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11/08/2021
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
We derive information-theoretic lower bounds on the Bayes risk and gener...
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06/10/2020
Anytime MiniBatch: Exploiting Stragglers in Online Distributed Optimization
Distributed optimization is vital in solving large-scale machine learnin...
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05/18/2020
Scaling-up Distributed Processing of Data Streams for Machine Learning
Emerging applications of machine learning in numerous areas involve cont...
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04/15/2020
Learning Furniture Compatibility with Graph Neural Networks
We propose a graph neural network (GNN) approach to the problem of predi...
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03/18/2019
An Effective Label Noise Model for DNN Text Classification
Because large, human-annotated datasets suffer from labeling errors, it ...
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11/11/2018
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining
In this paper, we develop a reinforcement learning (RL) based system to ...
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10/26/2018
Information Bottleneck Methods for Distributed Learning
We study a distributed learning problem in which Alice sends a compresse...
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10/25/2018
Tensor Matched Kronecker-Structured Subspace Detection for Missing Information
We consider the problem of detecting whether a tensor signal having many...
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02/23/2018
Multi-scale Spectrum Sensing in 5G Cognitive Networks
A multi-scale approach to spectrum sensing is proposed to overcome the h...
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10/12/2017
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip
In building intelligent transportation systems such as taxi or rideshare...
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05/09/2017
Learning Deep Networks from Noisy Labels with Dropout Regularization
Large datasets often have unreliable labels-such as those obtained from ...
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05/07/2017
Performance Limits on the Classification of Kronecker-structured Models
Kronecker-structured (K-S) models recently have been proposed for the ef...
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04/25/2017
Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks
Motivated by machine learning applications in networks of sensors, inter...
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05/08/2016
