Causal Inference and Data Fusion in Econometrics 2021/04/14 - 9:54am Academic Paper Causal Inference, Data Fusion, Econometrics, Applied Econometrics, Economic Sciences, Causality
Estimating Identifiable Causal Effects through Double Machine Learning 2021/04/14 - 9:40am Academic Paper Machine Learning, Double Machine Learning, DML, Causal Inference, Causality, Debiased Estimators
The Backward Art of Slowing the Spread? Congregation Efficiencies during COVID-19 2021/04/13 - 1:17am Academic Paper COVID19, Lockdowns, Public Policy, Health Policy
Michael Yeadon Interview - Former Pfizer VP Speaks Out On Dangers Of mRNA Vaccines & COVID Illusion 2021/04/13 - 12:51am Video COVID19, Public Policy, Health Policy, mRNA Vaccine, Lockdowns, Vaccines, Vaccine Safety
The Harms of Lockdowns, The Dangers of Censorship, And A Path Forward 2021/04/11 - 10:04pm Video COVID19, Public Policy, Health Policy, Lockdowns
COVID19 - Excess Mortality Data - Professor Michael Levitt Explains 2021/04/09 - 7:51pm Video COVID19, Public Policy, Health Policy, Excess Mortality
COVID-19 Library. Filling the Gaps 2021/04/08 - 10:12pm Academic Paper COVID19, Public Policy, Health Policy
Evaluating eligibility criteria of oncology trials using real-world data and AI 2021/04/08 - 7:58pm Academic Paper Artificial Intelligence, Machine Learning, Oncology Trials, Data Science, Health Policy
Simpson’s Paradox: A Singularity of Statistical and Inductive Inference 2021/03/31 - 10:54pm Academic Paper Causal Inference, Causality, Simpson’s Paradox, Statistical Inference, Inductive Inference, Machine Learning, Contingency Tables, Odds Ratio, Causal Graphs
Right evaluation of marketing stimuli with neuroscience. An electroencephalography experiment 2021/03/18 - 7:48pm Academic Paper Neuroscience, Cognitive Neuroscience, Marketing, Electroencephalography
Tell Me Who Your Friends Are: Using Content Sharing Behavior for News Source Veracity Detection 2021/03/18 - 7:43pm Academic Paper AI, Machine Learning, News Veracity, Fake News
Tailoring heuristics and timing AI interventions for supporting news veracity assessments 2021/03/18 - 7:41pm Academic Paper AI, Machine Learning, News Veracity, Fake News
Five points to check when comparing visual perception in humans and machines 2021/03/17 - 5:31pm Academic Paper Artificial Intelligence, Machine Learning, Visual Perception, Deep Visual-Semantic Alignments
Mental Models of Covid 19 2021/03/16 - 8:10pm External Course COVID19, Public Policy, Health Policy
Secret of Synchronization 2021/03/14 - 10:57am Video Synchronization, Data Science
Deep Learning Limitations and New Frontiers 2021/03/13 - 9:23am Video Deep Learning
Convolutional Neural Networks - Introduction 2021/03/13 - 9:21am Video Convolutional Neural Networks
Machine Learning Introduction 2021/03/13 - 9:18am Video Machine Learning
Deep Learning: A Crash Course 2021/03/13 - 9:13am Video Deep Learning, Neural Networks, Artificial Intelligence
Self-Supervised Learning: The Dark Matter of Intelligence 2021/03/11 - 11:26pm External Course Machine Learning, Self-Supervised Learning
COVID-19 Lockdown Policies: An Interdisciplinary Review 2021/03/10 - 12:09am Academic Paper COVID19, Lockdowns, Public Policy, Health Policy
Introduction to Coding Quantum Algorithms: A Tutorial Series Using Pyquil 2021/03/08 - 7:18pm External Course Quantum Algorithms, Pyquil, Quantum Computer
Introduction to Coding Quantum Algorithms: A Tutorial Series Using Qiskit 2021/03/08 - 7:12pm External Course Quantum Algorithms, Qiskit, Quantum Computer
An Atomic Boltzmann Machine Capable of On-chip Learning 2021/03/08 - 7:07pm Academic Paper Boltzmann Machine, Neural Networks, Self-adaption, Machine Learning Algorithms
Stay-at-home policy is a case of exception fallacy: an internet-based ecological study 2021/03/08 - 10:12am Academic Paper COVID19, Public Policy, Health Policy, Lockdowns
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution 2021/03/07 - 10:38am External Course Machine Learning, Causality, Causal Inference
The Mechanical Basis of Memory – the MeshCODE Theory 2021/03/03 - 9:22am Academic Paper Human Brain, Memory, MeshCODE Theory, Mind, Organic Supercomputer
Probabilistic Causation 2021/03/02 - 9:48pm External Course Probabilistic Causation, Causal Inference, Applied Probability, Probabilistic Logic, Machine Learning
