
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction
Today's densely instrumented world offers tremendous opportunities for c...
read it

VirtualtoRealWorld Transfer Learning for Robots on Wilderness Trails
Robots hold promise in many scenarios involving outdoor use, such as sea...
read it

Stochastic Substitute Training: A Graybox Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses
It has been shown that adversaries can craft example inputs to neural ne...
read it

"Why is 'Chicago' deceptive?" Towards Building ModelDriven Tutorials for Humans
To support human decision making with machine learning models, we often ...
read it

On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection
Humans are the final decision makers in critical tasks that involve ethi...
read it

Interactive Learning for Identifying Relevant Tweets to Support Realtime Situational Awareness
Various domain users are increasingly leveraging realtime social media ...
read it

Equal Opportunity in Online Classification with Partial Feedback
We study an online classification problem with partial feedback in which...
read it

Decentralized & Collaborative AI on Blockchain
Machine learning has recently enabled large advances in artificial intel...
read it

Wandering Within a World: Online Contextualized FewShot Learning
We aim to bridge the gap between typical human and machinelearning envi...
read it

A tunable multiresolution smoother for scattered data with application to particle filtering
A smoothing algorithm is presented that can reduce the smallscale conte...
read it

Online Red Packets: A Largescale Empirical Study of Gift Giving on WeChat
Gift giving is a ubiquitous social phenomenon, and red packets have been...
read it

Discrete Event, Continuous Time RNNs
We investigate recurrent neural network architectures for eventsequence...
read it

"Dave...I can assure you...that it's going to be all right..."  A definition, case for, and survey of algorithmic assurances in humanautonomy trust relationships
As technology becomes more advanced, those who design, use and are other...
read it

Characterizing the structural diversity of complex networks across domains
The structure of complex networks has been of interest in many scientifi...
read it

Improving HumanMachine Cooperative Visual Search With Soft Highlighting
Advances in machine learning have produced systems that attain humanlev...
read it

"I can assure you [...] that it's going to be all right"  A definition, case for, and survey of algorithmic assurances in humanautonomy trust relationships
As technology become more advanced, those who design, use and are otherw...
read it

Preconditioned Spectral Clustering for Stochastic Block Partition Streaming Graph Challenge
Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) is demo...
read it

Improved FixedRank Nyström Approximation via QR Decomposition: Practical and Theoretical Aspects
The Nyström method is a popular technique for computing fixedrank appro...
read it

How deep is knowledge tracing?
In theoretical cognitive science, there is a tension between highly stru...
read it

A Neural Framework for Generalized Topic Models
Topic models for text corpora comprise a popular family of methods that ...
read it

Classifying Graphs as Images with Convolutional Neural Networks
The task of graph classification is currently dominated by graph kernels...
read it

Hybrid Repeat/Multipoint Sampling for Highly Volatile Objective Functions
A key drawback of the current generation of artificial decisionmakers i...
read it

Randomized Clustered Nystrom for LargeScale Kernel Machines
The Nystrom method has been popular for generating the lowrank approxim...
read it

A Signaling Game Approach to Databases Querying and Interaction
As most database users cannot precisely express their information needs,...
read it

The ground truth about metadata and community detection in networks
Across many scientific domains, there is a common need to automatically ...
read it

Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game
Interpersonal relations are fickle, with close friendships often dissolv...
read it

Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition
We focus on the robust principal component analysis (RPCA) problem, and ...
read it

Estimation of the sample covariance matrix from compressive measurements
This paper focuses on the estimation of the sample covariance matrix fro...
read it

Preconditioned Data Sparsification for Big Data with Applications to PCA and Kmeans
We analyze a compression scheme for large data sets that randomly keeps ...
read it

Detectability thresholds and optimal algorithms for community structure in dynamic networks
We study the fundamental limits on learning latent community structure i...
read it

Efficient Dictionary Learning via Very Sparse Random Projections
Performing signal processing tasks on compressive measurements of data h...
read it

A unified view of generative models for networks: models, methods, opportunities, and challenges
Research on probabilistic models of networks now spans a wide variety of...
read it

An Efficient Search Strategy for Aggregation and Discretization of Attributes of Bayesian Networks Using Minimum Description Length
Bayesian networks are convenient graphical expressions for high dimensio...
read it

Learning Latent Block Structure in Weighted Networks
Community detection is an important task in network analysis, in which w...
read it

Detecting change points in the largescale structure of evolving networks
Interactions among people or objects are often dynamic in nature and can...
read it

Loosely Coupled Formulations for Automated Planning: An Integer Programming Perspective
We represent planning as a set of loosely coupled network flow problems,...
read it

Active Discovery of Network Roles for Predicting the Classes of Network Nodes
Nodes in real world networks often have class labels, or underlying attr...
read it

Adapting the Stochastic Block Model to EdgeWeighted Networks
We generalize the stochastic block model to the important case in which ...
read it

Inverting Nonlinear Dimensionality Reduction with ScaleFree Radial Basis Function Interpolation
Nonlinear dimensionality reduction embeddings computed from datasets do ...
read it

Keeping greed good: sparse regression under design uncertainty with application to biomass characterization
In this paper, we consider the classic measurement error regression scen...
read it

Online SLAM with Anytime Selfcalibration and Automatic Change Detection
A framework for online simultaneous localization, mapping and selfcalib...
read it

Simultaneous Localization, Mapping, and Manipulation for Unsupervised Object Discovery
We present an unsupervised framework for simultaneous appearancebased o...
read it

NonAsymptotic Analysis of Tangent Space Perturbation
Constructing an efficient parameterization of a large, noisy data set of...
read it

A random walk on image patches
In this paper we address the problem of understanding the success of alg...
read it

Adapting to Nonstationarity with Growing Expert Ensembles
When dealing with time series with complex nonstationarities, low retro...
read it

Coherence, Belief Expansion and Bayesian Networks
We construct a probabilistic coherence measure for information sets whic...
read it

Locality and lowdimensions in the prediction of natural experience from fMRI
Functional Magnetic Resonance Imaging (fMRI) provides dynamical access i...
read it

Low Dimensional Embedding of fMRI datasets
We propose a novel method to embed a functional magnetic resonance imagi...
read it

Autocomplete Textures for 3D Printing
Texture is an essential property of physical objects that affects aesthe...
read it

Coping with Construals in BroadCoverage Semantic Annotation of Adpositions
We consider the semantics of prepositions, revisiting a broadcoverage a...
read it
University of Colorado Boulder
The University of Colorado Boulder is a public research university located in Boulder, Colorado, United States.