this post, I summarise a few lessons I learned from good leaders I have had the privilege to work for in the past. These decision-making principles have served me well in the last couple of years as I … More Some Decision-Making Principles