research
∙
07/22/2022
Complementing Semi-Supervised Learning with Uncertainty Quantification
The problem of fully supervised classification is that it requires a tre...
share
research
∙
12/03/2021
CTIN: Robust Contextual Transformer Network for Inertial Navigation
Recently, data-driven inertial navigation approaches have demonstrated t...
research
∙
04/06/2021
The Power of Subsampling in Submodular Maximization
We propose subsampling as a unified algorithmic technique for submodular...
research
∙
02/15/2021
Generating Structured Adversarial Attacks Using Frank-Wolfe Method
White box adversarial perturbations are generated via iterative optimiza...
research
∙
07/02/2020
Trace-Norm Adversarial Examples
White box adversarial perturbations are sought via iterative optimizatio...
research
∙
06/15/2020
On Adversarial Bias and the Robustness of Fair Machine Learning
Optimizing prediction accuracy can come at the expense of fairness. Towa...
research
∙
02/10/2020
Submodular Maximization Through Barrier Functions
In this paper, we introduce a novel technique for constrained submodular...
research
∙
02/10/2020
Regularized Submodular Maximization at Scale
In this paper, we propose scalable methods for maximizing a regularized ...
research
∙
02/09/2020
Streaming Submodular Maximization under a k-Set System Constraint
In this paper, we propose a novel framework that converts streaming algo...
research
∙
06/08/2019
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...
research
∙
05/02/2019
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...
research
∙
02/15/2019
Adaptive Sequence Submodularity
In many machine learning applications, one needs to interactively select...
research
∙
02/05/2019
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems
Nonconvex and nonsmooth problems have recently attracted considerable at...
research
∙
11/12/2018
Eliminating Latent Discrimination: Train Then Mask
How can we control for latent discrimination in predictive models? How c...
research
∙
10/17/2018
A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems
In this paper, we focus on solving an important class of nonconvex optim...
research
∙
06/07/2018
Data Summarization at Scale: A Two-Stage Submodular Approach
The sheer scale of modern datasets has resulted in a dire need for summa...
research
∙
04/26/2018
MPGM: Scalable and Accurate Multiple Network Alignment
Protein-protein interaction (PPI) network alignment is a canonical opera...
research
∙
02/20/2018
Do Less, Get More: Streaming Submodular Maximization with Subsampling
In this paper, we develop the first one-pass streaming algorithm for sub...
research
∙
02/20/2018
Comparison Based Learning from Weak Oracles
There is increasing interest in learning algorithms that involve interac...
research
∙
11/20/2017