Resources

Understanding Machine Learning - From Theory to Algorithms - Textbook 2022/01/14 - 5:54am External Course Machine Learning, Shai Shalev-Shwartz, Shai Ben-David
Foundations of Data Science - Textbook 2022/01/14 - 3:32am External Course Data Science, Textbook
Introduction to Graphical Models and Bayesian Networks 2022/01/13 - 4:13pm External Course Graphical Models, Bayesian Networks, Applied Probability, Probabilistic Causation, Causal Inference
Introduction to Probability 2022/01/12 - 8:18am External Course Probability Theory, Applied Probability, Probabilistic Causation, Causal Inference
Survey of Monte Carlo Tree Search Methods 2022/01/11 - 8:27pm External Course Monte Carlo Tree Search, Markov Chain Monte Carlo, Guided Monte Carlo Tree Search, Monte Carlo Simulations, Bandit-based Methods, Artificial Intelligence
The Causal Foundations of Applied Probability and Statistics 2022/01/09 - 7:37pm External Course Probabilistic Logic, Probability Theory, Causality, Causal Inference, Applied Probability, Statistics
Introduction to Probabilities, Graphs, and Causal Models 2022/01/08 - 7:46pm External Course Applied Probability, Causal Data Science, Causal Graphical Models
Testimony of Dr. Mike Yeadon: January 7, 2022 2022/01/08 - 12:34pm Video COVID19, Public Policy, Health Policy, mRNA Vaccines, Vaccines, Dr. Mike Yeadon
Secure the Data, Not the Device: How Decentralized File Storage Creates Resilience Against the Risk of Ransomware Attacks 2022/01/08 - 12:22pm External Course Data Security, Data Engineering, Cyber Security
Using Bayesian Optimization to Tune Machine Learning Models 2021/12/29 - 3:07pm External Course Bayesian Optimization, Machine Learning Models, Bayesian, Machine Learning
Why Machine Learning Algorithms Fall Short 2021/12/29 - 2:40pm External Course Data Science, Machine Learning Algorithms, Machine Learning, Self-learning Systems
A causal Bayesian network approach for consumer product safety and risk assessment 2021/12/28 - 9:36pm Academic Paper Public Policy, Regulation, RAPEX, Bayesian Network, Product Safety, Risk Assessment, Product Risk
Why scatter plots suggest causality, and what we can do about it 2021/12/27 - 5:33pm Academic Paper Correlation, Causation, Data Visualization, Scatter Plots, Diamond Plots, Causal Analysis, Causal Inference
Ivermectin Prophylaxis Used for COVID-19 Reduces COVID-19 Infection and Mortality Rates: A City-Wide, Prospective Observational Study of 220,517 Subjects Using Propensity Score Matching 2021/12/24 - 5:26pm Academic Paper COVID19, Public Policy, Health Policy, Ivermectin, Repurposed Drugs
mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review 2021/12/18 - 2:47pm Academic Paper Artificial Intelligence, Health care, Public Policy, Mobile Health, Gestational Diabetes, mHealth
Latest statistics on England mortality data suggest systematic mis-categorisation of vaccine status and uncertain effectiveness of Covid-19 vaccination 2021/12/17 - 3:29pm Academic Paper COVID19, Public Policy, Health Policy, Age-stratified All-cause Mortality Risk, Vaccines, Risk Assessment
Pfizer Adverse Events Report 2021/12/16 - 12:29pm External Course COVID19, Public Policy, Health Policy, mRNA Vaccines, Vaccines, Clinical Trial Design, Evidence Hierarchy
The Pfizer Inoculations Do More Harm Than Good 2021/12/16 - 12:21am External Course COVID19, Public Policy, Health Policy, mRNA Vaccines, Vaccines, Clinical Trial Design, Evidence Hierarchy
How bad data quality can turn a simulation into a dissimulation that shapes the future 2021/12/14 - 1:28pm External Course COVID19, Health Policy, Public Policy, Data Quality, Black Box Models, Bad Models, Origins of SARS-CoV-2, Epidemiology, Non-pharmaceutical Interventions, Mitigation Strategies
Causally Colored Reflections on Leo Breiman’s “Statistical Modeling: The Two Cultures” 2021/12/14 - 8:39am External Course Statistical Analysis, Data Interpretation, Causal Analysis, Causality, Data Fusion, Missing Data, Counterfactuals
Statistical Modelling in the Age of Data Science 2021/12/14 - 6:03am External Course Statistical Analysis, Data Interpretation, Causal Analysis, Causality, Data Fusion, Missing Data, Counterfactuals, Causal Machine learning, Double Machine Learning, Targeted Learning
Statistical Modeling The Two Cultures 2021/12/14 - 3:36am External Course Statistical Modeling, Data Science, Statistical Analysis, Data Interpretation, Causal Analysis, Causality, Data Fusion, Missing Data, Counterfactuals
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias 2021/12/13 - 10:42pm Academic Paper Machine Learning, Variational Autoencoders, Low-dimensional Data
Beyond Ads: Sequential Decision-Making Algorithms in Public Policy 2021/12/13 - 10:39pm Academic Paper Machine Learning, Algorithm Decision Making, Sequential Decision-Making Algorithms, Public Policy
BScNets: Block Simplicial Complex Neural Networks 2021/12/13 - 10:36pm Academic Paper Machine Learning, BScNets, Simplicial Neural Networks, Graph Convolutional Networks
