Resources

The Peril of Politicizing Science 2021/06/14 - 11:52am External Course Data Science, Crisis in Science, Politicization
Foundations of Data Science - Textbook 2021/06/11 - 4:55pm External Course Data Science, Textbook
Understanding Machine Learning - From Theory to Algorithms - Textbook 2021/06/11 - 6:54am External Course Machine Learning, Shai Shalev-Shwartz, Shai Ben-David
Introduction to Probability 2021/06/11 - 4:18am External Course Probability Theory, Bayesian Probability, Probability
Information Theory, Inference and Learning Algorithms 2021/06/10 - 11:01pm External Course Information Theory, Inference, Learning Algorithms, Algorithms, Probability, Entropy, Neural Networks, Sparse Graph Codes
Bayesian Inference in Monte Carlo Tree Search 2021/06/10 - 9:34pm External Course Bayesian Inference, Monte Carlo Tree Search
Survey of Monte Carlo Tree Search Methods 2021/06/10 - 9:27pm External Course Monte Carlo Tree Search
Theory of Baum-Welch Algorithm and Hidden Markov Models 2021/06/10 - 1:38pm External Course Baum-Welch Algorithm, Hidden Markov Models, Algorithms, Markov
Building Machines That Learn and Think Like People 2021/06/10 - 11:39am External Course Artificial Intelligence, Intelligent Machines, Machine Learning
Probability and Risk in the Real World 2021/06/10 - 10:54am External Course Probabilistic Logic, Predictive Analytics, Risk Management, Tail Risks, Statistics, Asymmetries, Inferential Asymmetries, Fat Tails, Random Matrices
A Hidden Markov Model of Customer Relationship Dynamics 2021/06/10 - 10:19am External Course Hidden Markov Models, Customer Relationship Management, Buying Behavior, Marketing, Dynamic Choice Model, Segmentation, Bayesian Analysis, Data Science, Markov Decision Processes, Markov Logic Networks
What is Causal Inference? 2021/06/10 - 10:01am External Course Causality, Causal Inference, Artificial Intelligence
Algorithms for Inverse Reinforcement Learning 2021/06/07 - 1:03am External Course Artificial Intelligence, Machine Learning, Algorithms, Reinforcement Learning, Inverse Reinforcement Learning, Markov Decision Processes
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence 2021/06/07 - 12:47am External Course Artificial Intelligence, Machine Learning, Knowledge-driven, Reasoning-based Approach, Cognitive Models, Causality
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms 2021/06/07 - 12:40am External Course Artificial Intelligence, Machine Learning, Meta-Transfer Objective, Disentangle Causal Mechanisms, Causality
Sweden Pandemic Strategy Proved Right 2021/06/07 - 12:34am External Course COVID19, Public Policy, Health Policy, Sweden, Pandemic Strategy, Focused Protection
Necessity of COVID-19 Vaccination in Previously Infected Individuals: A Retrospective Cohort Study 2021/06/06 - 12:07pm Academic Paper COVID19, Public Policy, Health Policy, Vaccination, Immune Responses, Immune System
SARS-CoV-2 memory B-cells recognize variants 2021/06/04 - 12:22pm Academic Paper COVID19, Public Policy, Health Policy, Memory B-cells, Cellular Immune Response, Herd Immunity
Counterfactual Data Augmentation for Neural Machine Translation 2021/06/02 - 8:07pm Academic Paper Neural Machine Translation, NMT, Counterfactual Data Augmentation, Counterfactual Logic, GumbelMax Structural Causal Model
Continual Lifelong Learning with Neural Networks: A Review 2021/06/02 - 12:31am External Course Artificial Intelligence, Continual Learning, Continual Lifelong Learning, Neural Networks, Causality
Data Science - Part XIII - Hidden Markov Models 2021/05/26 - 11:16pm External Course Data Science, Hidden Markov Models
The Data Don't Speak for Themselves 2021/05/26 - 8:35pm External Course Data, Frameworks, Data Interpretation, Bias
Trading Performance for Stability in Markov Decision Processes 2021/05/26 - 2:59pm External Course Markov Decision Processes, Central Controller Synthesis Problems, Stochastic Dynamic Optimization
Infinite Latent Feature Models and the Indian Buffet Process 2021/05/26 - 2:11pm External Course Infinite Latent Feature Models, Indian Buffet Process
The Infinite Hidden Markov Model 2021/05/26 - 2:09pm External Course Infinite Hidden Markov Model, Hidden Markov Models
Factorial Hidden Markov Models 2021/05/26 - 2:08pm External Course Factorial Hidden Markov Models, Hidden Markov Models
Counterfactual Thinking: What Theories Do in Design 2021/05/25 - 8:31pm External Course Counterfactuals, Counterfactual Logic, Design Choices, Decision Theory
