521 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Rutgers, The State University of New JerseyUS164 papers
- Fermi National Accelerator LaboratoryUS45 papers
- California Institute of TechnologyUS44 papers
- Carnegie Mellon UniversityUS37 papers
- University of California, Santa BarbaraUS37 papers
- University of ChicagoUS37 papers
- University of Minnesota SystemUS36 papers
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES35 papers
- Unidades Centrales Científico-TécnicasES35 papers
- University of California, RiversideUS35 papers
- University of California, DavisUS34 papers
- Florida Department of StateUS33 papers
9 papers · 1 filter
Internames: a name-to-name principle for the future Internet
Nicola Blefari Melazzi, Andrea Detti, Mayutan Arumaithurai +1
We propose Internames, an architectural framework in which names are used to identify all entities involved in communication: contents, users, devices, logical as well as physical…
A Study of Actor and Action Semantic Retention in Video Supervoxel Segmentation
Chenliang Xu, Richard F. Doell, Stephen José Hanson +2
Existing methods in the semantic computer vision community seem unable to deal with the explosion and richness of modern, open-source and social video content. Although sophisticat…
Dark Sectors and New, Light, Weakly-Coupled Particles
R. Essig, J. A. Jaros, W. Wester +86
Dark sectors, consisting of new, light, weakly-coupled particles that do not interact with the known strong, weak, or electromagnetic forces, are a particularly compelling possibil…
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
Shai Shalev-Shwartz, Tong Zhang
We introduce a proximal version of the stochastic dual coordinate ascent method and show how to accelerate the method using an inner-outer iteration procedure. We analyze the runti…
High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning
Krishnakumar Balasubramanian, Kai Yu, Tong Zhang
Joint sparsity regularization in multi-task learning has attracted much attention in recent years. The traditional convex formulation employs the group Lasso relaxation to achieve…
The Effect of Biased Communications On Both Trusting and Suspicious Voters
William W. Cohen, David P. Redlawsk, Douglas Pierce
In recent studies of political decision-making, apparently anomalous behavior has been observed on the part of voters, in which negative information about a candidate strengthens,…
Reallocation Problems in Scheduling
Michael A. Bender, Martin Farach-Colton, Sándor P. Fekete +2
In traditional on-line problems, such as scheduling, requests arrive over time, demanding available resources. As each request arrives, some resources may have to be irrevocably co…
Incorporating external information in analyses of clinical trials with binary outcomes
Minge Xie, Regina Y. Liu, C. V. Damaraju +1
External information, such as prior information or expert opinions, can play an important role in the design, analysis and interpretation of clinical trials. However, little attent…
Introduction to the Special Issue on Sparsity and Regularization Methods
Jon Wellner, Tong Zhang
Traditional statistical inference considers relatively small data sets and the corresponding theoretical analysis focuses on the asymptotic behavior of a statistical estimator when…