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09/04/2023
Robust Online Classification: From Estimation to Denoising
We study online classification in the presence of noisy labels. The nois...
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01/31/2023
Online Learning in Dynamically Changing Environments
We study the problem of online learning and online regret minimization w...
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09/09/2022
Expected Worst Case Regret via Stochastic Sequential Covering
We study the problem of sequential prediction and online minimax regret ...
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05/07/2022
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm
We study the sequential general online regression, known also as the seq...
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04/28/2022
CKH: Causal Knowledge Hierarchy for Estimating Structural Causal Models from Data and Priors
Structural causal models (SCMs) provide a principled approach to identif...
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03/22/2022
Toward Physically Realizable Quantum Neural Networks
There has been significant recent interest in quantum neural networks (Q...
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07/20/2020
Collaborative Cloud Computing Framework for Health Data with Open Source Technologies
The proliferation of sensor technologies and advancements in data collec...
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08/09/2019
Rigid Graph Alignment
Graph databases have been the subject of significant research and develo...
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08/08/2019
De-anonymization Attacks on Neuroimaging Datasets
Advances in imaging technologies, combined with inexpensive storage, hav...
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09/21/2018
Low rank methods for multiple network alignment
Multiple network alignment is the problem of identifying similar and rel...
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07/18/2018
Distributed Second-order Convex Optimization
Convex optimization problems arise frequently in diverse machine learnin...
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05/22/2018
Constructing Compact Brain Connectomes for Individual Fingerprinting
Recent neuroimaging studies have shown that functional connectomes are u...
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02/26/2018
GPU Accelerated Sub-Sampled Newton's Method
First order methods, which solely rely on gradient information, are comm...
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01/03/2018