Archives for Dan Steinberg

Thu 01 January 2026 Causal Discovery in the Real World

Mon 01 January 2024 Active Generation — Generative Models for Black Box Optimisation

Sat 01 January 2022 Causal Inference — Machine Learning for Evidence-Based Policy

Wed 01 January 2020 Algorithmic Fairness — Fair Regression Algorithms

Mon 01 January 2018 Landshark — Large-Scale Spatial Inference with TensorFlow

Sun 01 January 2017 Aboleth — A TensorFlow Framework for Bayesian Deep Learning

Fri 01 January 2016 Revrand — Scalable Bayesian Generalised Linear Models

Mon 01 June 2015 The Impact of Computerisation and Automation on Future Employment

Thu 01 January 2015 Extended and Unscented Kitchen Sinks

Wed 01 January 2014 Nonparametric Bayesian Inverse Problems

Tue 01 January 2013 Unsupervised Scene “Understanding”

Sun 01 January 2012 Clustering Images Over Many Datasets

Sat 01 January 2011 Clustering Images of the Seafloor