
On the Sample Complexity of Rank Regression from Pairwise Comparisons
We consider a rank regression setting, in which a dataset of N samples w...
read it

Machine Learning on Camera Images for Fast mmWave Beamforming
Perfect alignment in chosen beam sectors at both transmit and receiven...
read it

NoRegret Caching via Online Mirror Descent
We study an online caching problem in which requests can be served by a ...
read it

Submodular Maximization via Taylor Series Approximation
We study submodular maximization problems with matroid constraints, in p...
read it

Rate Allocation and Content Placement in Cache Networks
We introduce the problem of optimal congestion control in cache networks...
read it

OpenWorld Class Discovery with Kernel Networks
We study an OpenWorld Class Discovery problem in which, given labeled t...
read it

LearnPruneShare for Lifelong Learning
In lifelong learning, we wish to maintain and update a model (e.g., a ne...
read it

Bandits Under The Influence (Extended Version)
Recommender systems should adapt to user interests as the latter evolve....
read it

SIFO: Secure Computational Infrastructure using FPGA Overlays
Secure Function Evaluation (SFE) has received recent attention due to th...
read it

Iterative Spectral Method for Alternative Clustering
Given a dataset and an existing clustering as input, alternative cluster...
read it

Deep Kernel Learning for Clustering
We propose a deep learning approach for discovering kernels tailored to ...
read it

DeepRadioID: RealTime ChannelResilient Optimization of Deep Learningbased Radio Fingerprinting Algorithms
Radio fingerprinting provides a reliable and energyefficient IoT authen...
read it

Accelerated Experimental Design for Pairwise Comparisons
Pairwise comparison labels are more informative and less variable than c...
read it

Kelly Cache Networks
We study networks of M/M/1 queues in which nodes act as caches that stor...
read it

ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks
This paper describes the architecture and performance of ORACLE, an appr...
read it

Deep feature transfer between localization and segmentation tasks
In this paper, we propose a new pretraining scheme for Unet based imag...
read it

TimeSeries Prediction of Proximal Aggression Onset in MinimallyVerbal Youth with Autism Spectrum Disorder Using Physiological Biosignals
It has been suggested that changes in physiological arousal precede pote...
read it

Intermediate Data Caching Optimization for MultiStage and Parallel Big Data Frameworks
In the era of big data and cloud computing, large amounts of data are ge...
read it

A Family of Tractable Graph Distances
Important data mining problems such as nearestneighbor search and clust...
read it

Learning Combinations of Sigmoids Through Gradient Estimation
We develop a new approach to learn the parameters of regression models w...
read it

Truthful Linear Regression
We consider the problem of fitting a linear model to data held by indivi...
read it

Guess Who Rated This Movie: Identifying Users Through Subspace Clustering
It is often the case that, within an online recommender system, multiple...
read it

Learning Mixtures of Linear Classifiers
We consider a discriminative learning (regression) problem, whereby the ...
read it

Identifying Users From Their Rating Patterns
This paper reports on our analysis of the 2011 CAMRa Challenge dataset (...
read it

ComparisonBased Learning with Rank Nets
We consider the problem of search through comparisons, where a user is p...
read it

From SmallWorld Networks to ComparisonBased Search
The problem of content search through comparisons has recently received ...
read it
Stratis Ioannidis
is this you? claim profile