Subhabrata Majumdar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

High Dimensions

Spatial Autocorrelation

Joint Estimation

Top Venues

IEEE Trans. Inf. Theory

Proc. ACM Manag. Data

Publications

Domenic Rosati, Jan Wehner, Kai Williams, Lukasz Bartoszcze, David Atanasov, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Hassan Sajjad, Frank Rudzicz
Representation noising effectively prevents harmful fine-tuning on LLMs. CoRR (2024)
Harsh Raj, Vipul Gupta, Domenic Rosati, Subhabrata Majumdar
Semantic Consistency for Assuring Reliability of Large Language Models. CoRR (2023)
Raif M. Rustamov, Subhabrata Majumdar
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs. ICML (2023)
Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava
Local dampening: differential privacy for non-numeric queries via local sensitivity. VLDB J. 32 (6) (2023)
Felipe T. Brito, Victor A. E. de Farias, Cheryl Flynn, Subhabrata Majumdar, Javam C. Machado, Divesh Srivastava
Global and Local Differentially Private Release of Count-Weighted Graphs. Proc. ACM Manag. Data 1 (2) (2023)
Subhabrata Majumdar, George Michailidis
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models. J. Mach. Learn. Res. 23 (2022)
Subhabrata Majumdar, Snigdhansu Chatterjee
On weighted multivariate sign functions. J. Multivar. Anal. 191 (2022)
Subhabrata Majumdar, Snigdhansu Chatterjee
Feature selection using e-values. ICML (2022)
Cheryl Flynn, Aritra Guha, Subhabrata Majumdar, Divesh Srivastava, Zhengyi Zhou
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes. CoRR (2022)
Subhabrata Majumdar, Snigdhansu Chatterjee
Feature Selection using e-values. CoRR (2022)
Harsh Raj, Domenic Rosati, Subhabrata Majumdar
Measuring Reliability of Large Language Models through Semantic Consistency. CoRR (2022)
Subhabrata Majumdar, Ganesh Subramaniam
Network Security Modelling with Distributional Data. CoRR (2022)
Subhabrata Majumdar, Ganesh Subramaniam
Network Security Modelling with Distributional Data. CAMLIS (2022)
Subhabrata Majumdar, Cheryl Flynn, Ritwik Mitra
Detecting Bias in the Presence of Spatial Autocorrelation. AFCR (2021)
Cheryl Flynn, Subhabrata Majumdar, Ritwik Mitra
Evaluating Fairness in the Presence of Spatial Autocorrelation. CoRR (2021)
Noemi Derzsy, Subhabrata Majumdar, Rajat Malik
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research. CoRR (2021)
Subhabrata Majumdar, Deirdre Paul, Eric Zavesky
Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation. CoRR (2021)
Subhabrata Majumdar, Snigdhansu Chatterjee
Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions. CoRR (2021)
Christina Last, Prithviraj Pramanik, Nikita Saini, Akash Smaran Majety, Do-Hyung Kim, Manuel García-Herranz, Subhabrata Majumdar
Towards an Open Global Air Quality Monitoring Platform to Assess Children's Exposure to Air Pollutants in the Light of COVID-19 Lockdowns. CoRR (2021)
Christina Last, Prithviraj Pramanik, Nikita Saini, Akash Smaran Majety, Do-Hyung Kim, Manuel García-Herranz, Subhabrata Majumdar
Towards an Open Global Air Quality Monitoring Platform to Assess Children's Exposure to Air Pollutants in the Light of COVID-19 Lockdowns. CHI Extended Abstracts (2021)
Emily Dodwell, Cheryl Flynn, Balachander Krishnamurthy, Subhabrata Majumdar, Ritwik Mitra
System to Integrate Fairness Transparently: An Industry Approach. CoRR (2020)
Victor A. E. de Farias, Felipe T. Brito, Cheryl Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. Proc. VLDB Endow. 14 (4) (2020)
Victor A. E. de Farias, Felipe T. Brito, Cheryl Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. CoRR (2020)
Abhik Ghosh, Subhabrata Majumdar
Ultrahigh-Dimensional Robust and Efficient Sparse Regression Using Non-Concave Penalized Density Power Divergence. IEEE Trans. Inf. Theory 66 (12) (2020)
Eric Potash, Joe Brew, Alexander Loewi, Subhabrata Majumdar, Andrew Reece, Joe Walsh, Eric Rozier, Emile Jorgenson, Raed Mansour, Rayid Ghani
Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning. KDD (2015)
Ujjal Kumar Mukherjee, Subhabrata Majumdar, Snigdhansu Chatterjee
Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data. ICDM (2015)