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09/08/2023
Online Submodular Maximization via Online Convex Optimization
We study monotone submodular maximization under general matroid constrai...
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06/01/2023
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications
Federated learning (FL) is a decentralized learning framework wherein a ...
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05/10/2023
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming
Creating a digital world that closely mimics the real world with its man...
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04/30/2023
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
Rehearsal-based approaches are a mainstay of continual learning (CL). Th...
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04/16/2023
Explanations of Black-Box Models based on Directional Feature Interactions
As machine learning algorithms are deployed ubiquitously to a variety of...
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03/17/2023
Stochastic Submodular Maximization via Polynomial Estimators
In this paper, we study stochastic submodular maximization problems with...
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02/06/2023
Jointly Optimal Routing and Caching with Bounded Link Capacities
We study a cache network in which intermediate nodes equipped with cache...
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01/26/2023
AlignGraph: A Group of Generative Models for Graphs
It is challenging for generative models to learn a distribution over gra...
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10/09/2022
Pruning Adversarially Robust Neural Networks without Adversarial Examples
Adversarial pruning compresses models while preserving robustness. Curre...
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02/19/2022
Differentially Private Regression with Unbounded Covariates
We provide computationally efficient, differentially private algorithms ...
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01/13/2022
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints
Significant advances in edge computing capabilities enable learning to o...
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01/12/2022
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network
Beam selection for millimeter-wave links in a vehicular scenario is a ch...
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06/20/2021
Robust Regression via Model Based Methods
The mean squared error loss is widely used in many applications, includi...
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06/04/2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
We investigate the HSIC (Hilbert-Schmidt independence criterion) bottlen...
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05/04/2021
On the Sample Complexity of Rank Regression from Pairwise Comparisons
We consider a rank regression setting, in which a dataset of N samples w...
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02/15/2021
Machine Learning on Camera Images for Fast mmWave Beamforming
Perfect alignment in chosen beam sectors at both transmit- and receive-n...
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01/29/2021
No-Regret Caching via Online Mirror Descent
We study an online caching problem in which requests can be served by a ...
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01/19/2021
Submodular Maximization via Taylor Series Approximation
We study submodular maximization problems with matroid constraints, in p...
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01/09/2021
Rate Allocation and Content Placement in Cache Networks
We introduce the problem of optimal congestion control in cache networks...
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12/13/2020
Open-World Class Discovery with Kernel Networks
We study an Open-World Class Discovery problem in which, given labeled t...
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12/13/2020
Learn-Prune-Share for Lifelong Learning
In lifelong learning, we wish to maintain and update a model (e.g., a ne...
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09/21/2020
Bandits Under The Influence (Extended Version)
Recommender systems should adapt to user interests as the latter evolve....
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11/22/2019
SIFO: Secure Computational Infrastructure using FPGA Overlays
Secure Function Evaluation (SFE) has received recent attention due to th...
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09/08/2019
Iterative Spectral Method for Alternative Clustering
Given a dataset and an existing clustering as input, alternative cluster...
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08/09/2019
Deep Kernel Learning for Clustering
We propose a deep learning approach for discovering kernels tailored to ...
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04/16/2019
DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms
Radio fingerprinting provides a reliable and energy-efficient IoT authen...
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01/18/2019
Accelerated Experimental Design for Pairwise Comparisons
Pairwise comparison labels are more informative and less variable than c...
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01/14/2019
Kelly Cache Networks
We study networks of M/M/1 queues in which nodes act as caches that stor...
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12/03/2018
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks
This paper describes the architecture and performance of ORACLE, an appr...
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11/06/2018
Deep feature transfer between localization and segmentation tasks
In this paper, we propose a new pre-training scheme for U-net based imag...
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09/15/2018
Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals
It has been suggested that changes in physiological arousal precede pote...
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04/27/2018
Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks
In the era of big data and cloud computing, large amounts of data are ge...
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01/12/2018
A Family of Tractable Graph Distances
Important data mining problems such as nearest-neighbor search and clust...
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08/22/2017
Learning Combinations of Sigmoids Through Gradient Estimation
We develop a new approach to learn the parameters of regression models w...
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06/10/2015
Truthful Linear Regression
We consider the problem of fitting a linear model to data held by indivi...
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08/09/2014
Guess Who Rated This Movie: Identifying Users Through Subspace Clustering
It is often the case that, within an online recommender system, multiple...
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11/11/2013
Learning Mixtures of Linear Classifiers
We consider a discriminative learning (regression) problem, whereby the ...
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07/26/2012
Identifying Users From Their Rating Patterns
This paper reports on our analysis of the 2011 CAMRa Challenge dataset (...
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06/18/2012
Comparison-Based Learning with Rank Nets
We consider the problem of search through comparisons, where a user is p...
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07/15/2011