Recent & Upcoming Talks

2020

Constructing interval latent variables via Rasch measurement and multitask deep learning: a hate speech application

Nov 19, 2020 Society for Computation in Psychology Virtual

Targeted exposure mixtures

Discovering exposure mixtures and ranking variable sets via cross-validated ensemble machine learning

Apr 22, 2020 European Causal Inference Meeting

Measuring hate speech: unifying deep learning with item response theory

Mar 17, 2020 2:00 PM — 4:00 PM Berkeley Evaluation and Assessment Research (BEAR) Seminar Berkeley, CA

Integrating ordinal, multitask deep learning with faceted item response theory: debiased, explainable, interval measurement of hate speech

Feb 27, 2020 3:30 PM — 5:00 PM NLP@UCSF Meetup San Francisco, CA

SuperLearner ensemble machine learning for chest pain prognostic modeling

Feb 27, 2020 CDC R User’s Group Atlanta, Georgia

2019

Machine learning for human rights and hate speech

Applied machine learning workshop, talk on machine learning for human rights, and talk on hate speech measurement

Nov 14, 2019 DataFest Tbilisi 2019 Tbilisi, Republic of Georgia

Unifying deep learning with item response theory: interval measurement, annotator debiasing, efficiency, and explainability

Oct 11, 2019 European NLP 2019 Facebook, London, UK

Unifying deep learning with item response theory: interval measurement, debiasing, efficiency, and explainability

Sep 6, 2019 West Coast NLP 2019 Facebook, Menlo Park, CA

Chest pain data science: prediction, variable importance, interpretability

Jul 17, 2019 Systems Research Initiative group Kaiser Permanente Division of Research, Oakland, CA

Machine Learning 101 for Human Rights Activists: Everything you wanted to know about machine learning but were afraid to ask

Machine learning introduction interwoven with preliminary results from our hate speech project.

Jun 12, 2019 RightsCon 2019 Tunis, Tunisia

Hate speech, algorithms, and digital connectivity

May 8, 2019 BIDS Data Science Lectures Berkeley, CA