Elevating our Evaluations: Technical and Sociotechnical Standards of Assessment in Machine Learning

Keynote for AISTATS 2023 in Valencia. You can find the slides here. Video coming soon. Abstract: Evaluation in Machine Learning does not always get the attention it deserves. I hope to focus our attention for the time of this talk … Continue reading Elevating our Evaluations: Technical and Sociotechnical Standards of Assessment in Machine Learning

Inventing Ourselves: Responsibility and Diversity in Research

This piece was a contribution to the wonderful book by Gavin Brown, Chapter X in How to Get Your PhD: A Handbook for the Journey (OUP, 2021). It shares one view on how we, as scientists, can respond to diversity and inclusion, and hopefully interesting to everyone (beyond the early-career scientist). A letter to the new research student. You are entering a world of knowledge and research that is constantly changing. For so many of us, that is its allure. Yet, for all our investigations into the natural, informational, mechanistic, or structural world, nature does not shape the world of … Continue reading Inventing Ourselves: Responsibility and Diversity in Research

Through the Eyes of Birds and Frogs: Writing and Surveys in Machine Learning Research

Savoured the opportunity to talk about writing surveys and reviews at the NeurIPS2020 Workshop on ML Retrospectives, Surveys & Meta-Analyses (ML-RSA) This is the text of the talk. 🎞Watch the video here and 🖥 slides here Hello! My name is … Continue reading Through the Eyes of Birds and Frogs: Writing and Surveys in Machine Learning Research