Soumendu Sundar Mukherjee

23 papers A* 3A 2Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Wasserstein projection pursuit of non-Gaussian signals. J. Multivar. Anal. Satyaki Mukherjee, Soumendu Sundar Mukherjee, Debarghya Ghoshdastidar
2025	A	`conf`	Changepoint Estimation in Sparse Dynamic Stochastic Block Models under Near-Optimal Signal Strength. AISTATS Shirshendu Chatterjee, Soumendu Sundar Mukherjee, Tamojit Sadhukhan
2025	J	`jnl`	Learning under Latent Group Sparsity via Diffusion on Networks. CoRR Subhroshekhar Ghosh, Soumendu Sundar Mukherjee
2025	A*	`conf`	Optimal Transfer Learning for Missing Not-at-Random Matrix Completion. ICML Akhil Jalan, Yassir Jedra, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
2025	J	`jnl`	Optimal Transfer Learning for Missing Not-at-Random Matrix Completion. CoRR Akhil Jalan, Yassir Jedra, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
2024	J	`jnl`	Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing. CoRR Hong T. M. Chu, Subhro Ghosh, Chi Thanh Lam, Soumendu Sundar Mukherjee
2024	J	`jnl`	LASER: A new method for locally adaptive nonparametric regression. CoRR Sabyasachi Chatterjee, Subhajit Goswami, Soumendu Sundar Mukherjee
2024	A*	`conf`	Transfer Learning for Latent Variable Network Models. NeurIPS Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
2024	J	`jnl`	Transfer Learning for Latent Variable Network Models. CoRR Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
2023	J	`jnl`	Consistent model selection in the spiked Wigner model via AIC-type criteria. CoRR Soumendu Sundar Mukherjee
2023	J	`jnl`	Learning Networks from Gaussian Graphical Models and Gaussian Free Fields. CoRR Subhro Ghosh, Soumendu Sundar Mukherjee, Hoang Son Tran, Ujan Gangopadhyay
2023	J	`jnl`	Minimax-optimal estimation for sparse multi-reference alignment with collision-free signals. CoRR Subhro Ghosh, Soumendu Sundar Mukherjee, Jing Bin Pan
2023	J	`jnl`	Wasserstein Projection Pursuit of Non-Gaussian Signals. CoRR Satyaki Mukherjee, Soumendu Sundar Mukherjee, Debarghya Ghoshdastidar
2022	J	`jnl`	Learning with latent group sparsity via heat flow dynamics on networks. CoRR Subhroshekhar Ghosh, Soumendu Sundar Mukherjee
2022	A	`conf`	Morphological Network: How Far Can We Go with Morphological Neurons? BMVC Ranjan Mondal, Sanchayan Santra, Soumendu Sundar Mukherjee, Bhabatosh Chanda
2021	J	`jnl`	Changepoint Analysis of Topic Proportions in Temporal Text Data. CoRR Avinandan Bose, Soumendu Sundar Mukherjee
2021	J	`jnl`	When random initializations help: a study of variational inference for community detection. J. Mach. Learn. Res. Purnamrita Sarkar, Y. X. Rachel Wang, Soumendu Sundar Mukherjee
2020	J	`jnl`	Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences. CoRR Sharmodeep Bhattacharyya, Shirshendu Chatterjee, Soumendu Sundar Mukherjee
2019	J	`jnl`	Graphon Estimation from Partially Observed Network Data. CoRR Soumendu Sundar Mukherjee, Sayak Chakrabarti
2018	A*	`conf`	Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues. NeurIPS Soumendu Sundar Mukherjee, Purnamrita Sarkar, Y. X. Rachel Wang, Bowei Yan
2018	—	`—`	On Some Inference Problems for Networks. Soumendu Sundar Mukherjee
2017	—	`conf`	On clustering network-valued data. NIPS Soumendu Sundar Mukherjee, Purnamrita Sarkar, Lizhen Lin
2015	J	`jnl`	Minimum Distance Estimation of Milky Way Model Parameters and Related Inference. SIAM/ASA J. Uncertain. Quantification Sourabh Banerjee, Ayanendranath Basu, Sourabh Bhattacharya, Smarajit Bose, Dalia Chakrabarty, Soumendu Sundar Mukherjee