Automatic identification of bird calls using Spectral Ensemble Average Voice Prints. - Hemant Tyagi; Rajesh M. Hegde; Hema A. Murthy; Anil Prabhakar (EUSIPCO, 2006)

Learning ridge functions with randomized sampling in high dimensions. - Hemant Tyagi; Volkan Cevher (ICASSP, 2012)

Active Learning of Multi-Index Function Models. - Hemant Tyagi; Volkan Cevher (NIPS, 2012)

Continuum Armed Bandit Problem of Few Variables in High Dimensions. - Hemant Tyagi; Bernd Gärtner (WAOA, 2013)

Stochastic continuum armed bandit problem of few linear parameters in high dimensions. - Hemant Tyagi; Sebastian U. Stich; Bernd Gärtner (CoRR, 2013)

Efficient Sampling for Learning Sparse Additive Models in High Dimensions. - Hemant Tyagi; Bernd Gärtner; Andreas Krause 001 (NIPS, 2014)

Learning Sparse Additive Models with Interactions in High Dimensions. - Hemant Tyagi; Anastasios Kyrillidis; Bernd Gärtner; Andreas Krause 001 (AISTATS, 2016)

Algorithms for Learning Sparse Additive Models with Interactions in High Dimensions. - Hemant Tyagi; Anastasios Kyrillidis; Bernd Gärtner; Andreas Krause 001 (CoRR, 2016)

On Two Continuum Armed Bandit Problems in High Dimensions. - Hemant Tyagi; Sebastian U. Stich; Bernd Gärtner (Theory Comput. Syst., 2016)

On low dimensional models for functions in high dimensions. - Hemant Tyagi (2016)

On denoising modulo 1 samples of a function. - Mihai Cucuringu; Hemant Tyagi (AISTATS, 2018)

Non-Negative Super-Resolution is Stable. - Armin Eftekhari; Jared Tanner; Andrew Thompson 001; Bogdan Toader; Hemant Tyagi (DSW, 2018)

Sparse non-negative super-resolution - simplified and stabilised. - Armin Eftekhari; Jared Tanner; Andrew Thompson 001; Bogdan Toader; Hemant Tyagi (CoRR, 2018)

Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method. - Stéphane Chrétien; Hemant Tyagi (CoRR, 2018)

SPONGE: A generalized eigenproblem for clustering signed networks. - Mihai Cucuringu; Peter Davies 001; Aldo Glielmo; Hemant Tyagi (AISTATS, 2019)

An extension of the angular synchronization problem to the heterogeneous setting. - Mihai Cucuringu; Hemant Tyagi (CoRR, 2020)

Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping. - Mihai Cucuringu; Hemant Tyagi (J. Mach. Learn. Res., 2020)

Recovering Hölder smooth functions from noisy modulo samples. - Michaël Fanuel; Hemant Tyagi (ACSCC, 2021)

Clustering multilayer graphs with missing nodes. - Guillaume Braun; Hemant Tyagi; Christophe Biernacki (AISTATS, 2021)

Regularized spectral methods for clustering signed networks. - Mihai Cucuringu; Apoorv Vikram Singh; Déborah Sulem; Hemant Tyagi (J. Mach. Learn. Res., 2021)

Ranking and synchronization from pairwise measurements via SVD. - Alexandre d'Aspremont; Mihai Cucuringu; Hemant Tyagi (J. Mach. Learn. Res., 2021)

An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. - Guillaume Braun; Hemant Tyagi; Christophe Biernacki (ICML, 2022)

Learning linear dynamical systems under convex constraints. - Hemant Tyagi; Denis V. Efimov (CoRR, 2023)

Graph Matching via convex relaxation to the simplex. - Ernesto Araya Valdivia; Hemant Tyagi (CoRR, 2023)

Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method. - Eglantine Karlé; Hemant Tyagi (J. Mach. Learn. Res., 2023)

Joint Learning of Linear Dynamical Systems under Smoothness Constraints. - Hemant Tyagi (CoRR, 2024)

Dynamic angular synchronization under smoothness constraints. - Ernesto Araya Valdivia; Mihai Cucuringu; Hemant Tyagi (CoRR, 2024)

Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method. - Ernesto Araya Valdivia; Guillaume Braun; Hemant Tyagi (J. Mach. Learn. Res., 2024)

Joint estimation of smooth graph signals from partial linear measurements. - Hemant Tyagi (CoRR, 2025)