Subhroshekhar Ghosh

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 19

Top Topics

Maximum Likelihood

Monotonicity Property

Top Venues

IEEE Trans. Inf. Theory

Found. Comput. Math.

Publications

Subhroshekhar Ghosh, Sanjay Chaudhuri, Ujan Gangopadhyay
Maximum Likelihood Estimation Under Constraints: Singularities and Random Critical Points. IEEE Trans. Inf. Theory 69 (12) (2023)
Subhroshekhar Ghosh, Philippe Rigollet
Sparse Multi-Reference Alignment: Phase Retrieval, Uniform Uncertainty Principles and the Beltway Problem. Found. Comput. Math. 23 (5) (2023)
Subhroshekhar Ghosh, Aaron Y. R. Low, Yong Sheng Soh, Zhuohang Feng, Brendan K. Y. Tan
Dictionary Learning under Symmetries via Group Representations. CoRR (2023)
Subhroshekhar Ghosh, Soumendu Sundar Mukherjee
Learning with latent group sparsity via heat flow dynamics on networks. CoRR (2022)
Subhroshekhar Ghosh, Naoto Miyoshi, Tomoyuki Shirai
Disordered Complex Networks: Energy Optimal Lattices and Persistent Homology. IEEE Trans. Inf. Theory 68 (8) (2022)
Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett
Generative Principal Component Analysis. ICLR (2022)
Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun
Signal Analysis via the Stochastic Geometry of Spectrogram Level Sets. IEEE Trans. Signal Process. 70 (2022)
Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang
Fractal Gaussian Networks: A Sparse Random Graph Model Based on Gaussian Multiplicative Chaos. IEEE Trans. Inf. Theory 68 (5) (2022)
Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett
Generative Principal Component Analysis. CoRR (2022)
Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors. CoRR (2021)
Zhaoqiang Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors. CoRR (2021)
Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors. NeurIPS (2021)
Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun
Estimation and inference of signals via the stochastic geometry of spectrogram level sets. CoRR (2021)
Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors. ITW (2021)
Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD. NeurIPS (2021)
Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos. ICML (2020)
Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos. CoRR (2020)
Rémi Bardenet, Subhroshekhar Ghosh
Learning from DPPs via Sampling: Beyond HKPV and symmetry. CoRR (2020)
Subhroshekhar Ghosh, Thomas M. Liggett, Robin Pemantle
Multivariate CLT follows from strong Rayleigh property. ANALCO (2017)