Hemant Tyagi

Orcid: 0009-0006-8194-7184

According to our database1, Hemant Tyagi authored at least 28 papers between 2006 and 2024.

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Bibliography

2024
Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method.
J. Mach. Learn. Res., 2024

Dynamic angular synchronization under smoothness constraints.
CoRR, 2024

Joint Learning of Linear Dynamical Systems under Smoothness Constraints.
CoRR, 2024

2023
Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method.
J. Mach. Learn. Res., 2023

Graph Matching via convex relaxation to the simplex.
CoRR, 2023

Learning linear dynamical systems under convex constraints.
CoRR, 2023

2022
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees.
Proceedings of the International Conference on Machine Learning, 2022

2021
Ranking and synchronization from pairwise measurements via SVD.
J. Mach. Learn. Res., 2021

Regularized spectral methods for clustering signed networks.
J. Mach. Learn. Res., 2021

Clustering multilayer graphs with missing nodes.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Recovering Hölder smooth functions from noisy modulo samples.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping.
J. Mach. Learn. Res., 2020

An extension of the angular synchronization problem to the heterogeneous setting.
CoRR, 2020

2019
SPONGE: A generalized eigenproblem for clustering signed networks.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method.
CoRR, 2018

Sparse non-negative super-resolution - simplified and stabilised.
CoRR, 2018

Non-Negative Super-Resolution is Stable.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

On denoising modulo 1 samples of a function.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016
On low dimensional models for functions in high dimensions.
PhD thesis, 2016

On Two Continuum Armed Bandit Problems in High Dimensions.
Theory Comput. Syst., 2016

Algorithms for Learning Sparse Additive Models with Interactions in High Dimensions.
CoRR, 2016

Learning Sparse Additive Models with Interactions in High Dimensions.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2014
Efficient Sampling for Learning Sparse Additive Models in High Dimensions.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Stochastic continuum armed bandit problem of few linear parameters in high dimensions.
CoRR, 2013

Continuum Armed Bandit Problem of Few Variables in High Dimensions.
Proceedings of the Approximation and Online Algorithms - 11th International Workshop, 2013

2012
Active Learning of Multi-Index Function Models.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning ridge functions with randomized sampling in high dimensions.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2006
Automatic identification of bird calls using Spectral Ensemble Average Voice Prints.
Proceedings of the 14th European Signal Processing Conference, 2006


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