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05/04/2023
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models
Laplacian regularized stratified models (LRSM) are models that utilize t...
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10/22/2021
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP
Resource allocation problems in many computer systems can be formulated ...
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04/01/2021
Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method
We consider the problem of assigning or allocating resources to a set of...
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03/03/2021
Minimum-Distortion Embedding
We consider the vector embedding problem. We are given a finite set of i...
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06/07/2020
Learning Convex Optimization Models
A convex optimization model predicts an output from an input by solving ...
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12/19/2019
Learning Convex Optimization Control Policies
Many control policies used in various applications determine the input o...
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10/28/2019
Differentiable Convex Optimization Layers
Recent work has shown how to embed differentiable optimization problems ...
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05/02/2019
Disciplined Quasiconvex Programming
We present a composition rule involving quasiconvex functions that gener...
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02/27/2019
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning
TensorFlow Eager is a multi-stage, Python-embedded domain-specific langu...
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12/10/2018
Disciplined Geometric Programming
We introduce log-log convex programs, which are optimization problems wi...
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09/13/2017