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06/04/2023
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
We study the problem of learning causal representations from unknown, la...
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05/26/2023
Causal Component Analysis
Independent Component Analysis (ICA) aims to recover independent latent ...
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05/26/2023
Flow Matching for Scalable Simulation-Based Inference
Neural posterior estimation methods based on discrete normalizing flows ...
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05/19/2023
A Measure-Theoretic Axiomatisation of Causality
Causality is a central concept in a wide range of research areas, yet th...
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01/20/2023
Multi armed bandits and quantum channel oracles
Multi armed bandits are one of the theoretical pillars of reinforcement ...
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08/12/2022
Function Classes for Identifiable Nonlinear Independent Component Analysis
Unsupervised learning of latent variable models (LVMs) is widely used to...
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06/17/2022
AutoML Two-Sample Test
Two-sample tests are important in statistics and machine learning, both ...
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06/07/2021
The Inductive Bias of Quantum Kernels
It has been hypothesized that quantum computers may lend themselves well...
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12/03/2020