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12/10/2022
Stochastic Optimization for Spectral Risk Measures
Spectral risk objectives - also called L-risks - allow for learning syst...
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04/15/2022
Deep Unlearning via Randomized Conditionally Independent Hessians
Recent legislation has led to interest in machine unlearning, i.e., remo...
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09/29/2021
Towards a theory of out-of-distribution learning
What is learning? 20^st century formalizations of learning theory – whic...
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08/21/2019
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
Positron emission tomography (PET) imaging is an imaging modality for di...
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08/18/2019
A Consistent Independence Test for Multivariate Time-Series
A fundamental problem in statistical data analysis is testing whether tw...
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07/03/2019
hyppo: A Comprehensive Multivariate Hypothesis Testing Python Package
We introduce hyppo, a unified library for performing multivariate hypoth...
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04/08/2019
Resource Constrained Neural Network Architecture Search
The design of neural network architectures is frequently either based on...
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04/19/2018
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families
There has recently been a concerted effort to derive mechanisms in visio...
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03/21/2018
Robust Blind Deconvolution via Mirror Descent
We revisit the Blind Deconvolution problem with a focus on understanding...
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11/20/2017