Hemant Tyagi - RankMe

37 papers A* 1A 4B 1Misc 1Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dynamic angular synchronization under smoothness constraints. J. Mach. Learn. Res. Ernesto Araya Valdivia, Mihai Cucuringu, Hemant Tyagi
2025	J	`jnl`	Joint estimation of smooth graph signals from partial linear measurements. CoRR Hemant Tyagi
2024	J	`jnl`	Dynamic angular synchronization under smoothness constraints. CoRR Ernesto Araya Valdivia, Mihai Cucuringu, Hemant Tyagi
2024	J	`jnl`	Joint Learning of Linear Dynamical Systems under Smoothness Constraints. CoRR Hemant Tyagi
2024	J	`jnl`	Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method. J. Mach. Learn. Res. Ernesto Araya Valdivia, Guillaume Braun, Hemant Tyagi
2023	J	`jnl`	Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method. J. Mach. Learn. Res. Eglantine Karlé, Hemant Tyagi
2023	J	`jnl`	Graph Matching via convex relaxation to the simplex. CoRR Ernesto Araya Valdivia, Hemant Tyagi
2023	J	`jnl`	Learning linear dynamical systems under convex constraints. CoRR Hemant Tyagi, Denis V. Efimov
2022	A*	`conf`	An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. ICML Guillaume Braun, Hemant Tyagi, Christophe Biernacki
2021	J	`jnl`	An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. CoRR Guillaume Braun, Hemant Tyagi, Christophe Biernacki
2021	A	`conf`	Clustering multilayer graphs with missing nodes. AISTATS Guillaume Braun, Hemant Tyagi, Christophe Biernacki
2021	J	`jnl`	Clustering multilayer graphs with missing nodes. CoRR Guillaume Braun, Hemant Tyagi, Christophe Biernacki
2021	J	`jnl`	Ranking and synchronization from pairwise measurements via SVD. J. Mach. Learn. Res. Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi
2021	—	`conf`	Recovering Hölder smooth functions from noisy modulo samples. ACSCC Michaël Fanuel, Hemant Tyagi
2021	J	`jnl`	Regularized spectral methods for clustering signed networks. J. Mach. Learn. Res. Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi
2020	J	`jnl`	An extension of the angular synchronization problem to the heterogeneous setting. CoRR Mihai Cucuringu, Hemant Tyagi
2020	J	`jnl`	Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping. J. Mach. Learn. Res. Mihai Cucuringu, Hemant Tyagi
2020	J	`jnl`	Regularized spectral methods for clustering signed networks. CoRR Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi
2019	J	`jnl`	Ranking and synchronization from pairwise measurements via SVD. CoRR Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi
2019	A	`conf`	SPONGE: A generalized eigenproblem for clustering signed networks. AISTATS Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi
2019	J	`jnl`	SPONGE: A generalized eigenproblem for clustering signed networks. CoRR Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi
2018	J	`jnl`	Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method. CoRR Stéphane Chrétien, Hemant Tyagi
2018	—	`conf`	Non-Negative Super-Resolution is Stable. DSW Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi
2018	A	`conf`	On denoising modulo 1 samples of a function. AISTATS Mihai Cucuringu, Hemant Tyagi
2018	J	`jnl`	Sparse non-negative super-resolution - simplified and stabilised. CoRR Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi
2016	J	`jnl`	Algorithms for Learning Sparse Additive Models with Interactions in High Dimensions. CoRR Hemant Tyagi, Anastasios Kyrillidis, Bernd Gärtner, Andreas Krause
2016	A	`conf`	Learning Sparse Additive Models with Interactions in High Dimensions. AISTATS Hemant Tyagi, Anastasios Kyrillidis, Bernd Gärtner, Andreas Krause
2016	J	`jnl`	Learning Sparse Additive Models with Interactions in High Dimensions. CoRR Hemant Tyagi, Anastasios Kyrillidis, Bernd Gärtner, Andreas Krause
2016	J	`jnl`	On Two Continuum Armed Bandit Problems in High Dimensions. Theory Comput. Syst. Hemant Tyagi, Sebastian U. Stich, Bernd Gärtner
2016	—	`—`	On low dimensional models for functions in high dimensions. Hemant Tyagi
2014	—	`conf`	Efficient Sampling for Learning Sparse Additive Models in High Dimensions. NIPS Hemant Tyagi, Bernd Gärtner, Andreas Krause
2013	B	`conf`	Continuum Armed Bandit Problem of Few Variables in High Dimensions. WAOA Hemant Tyagi, Bernd Gärtner
2013	J	`jnl`	Continuum armed bandit problem of few variables in high dimensions CoRR Hemant Tyagi, Bernd Gärtner
2013	J	`jnl`	Stochastic continuum armed bandit problem of few linear parameters in high dimensions. CoRR Hemant Tyagi, Sebastian U. Stich, Bernd Gärtner
2012	—	`conf`	Active Learning of Multi-Index Function Models. NIPS Hemant Tyagi, Volkan Cevher
2012	Misc	`conf`	Learning ridge functions with randomized sampling in high dimensions. ICASSP Hemant Tyagi, Volkan Cevher
2006	—	`conf`	Automatic identification of bird calls using Spectral Ensemble Average Voice Prints. EUSIPCO Hemant Tyagi, Rajesh M. Hegde, Hema A. Murthy, Anil Prabhakar