Seminars

APPM Department Colloquium - Esteban Real

Feb. 12, 2021

Esteban Real, Software Engineer, Google Brain Evolving Machine Learning Algorithms The effort devoted to hand-crafting machine learning (ML) models has motivated the use of automated methods. These methods, collectively known as AutoML, can today optimize the models' architectures to surpass the performance of manual designs. I will discuss how evolutionary...

APPM Department Colloquium - Christian Szegedy

Feb. 5, 2021

Christian Szegedy, Staff Research Scientist, Google Machine Learning for Mathematical Reasoning In this talk I will discuss the application of transformer based language models and graph neural networks on automated reasoning tasks in first-order and higher-order logic. After a short introduction of the type of problems addressed and the general...

APPM Department Colloquium - Rico Sennrich

Jan. 29, 2021

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...

Complex/Dynamical Systems Seminar - Dan Larremore

Jan. 28, 2021

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...

APPM Department Colloquium - Rob Fergus

Jan. 22, 2021

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...

Mathematical Biology Seminar - Tahra Eissa

Dec. 14, 2020

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...

Mathematical Biology Seminar - David Stearns

Dec. 7, 2020

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...

APPM Department Colloquium - Susan Murphy

Dec. 4, 2020

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...

Complex/Dynamical Systems Seminar - Heather Zinn Brooks

Dec. 3, 2020

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 Department Colloquium Susan Murphy

Nov. 29, 2020

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...

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