Niklas Pfister | DeepAI

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∙ 06/19/2023

Effect-Invariant Mechanisms for Policy Generalization

Policy learning is an important component of many real-world learning sy...

0 Sorawit Saengkyongam, et al. ∙

∙ 05/15/2022

Supervised Learning and Model Analysis with Compositional Data

The compositionality and sparsity of high-throughput sequencing data pos...

0 Shimeng Huang, et al. ∙

∙ 03/17/2022

Identifiability of Sparse Causal Effects using Instrumental Variables

Exogenous heterogeneity, for example, in the form of instrumental variab...

0 Niklas Pfister, et al. ∙

∙ 02/12/2022

Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning

Questions in causality, control, and reinforcement learning go beyond th...

0 Sebastian Weichwald, et al. ∙

∙ 02/03/2022

Exploiting Independent Instruments: Identification and Distribution Generalization

Instrumental variable models allow us to identify a causal function betw...

0 Sorawit Saengkyongam, et al. ∙

∙ 06/01/2021

Invariant Policy Learning: A Causal Perspective

In the past decade, contextual bandit and reinforcement learning algorit...

0 Sorawit Saengkyongam, et al. ∙

∙ 05/22/2021

Statistical Testing under Distributional Shifts

Statistical hypothesis testing is a central problem in empirical inferen...

0 Nikolaj Thams, et al. ∙

∙ 06/12/2020

The Difficult Task of Distribution Generalization in Nonlinear Models

We consider the problem of predicting a response from a set of covariate...

0 Rune Christiansen, et al. ∙

∙ 01/17/2020

Causal models for dynamical systems

A probabilistic model describes a system in its observational state. In ...

0 Jonas Peters, et al. ∙

∙ 11/05/2019

Stabilizing Variable Selection and Regression

We consider regression in which one predicts a response Y with a set of ...

0 Niklas Pfister, et al. ∙

∙ 10/28/2018

Identifying Causal Structure in Large-Scale Kinetic Systems

In the natural sciences, differential equations are widely used to descr...

0 Niklas Pfister, et al. ∙

∙ 06/04/2018

groupICA: Independent component analysis for grouped data

We introduce groupICA, a novel independent component analysis (ICA) algo...

0 Niklas Pfister, et al. ∙

∙ 03/01/2016

Kernel-based Tests for Joint Independence

We investigate the problem of testing whether d random variables, which ...

0 Niklas Pfister, et al. ∙

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