Decision Intelligence
Decision intelligence is an engineering discipline that augments data science with theory from social science, decision theory, and managerial science. Its application provides a framework for best practices in organizational decision-making and processes for applying machine learning at scale. The basic idea is that decisions are based on our understanding of how actions lead to outcomes. Decision intelligence is a discipline for analyzing this chain of cause and effect, and decision modeling is a visual language for representing these chains. A related field, decision engineering, also investigates the improvement of decision-making processes but is not always as closely tied to data science. …

Pix2Vex
We present a novel approach to 3D object reconstruction from its 2D projections. Our unique, GAN-inspired system employs a novel $C^\infty$ smooth differentiable renderer. Unlike the state-of-the-art, our renderer does not display any discontinuities at occlusions and dis-occlusions, facilitating training without 3D supervision and only minimal 2D supervision. Through domain adaptation and a novel training scheme, our network, the Reconstructive Adversarial Network (RAN), is able to train on different types of images. In contrast, previous work can only train on images of a similar appearance to those rendered by a differentiable renderer. We validate our reconstruction method through three shape classes from ShapeNet, and demonstrate that our method is robust to perturbations in view directions, different lighting conditions, and levels of texture details. …

Morpheo
Morpheo is a transparent and secure machine learning platform collecting and analysing large datasets. It aims at building state-of-the art prediction models in various fields where data are sensitive. Indeed, it offers strong privacy of data and algorithm, by preventing anyone to read the data, apart from the owner and the chosen algorithms. Computations in Morpheo are orchestrated by a blockchain infrastructure, thus offering total traceability of operations. Morpheo aims at building an attractive economic ecosystem around data prediction by channelling crypto-money from prediction requests to useful data and algorithms providers. Morpheo is designed to handle multiple data sources in a transfer learning approach in order to mutualize knowledge acquired from large datasets for applications with smaller but similar datasets. …

Lifelong Bayesian Optimization (LBO)
Automatic Machine Learning (Auto-ML) systems tackle the problem of automating the design of prediction models or pipelines for data science. In this paper, we present Lifelong Bayesian Optimization (LBO), an online, multitask Bayesian optimization (BO) algorithm designed to solve the problem of model selection for datasets arriving and evolving over time. To be suitable for Lifelong Bayesian Optimization, an algorithm needs to scale with the ever-increasing size of the dataset, and should be able to leverage past optimizations in learning the current best model. We cast the problem of model selection as a black-box function optimization problem. In LBO, we exploit the correlation between functions by using components of previously learned functions to speed up the learning process for newly arriving datasets. Experiments on real and synthetic data show that LBO outperforms standard BO algorithms applied repeatedly on the data. …