Publication Learned Benchmarks for Subseasonal Forecasting Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey September 2021 Preprint Github Project
Publication Expanding A Large Inclusive Study Of Human Listening Rates Danielle Bragg, Katharina Reinecke, Richard E. Ladner ACM Transactions on Accessible Computing | September 2021, Vol 14(3) Project
Publication Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber Vasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, Jeong-Yoon Lee 2021 Knowledge Discovery and Data Mining | September 2021 Project
Publication Analysis of a Vaping-Associated Lung Injury Outbreak through Participatory Surveillance and Archival Internet Data Yulin Hswen, Elad Yom-Tov International Journal of Environmental Research and Public Health | August 2021 Project
Publication Discovery of Parkinson’s disease states and disease progression modelling: a longitudinal data study using machine learning Kristen Severson, Lana M Chahine, Luba A Smolensky, Murtaza Dhuliawala, Mark Frasier, Kenney Ng, Soumya Ghosh, Jianying Hu July 2021
Publication A Topological Data Analytic Approach for Discovering Biophysical Signatures in Protein Dynamics W. S. Tang, G. M. da Silva, H. Kirveslahti, E. Skeens, B. Feng, T. Sudijono, Kevin Kaichuang Yang, S. Mukherjee, B. Rubenstein, Lorin Crawford bioRxiv | July 2021
Publication Evidential Deep Learning for Guided Molecular Property Prediction and Discovery Ava P. Amini, Alexander Amini, Samuel Goldman, Daniela Rus, Sangeeta N. Bhatia, Connor W. Coley ACS central science | July 2021
Publication MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits. Daniel E. Runcie, Jiayi Qu, Hao Cheng, Lorin Crawford Genome Biology | July 2021, Vol 22(1): pp. 213
Publication Independent Finite Approximations For Bayesian Nonparametric Inference Tin D. Nguyen, Jonathan Huggins, Lorenzo Masoero, Lester Mackey, Tamara Broderick July 2021
Publication Making Sense of Metrics in the Music Industries Nancy Baym, Rachel Bergmann, Raj Bhargava, Fernando Diaz, Tarleton Gillespie, David Hesmondhalgh, Elena Maris, Christopher J. Persaud International Journal of Communication | July 2021, Vol 15 Project
