I am thrilled to share that our paper “A Meta-Reinforcement Learning Algorithm for Causal Discovery” got accepted at CLEAR23.
I’m thrilled to share a recent accomplishment that has added a new layer of excitement to my journey in causal inference. Our paper has been accepted for presentation as a poster at the Causal Learning and Reasoning Conference in Tübingen. Thanks to my co-authors Erman Acar and Vincent François-Lavet for the great collaboration.
Being able to share my research as a poster presenter at this renowned conference was both an honor and a validation of the effort invested. It provided an avenue to contribute to discussions on causal relationships, engage with fellow researchers, and gain insights into the forefront of causal reasoning.
The journey took an even more rewarding turn when I was invited to present my paper at the Workshop for Causal Representation Learning. This workshop offered a unique platform to delve deeper into the methodology and intricacies of my research. It was an invaluable opportunity to connect with like-minded enthusiasts, share insights, and explore diverse perspectives on causal complexities.
Ricardo Cannizzaro kindly staging a picture with me in front of our poster.
As I reflect on these experiences, I’m reminded of the dynamic nature of research and learning. The process of discovery, collaboration, and sharing is truly fulfilling. The conversations, feedback, and connections forged during these events have added significant value to my research journey.
These milestones highlight the essence of growth through exploration and collaboration. I’m grateful for the chance to contribute to the field of causal inference and excited about the future avenues that these events have opened up.