31 citations · 110 across the 14 of their papers we have counts for
14 papers
A Statistical Interpretation of the Maximum Subarray Problem
Dennis Wei, Dmitry M. Malioutov
Maximum subarray is a classical problem in computer science that given an array of numbers aims to find a contiguous subarray with the largest sum. We focus on its use for a noisy…
Convex Bounds on the Softmax Function with Applications to Robustness Verification
Dennis Wei, Haoze Wu, Min Wu +3
The softmax function is a ubiquitous component at the output of neural networks and increasingly in intermediate layers as well. This paper provides convex lower bounds and concave…
Statistical Estimation and Clustering of Group-invariant Orientation Parameters
Yu-Hui Chen, Dennis Wei, Gregory Newstadt +3
We treat the problem of estimation of orientation parameters whose values are invariant to transformations from a spherical symmetry group. Previous work has shown that any such gr…
A Dictionary Approach to EBSD Indexing
Yu-Hui Chen, Se Un Park, Dennis Wei +5
We propose a framework for indexing of grain and sub-grain structures in electron backscatter diffraction (EBSD) images of polycrystalline materials. The framework is based on a pr…
Coercive Region-level Registration for Multi-modal Images
Yu-Hui Chen, Dennis Wei, Gregory Newstadt +2
We propose a coercive approach to simultaneously register and segment multi-modal images which share similar spatial structure. Registration is done at the region level to facilita…
Parameter estimation in spherical symmetry groups
Yu-Hui Chen, Dennis Wei, Gregory Newstadt +3
This paper considers statistical estimation problems where the probability distribution of the observed random variable is invariant with respect to actions of a finite topological…
Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance
Gregory E. Newstadt, Beipeng Mu, Dennis Wei +2
In sparse target inference problems it has been shown that significant gains can be achieved by adaptive sensing using convex criteria. We generalize previous work on adaptive sens…
Spectral Correlation Hub Screening of Multivariate Time Series
Hamed Firouzi, Dennis Wei, Alfred O. Hero
This chapter discusses correlation analysis of stationary multivariate Gaussian time series in the spectral or Fourier domain. The goal is to identify the hub time series, i.e., th…
Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets
Gregory E. Newstadt, Dennis L. Wei, Alfred O. Hero
This paper considers the problem of resource-constrained and noise-limited localization and estimation of dynamic targets that are sparsely distributed over a large area. We genera…
Performance Guarantees for Adaptive Estimation of Sparse Signals
Dennis Wei, Alfred O. Hero
This paper studies adaptive sensing for estimating the nonzero amplitudes of a sparse signal with the aim of providing analytical guarantees on the performance gain due to adaptive…
Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models
Zhaoshi Meng, Dennis Wei, Ami Wiesel +1
We consider distributed estimation of the inverse covariance matrix, also called the concentration or precision matrix, in Gaussian graphical models. Traditional centralized estima…
On two relaxations of quadratically-constrained cardinality minimization
Dennis Wei
This paper considers a quadratically-constrained cardinality minimization problem with applications to digital filter design, subset selection for linear regression, and portfolio…
Multistage Adaptive Estimation of Sparse Signals
Dennis Wei, Alfred O. Hero
This paper considers sequential adaptive estimation of sparse signals under a constraint on the total sensing effort. The advantage of adaptivity in this context is the ability to…
Ensemble estimators for multivariate entropy estimation
Kumar Sricharan, Dennis Wei, Alfred O. Hero
The problem of estimation of density functionals like entropy and mutual information has received much attention in the statistics and information theory communities. A large class…