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05/23/2023
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness
This work introduces the first small-loss and gradual-variation regret b...
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11/23/2022
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography
In maximum-likelihood quantum state tomography, both the sample size and...
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10/03/2022
Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States
Consider an online convex optimization problem where the loss functions ...
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10/02/2021
Maximum-Likelihood Quantum State Tomography by Cover's Method with Non-Asymptotic Analysis
We propose an iterative algorithm that computes the maximum-likelihood e...
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09/13/2021
Minimizing Quantum Renyi Divergences via Mirror Descent with Polyak Step Size
Quantum information quantities play a substantial role in characterizing...
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12/31/2020
An Online Algorithm for Maximum-Likelihood Quantum State Tomography
We propose, to the best of our knowledge, the first online algorithm for...
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05/03/2018
Learning-Based Compressive MRI
In the area of magnetic resonance imaging (MRI), an extensive range of n...
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02/01/2016
Learning Data Triage: Linear Decoding Works for Compressive MRI
The standard approach to compressive sampling considers recovering an un...
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10/21/2015
Learning-based Compressive Subsampling
The problem of recovering a structured signal x∈C^p from a set of dimens...
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02/04/2015