1 citations · 2 across the 3 of their papers we have counts for
5 papers
100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models
Yeounoh Chung, Rushabh Desai, Jian He +9
Several data warehouse and database providers have recently introduced extensions to SQL called AI Queries, enabling users to specify functions and conditions in SQL that are evalu…
LeanML: A Design Pattern To Slash Avoidable Wastes in Machine Learning Projects
Yves-Laurent Kom Samo
We introduce the first application of the lean methodology to machine learning projects. Similar to lean startups and lean manufacturing, we argue that lean machine learning (LeanM…
What Makes An Asset Useful?
Yves-Laurent Kom Samo, Dieter Hendricks
Given a new candidate asset represented as a time series of returns, how should a quantitative investment manager be thinking about assessing its usefulness? This is a key qualitat…
Stochastic Portfolio Theory: A Machine Learning Perspective
Yves-Laurent Kom Samo, Alexander Vervuurt
In this paper we propose a novel application of Gaussian processes (GPs) to financial asset allocation. Our approach is deeply rooted in Stochastic Portfolio Theory (SPT), a stocha…
String Gaussian Process Kernels
Yves-Laurent Kom Samo, Stephen Roberts
We introduce a new class of nonstationary kernels, which we derive as covariance functions of a novel family of stochastic processes we refer to as string Gaussian processes (strin…