On the Opportunities and Risks of Foundation Models
On 25 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Machine Learning, Foundation Models, Artificial Intelligence, Risk Management
External Course
Estimating individual-level optimal causal interventions combining causal models and machine learning models
On 25 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Causal Data Science, Machine Learning, Individual-level Optimal Causal Interventions, Causal Models
Discuss statistical causal inference methods.
Estimating individual-level optimal causal interventions combining causal models and machine learning models - 2021
Abstract
CausaLM: Causal Model Explanation Through Counterfactual Language Models
On 25 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Causal Data Science, Causal Inference, Linguistic Causation, CausaLM, Causal Model Explanation, Counterfactual Language Models, Machine Learning
Discuss causative linguistic expressions and causal model explanation through counterfactual language models.
CausaLM: Causal Model Explanation Through Counterfactual Language Models - 2021
Abstract
Modelling Linguistic Causation
On 25 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Causal Data Science, Causal Inference, Linguistic Causation, Structural Equation Modelling
Discuss causative linguistic expressions, how causal relations are expressed in natural languages, and Structural Equation Modelling (SEM).
Modelling Linguistic Causation - 2021
Abstract
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
On 25 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
DoWhy, Causal Assumptions, Causal Inference, Causal Data Science, Machine Learning
Discuss successful application of causal inference techniques. As computing systems are more frequently and more actively intervening in societally critical domains such as healthcare, education, and governance, it is critical to correctly predict and understand the causal effects of these interventions. Without an A/B test, conventional machine learning methods, built on pattern recognition and correlational analyses, are insufficient for decision-making.
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
On 25 Aug, 2021 By admin 0 Comments
Efficient Decision Making with (Causal) Bayesian Deep Learning
On 25 Aug, 2021 By admin 0 Comments
Radical Empiricism and Machine Learning Research
On 23 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Machine Learning, Causality, Causal Models, Knowledge Representation
Discuss “data fitting” vs “data interpreting” approaches to data science along three dimensions: Expediency, Transparency, and Explainability.
Radical Empiricism and Machine Learning Research - May, 2021 by Judea Pearl
Abstract
The Seven Tools of Causal Inference, with Reflections on Machine Learning
On 23 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Causality, Causal Reasoning, Causal Inference, Machine Learning, Algorithms
Discuss causality and machine learning - contrast with statistical correlations.
The Seven Tools of Causal Inference, with Reflections on Machine Learning - March, 2019 By Judea Pearl
Survey of Monte Carlo Tree Search Methods
On 21 Aug, 2021 By admin 0 Comments
DSA ADS Course - 2021
Monte Carlo Tree Search, Markov Chain Monte Carlo, Guided Monte Carlo Tree Search, Monte Carlo Simulations
Discuss Monte Carlo Tree Search, Markov Chains, Upper Confidence Bounds, Upper Confidence Bounds for Trees and Bandit-based methods.
Survey of Monte Carlo Tree Search Methods