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06/15/2023
Stable Tomography for Structured Quantum States
The reconstruction of quantum states from experimental measurements, oft...
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07/09/2022
Error Analysis of Tensor-Train Cross Approximation
Tensor train decomposition is widely used in machine learning and quantu...
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06/07/2022
Restricted Domain Compressive Sensing for Antenna Metrology
In this paper, we prove a compressive sensing guarantee for restricted m...
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06/16/2021
Recovery Guarantees for Time-varying Pairwise Comparison Matrices with Non-transitivity
Pairwise comparison matrices have received substantial attention in a va...
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06/11/2021
Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem
Spectral methods include a family of algorithms related to the eigenvect...
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03/08/2021
Digital Beamforming Robust to Time-Varying Carrier Frequency Offset
Adaptive interference cancellation is rapidly becoming a necessity for o...
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11/18/2019
The Effectiveness of Variational Autoencoders for Active Learning
The high cost of acquiring labels is one of the main challenges in deplo...
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10/29/2019
Support Recovery for Sparse Signals with Non-stationary Modulation
The problem of estimating a sparse signal from low dimensional noisy obs...
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07/11/2019
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
The landscape of empirical risk has been widely studied in a series of m...
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04/22/2019
Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems
The (global) Lipschitz smoothness condition is crucial in establishing t...
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02/14/2019
Atomic Norm Denoising for Complex Exponentials with Unknown Waveform Modulations
Non-stationary blind super-resolution is an extension of the traditional...
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02/13/2019
Simultaneous Sparse Recovery and Blind Demodulation
The task of finding a sparse signal decomposition in an overcomplete dic...
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11/07/2018
Global Optimality in Distributed Low-rank Matrix Factorization
We study the convergence of a variant of distributed gradient descent (D...
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06/09/2018
An Optimization View of MUSIC and Its Extension to Missing Data
One of the classical approaches for estimating the frequencies and dampi...
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05/13/2018
The Global Optimization Geometry of Shallow Linear Neural Networks
We examine the squared error loss landscape of shallow linear neural net...
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12/13/2017
ROAST: Rapid Orthogonal Approximate Slepian Transform
In this paper, we provide a Rapid Orthogonal Approximate Slepian Transfo...
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02/05/2010
