no code implementations • 4 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.
1 code implementation • 15 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.
no code implementations • 5 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.
no code implementations • 19 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.