Sara Magliacane | DeepAI

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Featured Co-authors

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∙ 07/18/2023

Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning

In many reinforcement learning tasks, the agent has to learn to interact...

0 Fan Feng, et al. ∙

∙ 06/16/2023

BISCUIT: Causal Representation Learning from Binary Interactions

Identifying the causal variables of an environment and how to intervene ...

0 Phillip Lippe, et al. ∙

∙ 06/01/2023

Graph Switching Dynamical Systems

Dynamical systems with complex behaviours, e.g. immune system cells inte...

0 Yongtuo Liu, et al. ∙

∙ 02/26/2023

Invariant Neural Ordinary Differential Equations

Latent neural ordinary differential equations have been proven useful fo...

1 Ilze Amanda Auzina, et al. ∙

∙ 06/13/2022

iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects

Causal representation learning is the task of identifying the underlying...

6 Phillip Lippe, et al. ∙

∙ 03/30/2022

Factored Adaptation for Non-Stationary Reinforcement Learning

Dealing with non-stationarity in environments (i.e., transition dynamics...

0 Fan Feng, et al. ∙

∙ 02/07/2022

CITRIS: Causal Identifiability from Temporal Intervened Sequences

Understanding the latent causal factors of a dynamical system from visua...

5 Phillip Lippe, et al. ∙

∙ 07/06/2021

AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning

Most approaches in reinforcement learning (RL) are data-hungry and speci...

8 Biwei Huang, et al. ∙

∙ 11/01/2020

Active Structure Learning of Causal DAGs via Directed Clique Tree

A growing body of work has begun to study intervention design for effici...

0 Chandler Squires, et al. ∙

∙ 07/02/2020

Verifiably Safe Exploration for End-to-End Reinforcement Learning

Deploying deep reinforcement learning in safety-critical settings requir...

22 Nathan Hunt, et al. ∙

∙ 10/18/2018

An Upper Bound for Random Measurement Error in Causal Discovery

Causal discovery algorithms infer causal relations from data based on se...

0 Tineke Blom, et al. ∙

∙ 07/20/2017

Causal Transfer Learning

An important goal in both transfer learning and causal inference is to m...

0 Sara Magliacane, et al. ∙

∙ 11/30/2016

Joint Causal Inference from Observational and Experimental Datasets

We introduce Joint Causal Inference (JCI), a powerful formulation of cau...

0 Sara Magliacane, et al. ∙

∙ 06/22/2016

Ancestral Causal Inference

Constraint-based causal discovery from limited data is a notoriously dif...

0 Sara Magliacane, et al. ∙

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