ERD

Distributional Robustness and Transfer Learning Through Empirical Bayes

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Graphical Elastic Net and Target Matrices: Fast Algorithms and Software for Sparse Precision Matrix Estimation

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Learning and scoring Gaussian latent variable causal models with unknown additive interventions

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Causality-oriented robustness: exploiting general additive interventions

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Ancestor regression in structural vector autoregressive models

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Statistical Machine Learning for Complex Data

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Confounding Adjustment for Causal Inference

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal Models

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Optimistic search: Change point estimation for large-scale data via adaptive logarithmic queries

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Assessing the overall and partial causal well-specification of nonlinear additive noise models

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Spectral Deconfounding for High-Dimensional Sparse Additive Models

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Extrapolation-Aware Nonparametric Statistical Inference

Project: CausalStats

Updated at: 01-03-2025

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Project acronym CausalStats

Double machine learning methods: Beyond independence

Project: CausalStats

Updated at: 01-10-2024

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Project acronym CausalStats

Periodic Reporting for period 4 - CausalStats (Statistics, Prediction and Causality for Large-Scale Data)

Project: CausalStats

Updated at: 01-10-2024

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Project acronym CausalStats

Change point detection algorithms and methodology for large-scale data

Project: CausalStats

Updated at: 01-10-2024

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Project acronym CausalStats

Anchor regression: Heterogeneous Data Meet Causality

Project: CausalStats

Updated at: 03-08-2024

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Project acronym CausalStats

A Rank-Based Sequential Test of Independence

Project: CausalStats

Updated at: 14-05-2024

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Project acronym CausalStats

Model selection over partially ordered sets

Project: CausalStats

Updated at: 14-05-2024

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Project acronym CausalStats

Random Forests for Change Point Detection

Project: CausalStats

Updated at: 14-05-2024

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Project acronym CausalStats

Distributionally Robust and Generalizable Inference

Project: CausalStats

Updated at: 14-05-2024

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Project acronym CausalStats

TSCI: two stage curvature identification for causal inference with invalid instruments

Project: CausalStats

Updated at: 14-05-2024

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Project acronym CausalStats

Invariant Probabilistic Prediction

Project: CausalStats

Updated at: 14-05-2024

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Project acronym CausalStats

"Discussion of ""A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models"""

Project: CausalStats

Updated at: 14-05-2024

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Project acronym CausalStats

Regularized Double Machine Learning in Partially Linear Models with UnobservedConfounding

Project: CausalStats

Updated at: 14-05-2024

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Project acronym CausalStats

Distributionally Robust Machine Learning with Multi-source Data

Project: CausalStats

Updated at: 14-05-2024

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Project acronym CausalStats

Confidence and Uncertainty Assessment for Distributional Random Forests

Project: CausalStats

Updated at: 14-05-2024

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