Investigation of Quantum Support Vector Machine for Classification in NISQ era 2021/12/13 - 10:32pm Academic Paper Quantum Algorithms, Quantum Computing, Classification, Quantum Support Vector Machine
Causal Identification with Matrix Equations 2021/12/12 - 9:12pm Academic Paper Causality, Causal Inference, Causal Effect Identification Algorithm
Deep Learning based Framework for Automatic Diagnosis of Glaucoma based on analysis of Focal Notching in the Optic Nerve Head 2021/12/12 - 8:34pm Academic Paper Artificial Intelligence, Machine Learning, Health Technology, Computer Vision, Pattern Recognition, Glaucoma
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis 2021/12/12 - 8:31pm Academic Paper Artificial Intelligence, Machine Learning, General Reachability Analysis
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series 2021/12/12 - 8:28pm Academic Paper Artificial Intelligence, Machine Learning, Visual Analytics, Anomalies, Anomaly Detection
Causal Knowledge Guided Societal Event Forecasting 2021/12/12 - 8:24pm Academic Paper Artificial Intelligence, Machine Learning, Forecasting
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions 2021/12/12 - 8:20pm Academic Paper Artificial Intelligence, Machine Learning, Ethics, Fairness
John Ioannidis - Where are we now with COVID19? 2021/12/12 - 7:52pm Video COVID19, Public Policy, Health Policy, John Ioannidis
Performance of the SARS-CoV-2 RT-PCR test as a tool for detecting SARS-CoV-2 infection in the population 2021/12/12 - 7:09pm External Course COVID19, Public Policy, Health Policy, SARS-CoV-2, RT-PCR Test, Infectious Potential, Laboratory Quality Assurance, Kary Mullis, Cycle Threshold Values
Nested Counterfactual Identification from Arbitrary Surrogate Experiments 2021/12/12 - 1:56pm External Course Causality, Causal Inference, Ladder of Causation, Counterfactual Reasoning, Counterfactual Unnesting Theorem
The Line Dividing Good & Evil 2021/12/10 - 7:26pm Video Ethics, COVID19, Public Policy, Health Policy
Ownership and Creativity in Generative Models 2021/12/04 - 4:21pm Academic Paper Artificial Intelligence, Machine Learning, Ownership, Legal, Intellectual Property
The MAIEI Learning Community Report 2021/12/04 - 4:18pm Academic Paper Artificial Intelligence, Machine Learning, Data Driven Society, Ethics
A Fast Knowledge Distillation Framework for Visual Recognition 2021/12/04 - 4:12pm Academic Paper Artificial Intelligence, Machine Learning, Graphics, Robotics, Computer Vision, Pattern Recognition
Recognizing Scenes from Novel Viewpoints 2021/12/04 - 4:08pm Academic Paper Artificial Intelligence, Machine Learning, Graphics, Robotics, Computer Vision, Pattern Recognition
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras 2021/12/04 - 3:56pm Academic Paper Artificial Intelligence, Machine Learning, GLAMR: Global Occlusion-Aware Human Mesh Recovery, Dynamic Cameras, Graphics, Robotics
Bayesian hypothesis testing and hierarchical modelling of ivermectin effectiveness in treating Covid-19 2021/12/04 - 12:08pm Academic Paper COVID19, Public Policy, Health Policy, Bayesian Hypothesis Testing, Ivermectin, Bayesian Data Analysis
Generalizing Clinical Trials with Convex Hulls 2021/12/04 - 6:29am Academic Paper Causal Inference, Cross-design Synthesis, Randomized Clinical Trial, Observational Data
Sequential Causal Imitation Learning with Unobserved Confounders 2021/12/02 - 10:17pm Academic Paper Imitation Learning, Inverse Reinforcement Learning, Sequential Causal Imitation Learning, Unobserved Confounders
Canonical Capsules: Self-Supervised Capsules in Canonical Pose 2021/11/24 - 8:46pm Video Machine Learning, Unsupervised Representation Learning, Self-supervised Capsule Architecture, 3D Point Clouds, Canonical Capsules, Self-Supervised Capsules, Canonical Pose
Canonical Capsules: Self-Supervised Capsules in Canonical Pose 2021/11/24 - 8:44pm Academic Paper Machine Learning, Unsupervised Representation Learning, Self-supervised Capsule Architecture, 3D Point Clouds, Canonical Capsules, Self-Supervised Capsules, Canonical Pose
Worldwide Bayesian Causal Impact Analysis of Vaccine Administration on Deaths and Cases Associated with COVID-19: A BigData Analysis of 145 Countries 2021/11/23 - 4:58pm Academic Paper COVID19, Public Policy, Health Policy, Causality, Vaccines, Gene Therapy, mRNA Vaccines
Green Pass and COVID-19 Vaccine Booster Shots in Israel – A More ‘Realistic’ Empirical Assessment Analyzing the National Airport Data 2021/11/19 - 11:56am Academic Paper COVID19, Public Policy, Health Policy, mRNA Vaccines, Vaccines
Analysing Covid Vaccine Efficiency and Safety Statistics 2021/11/18 - 8:43pm External Course COVID19, Public Policy, Health Policy, mRNA Vaccines, Vaccines
Magnetic resonance-based eye tracking using deep neural networks 2021/11/13 - 5:31pm Academic Paper Artificial Intelligence, Magnetic Resonance-based Eye Tracking, Deep Neural Networks

Pages