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Session
Oral Session 11
Katherine Heller
Wed Dec 08 10:50 AM -- 11:10 AM (PST) @
Author Information
Katherine Heller (Google)
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2021 : Maintaining fairness across distribution shifts: do we have viable solutions for real-world applications? »
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2022 Poster: Diagnosing failures of fairness transfer across distribution shift in real-world medical settings »
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2020 Workshop: Machine Learning for Mobile Health »
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2020 Symposium: COVID-19 Symposium Day 2 »
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2019 Poster: Reconciling meta-learning and continual learning with online mixtures of tasks »
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2019 Spotlight: Reconciling meta-learning and continual learning with online mixtures of tasks »
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2018 : Katherine Heller »
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2017 : Panel: On the Foundations and Future of Approximate Inference »
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2017 Poster: An inner-loop free solution to inverse problems using deep neural networks »
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2015 Poster: Parallelizing MCMC with Random Partition Trees »
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2015 Poster: Fast Second Order Stochastic Backpropagation for Variational Inference »
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2012 Poster: Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models »
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2012 Spotlight: Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models »
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2012 Poster: Modelling Reciprocating Relationships with Hawkes processes »
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2012 Session: Oral Session 7 »
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2012 Spotlight: Modelling Reciprocating Relationships with Hawkes processes »
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2011 Poster: Testing a Bayesian Measure of Representativeness Using a Large Image Database »
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2011 Session: Oral Session 7 »
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2010 Session: Spotlights Session 9 »
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2009 Workshop: Applications for Topic Models: Text and Beyond »
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2009 Poster: Hierarchical Learning of Dimensional Biases in Human Categorization »
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2009 Spotlight: Hierarchical Learning of Dimensional Biases in Human Categorization »
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2008 Poster: Bayesian Exponential Family PCA »
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2008 Spotlight: Bayesian Exponential Family PCA »
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