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Online Causal Inference Seminar
Online Causal Inference Seminar
Online Causal Inference Seminar
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A regular online international causal inference seminar.
Wang Miao: Introducing the specificity score: a measure of causality beyond P value
1:05:52
Wang Miao: Introducing the specificity score: a measure of causality beyond P value
3 месяца назад
Rodrigo Pinto: What is causality? How to express it? And why it matters
1:09:03
Rodrigo Pinto: What is causality? How to express it? And why it matters
3 месяца назад
Abhin Shah: On counterfactual inference with unobserved confounding via exponential family
30:48
Abhin Shah: On counterfactual inference with unobserved confounding via exponential family
4 месяца назад
Brian Gilbert: Identification/estimation of mediation effects of longitudinal modified policies
27:54
Brian Gilbert: Identification/estimation of mediation effects of longitudinal modified policies
4 месяца назад
Raaz Dwivedi: Integrating Double Robustness into Causal Latent Factor Models
1:09:59
Raaz Dwivedi: Integrating Double Robustness into Causal Latent Factor Models
4 месяца назад
Hyunseung Kang: Transfer Learning Between U.S. Presidential Elections
1:02:00
Hyunseung Kang: Transfer Learning Between U.S. Presidential Elections
4 месяца назад
Andrew Yiu: Semiparametric posterior corrections
1:06:20
Andrew Yiu: Semiparametric posterior corrections
5 месяцев назад
Chan Park: Single Proxy Control
27:12
Chan Park: Single Proxy Control
5 месяцев назад
Mihaela van der Schaar: The (Causal) Discovery Ladder: Unravelling Governing Equations and Beyond
48:51
Mihaela van der Schaar: The (Causal) Discovery Ladder: Unravelling Governing Equations and Beyond
5 месяцев назад
Kosuke Imai: The Cram Method for Efficient Simultaneous Learning and Evaluation
59:31
Kosuke Imai: The Cram Method for Efficient Simultaneous Learning and Evaluation
5 месяцев назад
Krikamol Muandet: A Measure-Theoretic Axiomatisation of Causality
57:58
Krikamol Muandet: A Measure-Theoretic Axiomatisation of Causality
6 месяцев назад
Sara Magliacane & Phillip Lippe: BISCUIT: Causal Representation Learning from Binary Interactions
59:41
Sara Magliacane & Phillip Lippe: BISCUIT: Causal Representation Learning from Binary Interactions
6 месяцев назад
David Lagnado: Causality in Mind: Learning, Reasoning and Blaming
1:00:13
David Lagnado: Causality in Mind: Learning, Reasoning and Blaming
6 месяцев назад
Maria Glymour: Evidence triangulation in dementia research
1:02:24
Maria Glymour: Evidence triangulation in dementia research
6 месяцев назад
Giulio Grossi: SMaC: Spatial Matrix Completion method
30:11
Giulio Grossi: SMaC: Spatial Matrix Completion method
6 месяцев назад
Xinwei Shen: Causality-oriented robustness: exploiting data heterogeneity at different levels
29:04
Xinwei Shen: Causality-oriented robustness: exploiting data heterogeneity at different levels
6 месяцев назад
Iván Díaz: Recanting twins: addressing intermediate confounding in mediation analysis
1:06:28
Iván Díaz: Recanting twins: addressing intermediate confounding in mediation analysis
7 месяцев назад
Ting Ye: Debiased Multivariable Mendelian Randomization
59:52
Ting Ye: Debiased Multivariable Mendelian Randomization
7 месяцев назад
Fan Yang: Mediation analysis with the mediator and outcome missing not at random
1:01:21
Fan Yang: Mediation analysis with the mediator and outcome missing not at random
7 месяцев назад
Victor Veitch: Linear Structure of (Causal) Concepts in Generative AI
1:04:02
Victor Veitch: Linear Structure of (Causal) Concepts in Generative AI
8 месяцев назад
Jonas Peters, Nicola Gnecco, Sorawit Saengkyongam: Invariance-based Generalization and Extrapolation
59:05
Jonas Peters, Nicola Gnecco, Sorawit Saengkyongam: Invariance-based Generalization and Extrapolation
8 месяцев назад
Elizabeth Tipton: Designing Randomized Trials to Predict Treatment Effects
59:55
Elizabeth Tipton: Designing Randomized Trials to Predict Treatment Effects
8 месяцев назад
Mats Stensrud & Aaron Sarvet: Interpretational errors in causal inference and how to avoid them
1:06:54
Mats Stensrud & Aaron Sarvet: Interpretational errors in causal inference and how to avoid them
9 месяцев назад
Erica Moodie: Flexible modeling of adaptive treatment strategies for censored outcomes
1:06:03
Erica Moodie: Flexible modeling of adaptive treatment strategies for censored outcomes
9 месяцев назад
Yuqi Gu: Identifiable Deep Generative Models for Rich Data Types with Discrete Latent Layers
1:02:14
Yuqi Gu: Identifiable Deep Generative Models for Rich Data Types with Discrete Latent Layers
9 месяцев назад
Maya Mathur: A common-cause principle for eliminating selection bias in causal estimands
59:18
Maya Mathur: A common-cause principle for eliminating selection bias in causal estimands
10 месяцев назад
Anish Agarwal: On Causal Inference with Temporal and Spatial Spillovers in Panel Data
59:20
Anish Agarwal: On Causal Inference with Temporal and Spatial Spillovers in Panel Data
10 месяцев назад
Richard Guo: Confounder selection via iterative graph expansion
1:02:42
Richard Guo: Confounder selection via iterative graph expansion
10 месяцев назад
Chris Harshaw: ClipOGD: Experimental Design for Adaptive Neyman Allocation in Sequential Experiments
32:05
Chris Harshaw: ClipOGD: Experimental Design for Adaptive Neyman Allocation in Sequential Experiments
11 месяцев назад
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