Audience Selection for On-line Brand Advertising - Privacy-friendly Social Network Targeting 2021/05/25 - 11:28am External Course Algorithms, Design, Experimentation On-line Advertising, Predictive Modeling, Social Networks, User-generated Content, Privacy
Mask mandate and use efficacy in state-level COVID-19 containment 2021/05/25 - 7:31am Academic Paper COVID19, SARS-CoV-2, Mask, Mask Mandate, Nonpharmaceutical Interventions
Characterizing Human Mobility Patterns in a Large Street Network 2021/05/24 - 9:53am External Course GPS, Human Mobility Patterns, Levy flight, Random Walk, Street Networks, Self-organized Natural Streets, GPS Trajectories
Grand Bargains for Big Data - The Emerging Law of Health Information 2021/05/23 - 9:29pm External Course Law, Health Information, Health care, Information Privacy Law
Neural Architecture Search with Reinforcement Learning 2021/05/23 - 11:34am External Course Neural Architecture Search, Reinforcement Learning, Evolutionary Computing
Geo-Social Networks - Mobile Ad Targeting 2021/05/23 - 8:24am External Course Geo-Social Networks, Mobile Ad Targeting, Advertising, Targeted Online Advertising
Circulating SARS-CoV-2 Vaccine Antigen Detected in the Plasma of mRNA-1273 Vaccine Recipients 2021/05/21 - 7:37pm Academic Paper COVID19, Public Policy, Health Policy, mRNA Vaccine, SARS-CoV-2 Antigens, Immune Responses, Spike
Learning to Reinforcement Learn 2021/05/21 - 2:37pm External Course Reinforcement Learning, Machine Learning
Nonreplicable publications are cited more than replicable ones 2021/05/21 - 1:10pm White Paper Nonreplicable Study, Research, Data Analysis, Citations, Peer Review
Targeted Advertising: How Do Consumers Make Inferences? 2021/05/20 - 8:13pm External Course Machine Learning, Targeted Advertising, Causal Inference, Recommendation Engines, Product Recommendation Engines, Targeting Accuracy, Consumer Inference, Consumer Search
Bid Optimizing for Targeted Online Advertising 2021/05/20 - 8:13pm External Course Bid Optimizing, Targeted Online Advertising, Online Experiments, Experimentation On-line Advertising, Advertising
Markov Chain Monte Carlo - Probabilistic Machine Learning 2021/05/20 - 8:09pm External Course Markov Chain Monte Carlo, Monte Carlo Simulations, Prescriptive Strategy, Probabilistic Machine Learning, Machine Learning
Reactions on Algorithms: a systematic Literature Review of Algorithm Aversion and Algorithm Appreciation 2021/05/20 - 7:51pm External Course Algorithm, Learning Algorithms, Marketing, Algorithm Aversion, Decision Aids, Human-algorithm Interaction
Guided Monte Carlo Tree Search for Planning in Learned Enviornments 2021/05/20 - 7:42pm External Course Guided Monte Carlo Tree Search, Planning, Learned Enviornments, Monte Carlo Tree Search
Monte Carlo Tree Search in Production Management Problems 2021/05/20 - 7:39pm External Course Monte Carlo Tree Search, Production Management Problems, Monte Carlo Simulations
Monte Carlo Simulation 2021/05/20 - 7:06pm External Course Monte Carlo Simulations, Causal Interpretation, Prescriptive Strategy
Ranking Forests 2021/05/20 - 6:37pm External Course Classification Data, Tree-based Ranking Rules, Algorithms, Machine Learning Algorithms, Backpropagation Algorithm
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters 2021/05/20 - 6:06pm External Course Causality Inference, Causality, Machine Learning, Algorithm Decision Making, Data-Driven Decision-Making, Treatment Effect Estimation, Treatment Assignment Policy
Learning First-Order Probabilistic Models with Combining Rules 2021/05/20 - 6:06pm External Course Probabilistic Models, Combining Rules, Probabilistic Forecasts, Probabilistic Logic
Multifractal Geometry in Stock Market Time Series 2021/05/20 - 1:59pm External Course Fractals, Multifractals, Time Series, Finance, Trading, Stocks, Takens Theorem, Chaos Theory, Chaotic Dynamical System
Architecting Predictive Algorithms for Machine Learning 2021/05/20 - 1:25pm External Course Predictive Algorithms, Machine Learning
Fourier Neural Operator for Parametric Partial Differential Equations 2021/05/20 - 12:58pm Academic Paper Machine Learning, Fourier Neural Operator, Parametric Partial Differential Equations
Neurocognitive Enhancement: Applications and Ethical Issues 2021/05/20 - 12:54pm External Course Neurocognitive Enhancement, Neuroethics, Wearable Devices, Machine Learning

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