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2020 – today
- 2024
[i14]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 abs/2405.14577 (2024)- [i13]Domenic Rosati, Giles Edkins, Harsh Raj, David Atanasov, Subhabrata Majumdar, Janarthanan Rajendran, Frank Rudzicz, Hassan Sajjad:
Defending against Reverse Preference Attacks is Difficult. CoRR abs/2409.12914 (2024) - 2023
- [j6]Felipe T. Brito
, Victor A. E. de Farias, Cheryl J. Flynn, Subhabrata Majumdar, Javam C. Machado, Divesh Srivastava:
Global and Local Differentially Private Release of Count-Weighted Graphs. Proc. ACM Manag. Data 1(2): 154:1-154:25 (2023) - [j5]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): 1191-1214 (2023) - [c7]Raif M. Rustamov, Subhabrata Majumdar:
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs. ICML 2023: 29388-29415 - [i12]Harsh Raj, Vipul Gupta, Domenic Rosati, Subhabrata Majumdar:
Semantic Consistency for Assuring Reliability of Large Language Models. CoRR abs/2308.09138 (2023) - 2022
- [j4]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: 1:1-1:53 (2022) - [j3]Subhabrata Majumdar, Snigdhansu Chatterjee:
On weighted multivariate sign functions. J. Multivar. Anal. 191: 105013 (2022) - [c6]Subhabrata Majumdar, Ganesh Subramaniam:
Network Security Modelling with Distributional Data. CAMLIS 2022: 52-64 - [c5]Subhabrata Majumdar, Snigdhansu Chatterjee:
Feature selection using e-values. ICML 2022: 14753-14773 - [i11]Subhabrata Majumdar, Snigdhansu Chatterjee:
Feature Selection using e-values. CoRR abs/2206.05391 (2022) - [i10]Cheryl J. Flynn, Aritra Guha, Subhabrata Majumdar, Divesh Srivastava, Zhengyi Zhou:
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes. CoRR abs/2211.04568 (2022) - [i9]Harsh Raj, Domenic Rosati, Subhabrata Majumdar:
Measuring Reliability of Large Language Models through Semantic Consistency. CoRR abs/2211.05853 (2022) - [i8]Subhabrata Majumdar, Ganesh Subramaniam:
Network Security Modelling with Distributional Data. CoRR abs/2211.13419 (2022) - 2021
- [c4]Subhabrata Majumdar, Cheryl J. Flynn, Ritwik Mitra:
Detecting Bias in the Presence of Spatial Autocorrelation. AFCR 2021: 6-18 - [c3]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: 434:1-434:7 - [i7]Cheryl J. Flynn, Subhabrata Majumdar, Ritwik Mitra:
Evaluating Fairness in the Presence of Spatial Autocorrelation. CoRR abs/2101.01703 (2021) - [i6]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 abs/2103.12505 (2021) - [i5]Noemi Derzsy, Subhabrata Majumdar, Rajat Malik:
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research. CoRR abs/2105.06591 (2021) - [i4]Subhabrata Majumdar, Snigdhansu Chatterjee:
Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions. CoRR abs/2107.01103 (2021) - [i3]Subhabrata Majumdar, Deirdre Paul, Eric Zavesky:
Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation. CoRR abs/2108.04187 (2021) - 2020
- [j2]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. Proc. VLDB Endow. 14(4): 521-533 (2020) - [j1]Abhik Ghosh, Subhabrata Majumdar:
Ultrahigh-Dimensional Robust and Efficient Sparse Regression Using Non-Concave Penalized Density Power Divergence. IEEE Trans. Inf. Theory 66(12): 7812-7827 (2020) - [i2]Emily Dodwell, Cheryl J. Flynn, Balachander Krishnamurthy, Subhabrata Majumdar, Ritwik Mitra:
System to Integrate Fairness Transparently: An Industry Approach. CoRR abs/2006.06082 (2020) - [i1]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. CoRR abs/2012.04117 (2020)
2010 – 2019
- 2015
- [c2]Ujjal Kumar Mukherjee, Subhabrata Majumdar, Snigdhansu Chatterjee:
Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data. ICDM 2015: 109-123 - [c1]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: 2039-2047
Coauthor Index
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last updated on 2024-10-18 20:31 CEST by the dblp team
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