Search Results for author: Giang Tran

Found 6 papers, 2 papers with code

SRMD: Sparse Random Mode Decomposition

1 code implementation12 Apr 2022 Nicholas Richardson, Hayden Schaeffer, Giang Tran

Signal decomposition and multiscale signal analysis provide many useful tools for time-frequency analysis.

Benchmark Time Series

HARFE: Hard-Ridge Random Feature Expansion

no code implementations6 Feb 2022 Esha Saha, Hayden Schaeffer, Giang Tran

We prove that the HARFE method is guaranteed to converge with a given error bound depending on the noise and the parameters of the sparse ridge regression model.

Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data

no code implementations24 Aug 2021 Lam Si Tung Ho, Nicholas Richardson, Giang Tran

In this paper, we propose an adaptive group Lasso deep neural network for high-dimensional function approximation where input data are generated from a dynamical system and the target function depends on few active variables or few linear combinations of variables.

Generalization Bounds for Sparse Random Feature Expansions

1 code implementation4 Mar 2021 Abolfazl Hashemi, Hayden Schaeffer, Robert Shi, Ufuk Topcu, Giang Tran, Rachel Ward

In particular, we provide generalization bounds for functions in a certain class (that is dense in a reproducing kernel Hilbert space) depending on the number of samples and the distribution of features.

Compressive Sensing Generalization Bounds

Recovery guarantees for polynomial approximation from dependent data with outliers

no code implementations25 Nov 2018 Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel Ward

In this work, we study the problem of learning nonlinear functions from corrupted and dependent data.

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