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Generating Structured Adversarial Attacks Using Frank-Wolfe Method
White box adversarial perturbations are generated via iterative optimiza...
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Trace-Norm Adversarial Examples
White box adversarial perturbations are sought via iterative optimizatio...
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On Adversarial Bias and the Robustness of Fair Machine Learning
Optimizing prediction accuracy can come at the expense of fairness. Towa...
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Submodular Maximization Through Barrier Functions
In this paper, we introduce a novel technique for constrained submodular...
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Regularized Submodular Maximization at Scale
In this paper, we propose scalable methods for maximizing a regularized ...
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Streaming Submodular Maximization under a k-Set System Constraint
In this paper, we propose a novel framework that converts streaming algo...
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Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods
Nektar++ is an open-source framework that provides a flexible, high-perf...
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Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity
Streaming algorithms are generally judged by the quality of their soluti...
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Adaptive Sequence Submodularity
In many machine learning applications, one needs to interactively select...
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Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems
Nonconvex and nonsmooth problems have recently attracted considerable at...
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Eliminating Latent Discrimination: Train Then Mask
How can we control for latent discrimination in predictive models? How c...
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A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems
In this paper, we focus on solving an important class of nonconvex optim...
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Data Summarization at Scale: A Two-Stage Submodular Approach
The sheer scale of modern datasets has resulted in a dire need for summa...
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MPGM: Scalable and Accurate Multiple Network Alignment
Protein-protein interaction (PPI) network alignment is a canonical opera...
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Do Less, Get More: Streaming Submodular Maximization with Subsampling
In this paper, we develop the first one-pass streaming algorithm for sub...
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Comparison Based Learning from Weak Oracles
There is increasing interest in learning algorithms that involve interac...
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Deletion-Robust Submodular Maximization at Scale
Can we efficiently extract useful information from a large user-generate...
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