2 citations · 4 across the 17 of their papers we have counts for
17 papers
Universally Optimal Robustness-Efficiency Tradeoffs for a General Class of Minimum Divergence Estimators
Subhrajyoty Roy, Supratik Basu, Abhik Ghosh +1
Balancing the efficiency of an estimator under ideal conditions against its robustness under contamination remains a central challenge in robust statistics. While minimum divergenc…
BOOOM: Loss-Function-Agnostic Black-Box Optimization over Orthonormal Manifolds for Machine Learning and Statistical Inference
Beomchang Kim, Subhrajyoty Roy, Priyam Das
Optimization over the Stiefel manifold , the set of column-orthonormal matrices, is fundamental in statistics, machine learning, and scientific compu…
Nonparametric regression of spatio-temporal data using infinite-dimensional covariates
Subhrajyoty Roy, Soudeep Deb, Sayar Karmakar +1
In spatio-temporal analysis, we often record data at specific time intervals but with varying spatial locations between these timepoints. We propose a conditional model to analyze…
Robust Rank Estimation for Noisy Matrices
Subhrajyoty Roy, Abhik Ghosh, Ayanendranath Basu
Estimating the true rank of a noisy data matrix is a fundamental problem underlying techniques such as principal component analysis, matrix completion, etc. Existing rank estimatio…
Asymptotic breakdown point analysis of the minimum density power divergence estimator under independent non-homogeneous setups
Suryasis Jana, Subhrajyoty Roy, Ayanendranath Basu +1
The minimum density power divergence estimator (MDPDE) has gained significant attention in the literature of robust inference due to its strong robustness properties and high asymp…
Fast segmentation of watermarked texts from large language models through an epidemic change-point framework
Soham Bonnerjee, Subhrajyoty Roy, Sayar Karmakar
With the growing use of large language models, concerns over content authenticity have spurred a variety of watermarking schemes. These schemes use secret keys to detect machine-ge…
Characterization of Generalized Alpha-Beta Divergence and Associated Entropy Measures
Subhrajyoty Roy, Supratik Basu, Abhik Ghosh +1
Minimum divergence estimators provide a natural framework for robust (parametric) statistical inference. Useful properties of several such divergence measures, including, the Helli…
Nonparametric quantile regression for spatio-temporal processes
Soudeep Deb, Claudia Neves, Subhrajyoty Roy
In this paper, we develop a new and effective approach to nonparametric quantile regression that accommodates ultrahigh-dimensional data arising from spatio-temporal processes. Thi…
Trustworthy Dimensionality Reduction
Subhrajyoty Roy
Different unsupervised models for dimensionality reduction like PCA, LLE, Shannon's mapping, tSNE, UMAP, etc. work on different principles, hence, they are difficult to compare on…
Robust Principal Component Analysis using Density Power Divergence
Subhrajyoty Roy, Ayanendranath Basu, Abhik Ghosh
Principal component analysis (PCA) is a widely employed statistical tool used primarily for dimensionality reduction. However, it is known to be adversely affected by the presence…
Analysis of the rSVDdpd Algorithm: A Robust Singular Value Decomposition Method using Density Power Divergence
Subhrajyoty Roy, Abhik Ghosh, Ayanendranath Basu
The traditional method of computing singular value decomposition (SVD) of a data matrix is based on a least squares principle, thus, is very sensitive to the presence of outliers.…
Asymptotic Breakdown Point Analysis for a General Class of Minimum Divergence Estimators
Subhrajyoty Roy, Abir Sarkar, Abhik Ghosh +1
Robust inference based on the minimization of statistical divergences has proved to be a useful alternative to classical techniques based on maximum likelihood and related methods.…
Robust and Efficient Estimation in Ordinal Response Models using the Density Power Divergence
Arijit Pyne, Subhrajyoty Roy, Abhik Ghosh +1
In real life, we frequently come across data sets that involve some independent explanatory variable(s) generating a set of ordinal responses. These ordinal responses may correspon…
rSVDdpd: A Robust Scalable Video Surveillance Background Modelling Algorithm
Subhrajyoty Roy, Ayanendranath Basu, Abhik Ghosh
A basic algorithmic task in automated video surveillance is to separate background and foreground objects. Camera tampering, noisy videos, low frame rate, etc., pose difficulties i…
A Generalized Epidemiological Model for COVID-19 with Dynamic and Asymptomatic Population
Anirban Ghatak, Shivshanker Singh Patel, Soham Bonnerjee +1
In this paper, we develop an extension of standard epidemiological models, suitable for COVID-19. This extension incorporates the transmission due to pre-symptomatic or asymptomati…
Rough-Fuzzy CPD: A Gradual Change Point Detection Algorithm
Ritwik Bhaduri, Subhrajyoty Roy, Sankar K. Pal
Changepoint detection is the problem of finding abrupt or gradual changes in time series data when the distribution of the time series changes significantly. There are many sophist…
Onset detection: A new approach to QBH system
Ritwik Bhaduri, Soham Bonnerjee, Subhrajyoty Roy
Query by Humming (QBH) is a system to provide a user with the song(s) which the user hums to the system. Current QBH method requires the extraction of onset and pitch information i…