Prof Stijn Vansteelandt Debiased Risk

Media Summary: MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag, Leonard D'Avolio View the complete course: ... Speaker: Darinka Dentcheva, Stevens Institute of Technology Date: January 21, 2026 Abstract: ... Speaker: Steven Vanduffel, Vrije Universiteit Brussel Date: March 21, 2024 Abstract: ...

Prof Stijn Vansteelandt Debiased Risk - Detailed Analysis & Overview

MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag, Leonard D'Avolio View the complete course: ... Speaker: Darinka Dentcheva, Stevens Institute of Technology Date: January 21, 2026 Abstract: ... Speaker: Steven Vanduffel, Vrije Universiteit Brussel Date: March 21, 2024 Abstract: ... The Bayes-Stein model is widely used to tackle parameter uncertainty in the classical Markowitz mean-variance portfolio ...

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Prof. Stijn Vansteelandt | Debiased Risk Minimization for Assumption-lean Causal Learning

Professor Stijn Vansteelandt | Machine learning for the evaluation of treatment effects

Stijn Vansteelandt: Assumption-lean Causal Modeling

IBS-BIR Model Selection meeting, March 2012, Stijn Vansteelandt talk

Stijn Vansteelandt Assumption-Lean Inference for Cox Regression Parameters

Prof van der Nest - Manage risk, Manage Uncertainty

Mediation analysis - A case study on how improper statistical methods may become dominant

4. Risk Stratification, Part 1

Risk-Averse Optimization by Stochastic Dominance Constraints

Thinking and Feeling About Risk: can they be separated?

Robust distortion risk measures

Emmanouil Platanakis, University of Bath: When Bayes-Stein Meets Machine Learning (10/3/2023)

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Prof. Stijn Vansteelandt | Debiased Risk Minimization for Assumption-lean Causal Learning

Prof. Stijn Vansteelandt | Debiased Risk Minimization for Assumption-lean Causal Learning

Title:

Professor Stijn Vansteelandt | Machine learning for the evaluation of treatment effects

Professor Stijn Vansteelandt | Machine learning for the evaluation of treatment effects

A talk from

Stijn Vansteelandt: Assumption-lean Causal Modeling

Stijn Vansteelandt: Assumption-lean Causal Modeling

Speaker:

IBS-BIR Model Selection meeting, March 2012, Stijn Vansteelandt talk

IBS-BIR Model Selection meeting, March 2012, Stijn Vansteelandt talk

Stijn Vansteelandt

Stijn Vansteelandt Assumption-Lean Inference for Cox Regression Parameters

Stijn Vansteelandt Assumption-Lean Inference for Cox Regression Parameters

Stijn Vansteelandt

Prof van der Nest - Manage risk, Manage Uncertainty

Prof van der Nest - Manage risk, Manage Uncertainty

The only alternative to

Mediation analysis - A case study on how improper statistical methods may become dominant

Mediation analysis - A case study on how improper statistical methods may become dominant

A webinar by

4. Risk Stratification, Part 1

4. Risk Stratification, Part 1

MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag, Leonard D'Avolio View the complete course: ...

Risk-Averse Optimization by Stochastic Dominance Constraints

Risk-Averse Optimization by Stochastic Dominance Constraints

Speaker: Darinka Dentcheva, Stevens Institute of Technology Date: January 21, 2026 Abstract: ...

Thinking and Feeling About Risk: can they be separated?

Thinking and Feeling About Risk: can they be separated?

Speaker(s):

Robust distortion risk measures

Robust distortion risk measures

Speaker: Steven Vanduffel, Vrije Universiteit Brussel Date: March 21, 2024 Abstract: ...

Emmanouil Platanakis, University of Bath: When Bayes-Stein Meets Machine Learning (10/3/2023)

Emmanouil Platanakis, University of Bath: When Bayes-Stein Meets Machine Learning (10/3/2023)

The Bayes-Stein model is widely used to tackle parameter uncertainty in the classical Markowitz mean-variance portfolio ...

HTE: Sources of Bias

HTE: Sources of Bias

Professor