Subhro Ghosh

Education

• Doctor of Philosophy (PhD) University of California, Berkeley (2007 — 2013)
• M. Math. Indian Statistical Institute (2005 — 2007)
• B. Stat. Indian Statistical Institute (2002 — 2005)
• South Point High School

Companies

• Assistant Professor National University of Singapore (2017)
• Post Doctoral Researcher Princeton University (2013 — 2017)

Skills

• C++
• C
• Algorithms

Other

Mathematical Modeling, Time Series Analysis, Data Mining, LaTeX, Data Analysis, Machine Learning, Statistical Modeling, Research, R, Matlab, Statistics

Publication

• Signal Analysis via the Stochastic Geometry of Spectrogram Level Sets , with M. Lin, D. Sun IEEE Transactions on Signal Processing, to appear
• Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos, with K. Balasubramanian, X. Yang, IEEE Transactions on Information Theory, to appear International Conference on Machine Learning (ICML), pp. 3545-3555. PMLR, 2020
• Rigidity hierarchy in random point fields: random polynomials and determinantal processes, with M. Krishnapur, Communications in Mathematical Physics, to appear
• Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD, with R. Bardenet, M. Lin Spotlight paper (< 3% of submissions) at NeurIPS 2021 at Advances in Neural Information Processing Systems 34 (2021).
• Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors, with Z. Liu, J. Scarlett, Neural Information Processing Systems (NeurIPS 2021), to appear
• Fluctuation and Entropy in Spectrally Constrained random fields, with K. Adhikari, J.L. Lebowitz, Communications in Math. Physics, 386, 749–780 (2021).
• Quantitative Marcinkiewicz's theorem and central limit theorems: applications to spin systems and point processes, with T.C. Dinh, H.S. Tran, M.H. Tran
• Multi-Reference Alignment for sparse signals, Uniform Uncertainty Principles and the Beltway Problem, with P. Rigollet
• Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors, with Z. Liu, J. Scarlett IEEE Information Theory Workshop 2021
• On a Variational Approximation based Empirical Likelihood ABC Method, with S. Chaudhuri, D.J. Nott, K.C. Pham
• Disordered complex networks: energy optimal lattices and persistent homology, with N. Miyoshi, T. Shirai,
• Learning from DPPs via Sampling: Beyond HKPV and symmetry, with R. Bardenet
• Transmission and Navigation on Disordered Lattice Networks, Directed Spanning Forests and Brownian Web, with K. Saha, Journal of Statistical Physics 180, no. 1 (2020): 1167-1205 Special issue in honour of J.L. Lebowitz
• Gaussian determinantal processes: A new model for directionality in data, with P. Rigollet, Proceedings of the National Academy of Sciences,vol. 117, no. 24 (2020), pp. 13207--13213
• Maximum Likelihood under constraints: Degeneracies and Random Critical Points, with S. Chaudhuri,
• Gaussian complex zeros on the hole event: the emergence of a forbidden region, with A. Nishry, Communications in Pure Appl. Math., 72, no. 1 (2019): 3-62
• Generalized stealthy hyperuniform processes: maximal rigidity and the bounded holes conjecture, with J.L. Lebowitz, Communications in Math. Physics, 363, no. 1 (2018): 97-110
• Point processes, hole events, and large deviations: random complex zeros and Coulomb gases, with A. Nishry, Constructive Approximation, 48, no. 1 (2018): 101-136. Special Issue: Approximation and Statistical Physics – Part I
• Fluctuations, large deviations and rigidity in hyperuniform systems: a brief survey, with J.L. Lebowitz Indian Journal of Pure and Applied Mathematics vol. 48 no. 4 (2017), 609-631 Special issue in honour of B.V. Rao
• Rigidity and Tolerance in point processes: Gaussian zeroes and Ginibre eigenvalues, with Y. Peres, Duke Mathematical Journal, 1166, no. 10, 1789-1858 (2017)
• Number rigidity in superhomogeneous random point fields, with J. L. Lebowitz,
• Journal of Statistical Physics 166 (3-4), 1016-1027 (2017) Special issue in honour of Y. Sinai
• Multivariate CLT follows from strong Rayleigh property, with T. Liggett,R. Pemantle,
• Proceedings of ANALCO, SIAM, 2017
• Continuum Percolation for Gaussian zeroes and Ginibre eigenvalues, with M. Krishnapur, Y. Peres, Annals of Probability, 44 (5), 3357-3384 (2016)
• Palm measures and rigidity phenomena in point processes, Electronic Communications in Probability 21 (2016)
• Large deviations for zeros of random polynomials with i.i.d. exponential coefficients, with O. Zeitouni, Int. Math. Res. Not., (5), 1308-1347 (2016)
• Determinantal processes and completeness of random exponentials: the critical case, Probability Theory and Related Fields, 163 (3-4), 643-665 (2015)
• Rigidity and Tolerance in Gaussian zeroes and Ginibre eigenvalues: quantitative estimates,
• Exact quantum algorithm to distinguish Boolean functions of different weights, with S.L. Braunstein, B.S. Choi, S. Maitra, Journal of Physics A: Mathematical and Theoretical, Volume 40, Number 29 (2007) journal
• Symmetry of Bound and Antibound States in the Semiclassical Limit for a General Class of Potentials, with S. Dyatlov, Proc. Amer. Math. Soc. 138 (2010), 3203-3210
• Rigidity Phenomena in random point sets PhD Thesis, UC Berkeley (2013)