Seminars

Rico Sennrich, Professor of Computational Linguistics, University of Zurich Lessons from Multilingual Machine Translation Neural models have brought rapid advances to the field of machine translation, and have also opened up new opportunities. One of these is the training of machine translation models in two or more translation directions to...

Dan Larremore, Department of Computer Science, University of Colorado Boulder Model-informed COVID-19 vaccine prioritization strategies by age and serostatus Limited initial supply of SARS-CoV-2 vaccine raises the question of how to prioritize available doses. One might reason, intuitively, that doses should be prioritized to directly protect those who are most...

Rob Fergus, Professor of Computer Science, New York University and Research Scientist, DeepMind Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences In the field of artificial intelligence, a combination of scale in data and model capacity enabled by unsupervised learning has led to major...

Tahra Eissa, Department of Applied Mathematics, University of Colorado Boulder Normative decision asymmetries with symmetric priors but asymmetric evidence Decisions based on rare events are challenging because rare events alone can be both informative and unreliable as evidence. How humans should and do overcome this challenge is not well understood...

David Stearns, Department of Applied Mathematics, University of Colorado Boulder Dynamics and Analysis of Territorial Animals The ways animals form territories, interact with members of their own social group, and interact with members of other intraspecies social groups play a vital role in the maintenance of an ecosystem and in...

Susan Murphy, Radcliffe Alumnae Professor at the Radcliffe Institute and Professor of Statistics and Computer Science, Harvard University Challenges in Developing Learning Algorithms to Personalize Treatment in Real Time There are a variety of formidable challenges to reinforcement learning and control for use in designing digital health interventions for individuals...

Heather Zinn Brooks, Department of Mathematics, Harvey Mudd College Bounded-confidence models for media impact on online social networks Online social media networks have become extremely influential sources of news and information. Given the large audience and the ease of sharing content online, the content that spreads on online social networks...

APPM Colloquium: Speaker : Susan Murphy Affiliations: Department of Statistics , Harvard University Department of Computer Science , Harvard University Radcliffe Institute for Advanced Study , Harvard University Day/Time: Friday, December 4th 2020, 4:10pm-5:10pm MST Location: Virtual talk on Zoom: https://cuboulder.zoom.us/j/95938791886 Talk Title: Challenges in Developing Learning Algorithms to Personalize...

John Nardini, Department of Applied Mathematics, University of Colorado Boulder Data-driven modeling for noisy biological data and agent-based Models I will consider the problem of inferring the dynamics underlying biological data using two case studies in equation learning and topological data analysis. The math biology field presents several exciting challenges...

Alex Hening, Department of Mathematics, Tufts Universy The competitive exclusion principle in stochastic environments The competitive exclusion principle states in its simplest form that a number of species competing for a smaller number of resources cannot coexist. Nevertheless, in nature there are many instances where this is not true. One...