Academic Freedom in Crisis: Punishment, Political Discrimination, and Self-Censorship 2021/03/02 - 4:50pm Academic Paper Academic Freedom, Political Discrimination, Self-Censorship, Censorship, Corruption, Crisis in Science
New Task Allocation Methods for Robotic Swarms 2021/03/01 - 10:15pm Academic Paper Swarm Strategy, Task Allocation, Optimal Mass Transport Theory, Light-based Task Allocation, Gossip-based Task Allocation
Towards Causal Representation Learning 2021/03/01 - 8:57am Academic Paper Machine Learning, Causal Representation Learning, Causality, Causal Inference, Deep Neural Networks
Nonlinear Invariant Risk Minimization: A Causal Approach 2021/03/01 - 8:52am Academic Paper Machine Learning, Nonlinear Invariant Risk Minimization, Causality, Invariant Causal Representation Learning, ICRL
Bayesian Quadrature on Riemannian Data Manifolds 2021/03/01 - 8:47am Academic Paper Machine Learning, Bayesian Quadrature, Riemannian Data Manifolds
Best Geopolitical Documentary Ever to Explain the Why? of Coronavirus 2021/02/27 - 5:52pm Video COVID19, Public Policy, Health Policy
The Effect of NFL and NCAA Football Games on the Spread of COVID-19 in the United States: An Empirical Analysis 2021/02/26 - 7:32am Academic Paper COVID19, Public Policy, Health Policy, Lockdowns, NFL, Football
Traffic signal optimization on a square lattice with quantum annealing 2021/02/23 - 5:04pm Academic Paper Quantum Computing, Quantum Algorithm, Quantum Annealing, Traffic Management System, Intelligent Transportation Systems
How to represent part-whole hierarchies in a neural network 2021/02/21 - 10:35pm Academic Paper Artificial Intelligence, Machine Learning, Neural Networks, Part-whole Hierarchies, GLOM
CAUSAL INFERENCE IN STATISTICS - A PRIMER 2021/02/19 - 8:50pm External Course Causal Inference, Causal Interpretation, Causal Inference Methods, Causality, Bayesian Statistics, Statistical Analysis
Causal Inference: What If 2021/02/19 - 8:43pm External Course Causal Inference, Causal Interpretation, Causal Inference Methods, Causality
Florida Wins the Lockdown Science War - Hands Down 2021/02/18 - 12:01pm Video COVID19, Public Policy, Health Policy, Lockdowns, Masks
Adversarial Vulnerabilities of Human Decision-making 2021/02/17 - 4:47pm Academic Paper Machine Learning, Recurrent Neural Networks, Reinforcement Learning, Decision-making, Algorithm Decision Making, Cognitive Science, Human Decision Making
IntSGD: Floatless Compression of Stochastic Gradients 2021/02/17 - 4:13pm Academic Paper Machine Learning, Stochastic Gradient Descent, IntSGD, Floatless Compression, Stochastic Gradients
CTAB-GAN: Effective Table Data Synthesizing 2021/02/17 - 4:09pm Academic Paper Machine Learning, CTAB-GAN, Table Data Synthesizing, Generative Adversarial Networks
A Hybrid Approach for Reinforcement Learning Using Virtual Policy Gradient for Balancing an Inverted Pendulum 2021/02/17 - 4:06pm Academic Paper Machine Learning, Reinforcement Learning, Policy Gradient Algorithm, Robotics
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies 2021/02/17 - 4:03pm Academic Paper Machine Learning, Biomedical QA, Entity-Aware Masking Strategies, Information Retrieval
A Multi-disciplinary Ensemble Algorithm for Clustering Heterogeneous Datasets 2021/02/17 - 3:57pm Academic Paper Machine Learning, Clustering, Multi-disciplinary Ensemble Algorithm, Heterogeneous Datasets
Two-step Machine Learning Approach for Channel Estimation with Mixed Resolution RF Chains 2021/02/17 - 3:53pm Academic Paper Signal Processing, Machine Learning, Massive MIMO, Multi-antenna, Greedy, Iterative, Quantized Precoding Algorithm, MAGIQ
Revisiting Design Choices in Proximal Policy Optimization 2021/02/17 - 3:47pm Academic Paper Machine Learning, Design Choices, Proximal Policy Optimization
Interpolating Classifiers Make Few Mistakes 2021/02/17 - 3:39pm Academic Paper Classifiers, Interpolating Classifiers, Machine Learning, Statistics, Minimum-norm Interpolating Classifiers, Reproducing Kernel Hilbert Space
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty 2021/02/17 - 3:34pm Academic Paper Data-Driven Control Synthesis, Nonlinear Systems, Actuation Uncertainty, Robotics, Nonlinear Control Theory, Control Certificate Functions