Ivan Brugere

According to our database, Ivan Brugere authored at least 40 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms.

Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Yue Guo, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled

CoRR, May, 2026

Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking.

Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Charese H. Smiley, Ivan Brugere, Kundan Thind, Mohammad M. Ghassemi

CoRR, May, 2026

The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples.

Hsiang Hsu, Pradeep Niroula, Zichang He, Ivan Brugere, Freddy Lécué, Chun-Fu Chen

CoRR, January, 2026

How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains.

Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Charese Smiley, Ivan Brugere, Kundan Thind, Mohammad M. Ghassemi

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Investigating the Temporal Association of Biomedical Research on Small Business Funding: A Bibliometric and Data Analytic Approach.

Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi

IEEE Trans. Comput. Soc. Syst., October, 2025

Balancing Fairness and Accuracy in Data-Restricted Binary Classification.

Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Furong Huang, Min Wu

ACM Trans. Knowl. Discov. Data, September, 2025

MAFE: Multi-Agent Fair Environments for Decision-Making Systems.

Zachary McBride Lazri, Anirudh Nakra, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Furong Huang, Dana Dachman-Soled, Min Wu

CoRR, February, 2025

Interpretable LLM-based Table Question Answering.

Giang Nguyen, Ivan Brugere, Shubham Sharma, Sanjay Kariyappa, Anh Totti Nguyen, Freddy Lécué

Trans. Mach. Learn. Res., 2025

Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models.

Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Calibrating LLM Confidence by Probing Perturbed Representation Stability.

Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese Smiley, Kundan Thind, Mohammad M. Ghassemi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

BuDDIE: A Business Document Dataset for Multi-task Information Extraction.

Dongsheng Wang, Ran Zmigrod, Mathieu Sibue, Yulong Pei, Petr Babkin, Ivan Brugere, Xiaomo Liu, Nacho Navarro, Antony Papadimitriou, William Watson, Zhiqiang Ma, Armineh Nourbakhsh, Sameena Shah

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access.

Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

Trans. Mach. Learn. Res., 2024

A Canonical Data Transformation for Achieving Inter- and Within-Group Fairness.

Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu

IEEE Trans. Inf. Forensics Secur., 2024

Balancing Fairness and Accuracy in Data-Restricted Binary Classification.

Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Min Wu

CoRR, 2024

The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments.

Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi

CoRR, 2024

RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting.

Hsiang Hsu, Ivan Brugere, Shubham Sharma, Freddy Lécué, Richard Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data.

Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine.

Timothy Bergquist, Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao, Guanhua Chen, Lukasz Charzewski, Zofia Nawalany, Ivan Brugere, Renata Retkute, Alidivinas Prusokas, Augustinas Prusokas, Yonghwa Choi, Sanghoon Lee, Junseok Choe, Inggeol Lee, Sunkyu Kim, Jaewoo Kang, Sean D. Mooney, Justin Guinney

J. Am. Medical Informatics Assoc., December, 2023

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss.

Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

Trans. Mach. Learn. Res., 2023

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions.

Leonidas Tsepenekas, Ivan Brugere, Freddy Lécué, Daniele Magazzeni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions.

Leonidas Tsepenekas, Ivan Brugere

CoRR, 2022

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale.

Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

CoRR, 2022

2021

Parameterized Explanations for Investor / Company Matching.

Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso

CoRR, 2021

GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning.

Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Privacy Shadow: Measuring Node Predictability and Privacy Over Time.

Ivan Brugere, Tanya Y. Berger-Wolf

CoRR, 2020

Inferring Network Structure From Data.

Ivan Brugere, Tanya Y. Berger-Wolf

CoRR, 2020

2018

Modeling and Analysis of Spatiotemporal Social Networks.

Venkata M. V. Gunturi, Ivan Brugere, Shashi Shekhar

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Coordination Event Detection and Initiator Identification in Time Series Data.

Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf

ACM Trans. Knowl. