Louis Tiao

Louis Tiao

Research Scientist
My name is Louis Tiao, and I graduated from one of Australia’s top engineering schools with really good grades. Now, I’m using my knowledge to help up-and-coming tech companies make it in this competitive world.
Your second-worst review is probably all you need featured image

Your second-worst review is probably all you need

We analyze nine years of ICLR reviews and find that Reviewer 2 is not the problem.

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Louis Tiao
The Upper Confidence Bound in Disguise featured image

The Upper Confidence Bound in Disguise

We show that UCB is a quantile of the predictive distribution in disguise, elicitable by the pinball loss even though no scalar loss can elicit the moment formula directly. The …

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Louis Tiao

Three eras of my dotfiles

We tour a chezmoi-templated dotfiles setup that bootstraps a fresh machine in one command — terminal, shell, prompt, multiplexer, multi-environment templating, and the developer …

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Louis Tiao
Gaussian Process Regression in 9,000 Google Sheets Cell Formulas featured image

Gaussian Process Regression in 9,000 Google Sheets Cell Formulas

We implement a fully functional Gaussian Process regression pipeline — Cholesky decomposition, posterior predictions, and gradient-based hyperparameter optimization — in pure …

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Louis Tiao

📄 One paper accepted to ICML 2026

Our paper "Empirical Gaussian Processes" was accepted to ICML 2026.

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Louis Tiao
Empirical Gaussian Processes featured image

Empirical Gaussian Processes

We study Empirical GPs, a principled framework for constructing flexible, data-driven Gaussian process priors. By estimating mean and covariance directly from a corpus of …

Jihao Andreas Lin
Ax: A Platform for Adaptive Experimentation featured image

Ax: A Platform for Adaptive Experimentation

We present Ax, an open-source platform for adaptive experimentation built on BoTorch. Off the shelf, Ax achieves state-of-the-art performance across a wide range of synthetic and …

Miles Olson

📄 One paper accepted to AutoML 2025

Our paper "Ax — A Platform for Adaptive Experimentation" was accepted to AutoML 2025 (ABCD Track).

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Louis Tiao

💼 Joined Meta CAS Adaptive Experimentation

Started as a Research Scientist at Meta on the Adaptive Experimentation team within Central Applied Science (CAS), based in New York City.

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Louis Tiao

🎓 PhD thesis completed

Submitted my PhD thesis, *Probabilistic Machine Learning in the Age of Deep Learning*, at the University of Sydney.

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Louis Tiao