Search Results for author: Jan-Christian Hütter

Found 4 papers, 1 papers with code

NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning

no code implementations4 Jan 2023 Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter

Learning causal relationships between variables is a well-studied problem in statistics, with many important applications in science.

Large-Scale Differentiable Causal Discovery of Factor Graphs

1 code implementation15 Jun 2022 Romain Lopez, Jan-Christian Hütter, Jonathan K. Pritchard, Aviv Regev

Combining this novel structural assumption with recent advances that bridge the gap between causal discovery and continuous optimization, we achieve causal discovery on thousands of variables.

Causal Discovery Causal Inference

Estimation of Monge Matrices

no code implementations5 Apr 2019 Jan-Christian Hütter, Cheng Mao, Philippe Rigollet, Elina Robeva

Monge matrices and their permuted versions known as pre-Monge matrices naturally appear in many domains across science and engineering.

Statistical Optimal Transport via Factored Couplings

no code implementations19 Jun 2018 Aden Forrow, Jan-Christian Hütter, Mor Nitzan, Philippe Rigollet, Geoffrey Schiebinger, Jonathan Weed

We propose a new method to estimate Wasserstein distances and optimal transport plans between two probability distributions from samples in high dimension.

Domain Adaptation

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