Subhroshekhar Ghosh

According to our database, Subhroshekhar Ghosh authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Maximum Likelihood Estimation Under Constraints: Singularities and Random Critical Points.

Subhroshekhar Ghosh, Sanjay Chaudhuri, Ujan Gangopadhyay

IEEE Trans. Inf. Theory, December, 2023

Sparse Multi-Reference Alignment: Phase Retrieval, Uniform Uncertainty Principles and the Beltway Problem.

Subhroshekhar Ghosh, Philippe Rigollet

Found. Comput. Math., October, 2023

Dictionary Learning under Symmetries via Group Representations.

Subhroshekhar Ghosh, Aaron Y. R. Low, Yong Sheng Soh, Zhuohang Feng, Brendan K. Y. Tan

CoRR, 2023

2022

Signal Analysis via the Stochastic Geometry of Spectrogram Level Sets.

Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun

IEEE Trans. Signal Process., 2022

Disordered Complex Networks: Energy Optimal Lattices and Persistent Homology.

Subhroshekhar Ghosh, Naoto Miyoshi, Tomoyuki Shirai

IEEE Trans. Inf. Theory, 2022

Fractal Gaussian Networks: A Sparse Random Graph Model Based on Gaussian Multiplicative Chaos.

Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang

IEEE Trans. Inf. Theory, 2022

Learning with latent group sparsity via heat flow dynamics on networks.

Subhroshekhar Ghosh, Soumendu Sundar Mukherjee

CoRR, 2022

Generative Principal Component Analysis.

Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors.

Zhaoqiang Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett

CoRR, 2021

Estimation and inference of signals via the stochastic geometry of spectrogram level sets.

Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun

CoRR, 2021

Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors.

Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD.

Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors.

Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett

Proceedings of the IEEE Information Theory Workshop, 2021

2020

Learning from DPPs via Sampling: Beyond HKPV and symmetry.

Rémi Bardenet, Subhroshekhar Ghosh

CoRR, 2020

2017

Multivariate CLT follows from strong Rayleigh property.

Subhroshekhar Ghosh, Thomas M. Liggett, Robin Pemantle

Proceedings of the Fourteenth Workshop on Analytic Algorithmics and Combinatorics, 2017