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09/19/2022
State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks
Implicit models are a general class of learning models that forgo the hi...
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08/19/2022
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
We address the problem of unsupervised extractive document summarization...
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12/18/2021
Data-Driven Reachability analysis and Support set Estimation with Christoffel Functions
We present algorithms for estimating the forward reachable set of a dyna...
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09/24/2021
Learning-based Initialization Strategy for Safety of Multi-Vehicle Systems
Multi-vehicle collision avoidance is a highly crucial problem due to the...
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09/08/2021
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
Neural network controllers have become popular in control tasks thanks t...
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08/05/2021
Reachability-based Safe Planning for Multi-Vehicle Systems withMultiple Targets
Recently there have been a lot of interests in introducing UAVs for a wi...
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11/26/2020
Text Analytics for Resilience-Enabled Extreme EventsReconnaissance
Post-hazard reconnaissance for natural disasters (e.g., earthquakes) is ...
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09/14/2020
Implicit Graph Neural Networks
Graph Neural Networks (GNNs) are widely used deep learning models that l...
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06/15/2020
FANOK: Knockoffs in Linear Time
We describe a series of algorithms that efficiently implement Gaussian m...
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08/17/2019
Implicit Deep Learning
We define a new class of "implicit" deep learning prediction rules that ...
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05/23/2019
Naive Feature Selection: Sparsity in Naive Bayes
Due to its linear complexity, naive Bayes classification remains an attr...
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01/24/2019
Theoretically Principled Trade-off between Robustness and Accuracy
We identify a trade-off between robustness and accuracy that serves as a...
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11/20/2018
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training
Despite the recent successes of deep neural networks, the corresponding ...
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11/06/2018
Frank-Wolfe Algorithm for Exemplar Selection
In this paper, we consider the problem of selecting representatives from...
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06/18/2018
Kernel-based Outlier Detection using the Inverse Christoffel Function
Outlier detection methods have become increasingly relevant in recent ye...
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05/03/2018
Lifted Neural Networks
We describe a novel family of models of multi- layer feedforward neural ...
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10/30/2014
Robust sketching for multiple square-root LASSO problems
Many learning tasks, such as cross-validation, parameter search, or leav...
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10/26/2012