Subhroshekhar Ghosh

25 papers A* 5B 1Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning under Latent Group Sparsity via Diffusion on Networks. CoRR Subhroshekhar Ghosh, Soumendu Sundar Mukherjee
2025	J	`jnl`	Negative Dependence as a toolbox for machine learning : review and new developments. CoRR Hoang Son Tran, Vladimir Petrovic, Rémi Bardenet, Subhroshekhar Ghosh
2024	J	`jnl`	On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem. Stat. Anal. Data Min. Sanjay Chaudhuri, Subhroshekhar Ghosh, Kim Cuc Pham
2024	A*	`conf`	Small coresets via negative dependence: DPPs, linear statistics, and concentration. NeurIPS Rémi Bardenet, Subhroshekhar Ghosh, Hugo Simon-Onfroy, Hoang Son Tran
2024	J	`jnl`	Small coresets via negative dependence: DPPs, linear statistics, and concentration. CoRR Rémi Bardenet, Subhroshekhar Ghosh, Hugo Simon-Onfroy, Hoang Son Tran
2023	J	`jnl`	Dictionary Learning under Symmetries via Group Representations. CoRR Subhroshekhar Ghosh, Aaron Y. R. Low, Yong Sheng Soh, Zhuohang Feng, Brendan K. Y. Tan
2023	J	`jnl`	Maximum Likelihood Estimation Under Constraints: Singularities and Random Critical Points. IEEE Trans. Inf. Theory Subhroshekhar Ghosh, Sanjay Chaudhuri, Ujan Gangopadhyay
2023	J	`jnl`	Sparse Multi-Reference Alignment: Phase Retrieval, Uniform Uncertainty Principles and the Beltway Problem. Found. Comput. Math. Subhroshekhar Ghosh, Philippe Rigollet
2022	J	`jnl`	Disordered Complex Networks: Energy Optimal Lattices and Persistent Homology. IEEE Trans. Inf. Theory Subhroshekhar Ghosh, Naoto Miyoshi, Tomoyuki Shirai
2022	J	`jnl`	Fractal Gaussian Networks: A Sparse Random Graph Model Based on Gaussian Multiplicative Chaos. IEEE Trans. Inf. Theory Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang
2022	A*	`conf`	Generative Principal Component Analysis. ICLR Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett
2022	J	`jnl`	Generative Principal Component Analysis. CoRR Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett
2022	J	`jnl`	Learning with latent group sparsity via heat flow dynamics on networks. CoRR Subhroshekhar Ghosh, Soumendu Sundar Mukherjee
2022	J	`jnl`	Signal Analysis via the Stochastic Geometry of Spectrogram Level Sets. IEEE Trans. Signal Process. Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun
2021	A*	`conf`	Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD. NeurIPS Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin
2021	J	`jnl`	Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD. CoRR Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin
2021	J	`jnl`	Estimation and inference of signals via the stochastic geometry of spectrogram level sets. CoRR Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun
2021	B	`conf`	Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors. ITW Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett
2021	J	`jnl`	Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors. CoRR Zhaoqiang Liu, Subhroshekhar Ghosh, Jun Han, Jonathan Scarlett
2021	A*	`conf`	Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors. NeurIPS Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett
2021	J	`jnl`	Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors. CoRR Zhaoqiang Liu, Subhroshekhar Ghosh, Jonathan Scarlett
2020	A*	`conf`	Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos. ICML Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang
2020	J	`jnl`	Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos. CoRR Subhroshekhar Ghosh, Krishnakumar Balasubramanian, Xiaochuan Yang
2020	J	`jnl`	Learning from DPPs via Sampling: Beyond HKPV and symmetry. CoRR Rémi Bardenet, Subhroshekhar Ghosh
2017	—	`conf`	Multivariate CLT follows from strong Rayleigh property. ANALCO Subhroshekhar Ghosh, Thomas M. Liggett, Robin Pemantle