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01/29/2021
Covariance Prediction via Convex Optimization
We consider the problem of predicting the covariance of a zero mean Gaus...
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01/29/2021
Low Rank Forecasting
We consider the problem of forecasting multiple values of the future of ...
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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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05/18/2020
Optimal Representative Sample Weighting
We consider the problem of assigning weights to a set of samples or data...
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03/05/2020
Convex Optimization Over Risk-Neutral Probabilities
We consider a collection of derivatives that depend on the price of an u...
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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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10/27/2019
Minimizing a Sum of Clipped Convex Functions
We consider the problem of minimizing a sum of clipped convex functions;...
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04/26/2019
A Distributed Method for Fitting Laplacian Regularized Stratified Models
Stratified models are models that depend in an arbitrary way on a set of...
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04/10/2019
Least Squares Auto-Tuning
Least squares is by far the simplest and most commonly applied computati...
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10/22/2018
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data
Models for predicting aircraft motion are an important component of mode...
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07/24/2018
Improved Training with Curriculum GANs
In this paper we introduce Curriculum GANs, a curriculum learning strate...
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05/18/2018
Optimizing for Generalization in Machine Learning with Cross-Validation Gradients
Cross-validation is the workhorse of modern applied statistics and machi...
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01/14/2018
Cooperative Multi-Agent Reinforcement Learning for Low-Level Wireless Communication
Traditional radio systems are strictly co-designed on the lower levels o...
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01/06/2018
A Note on the Inception Score
Deep generative models are powerful tools that have produced impressive ...
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12/28/2017
Active Robotic Mapping through Deep Reinforcement Learning
We propose an approach to learning agents for active robotic mapping, wh...
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10/26/2017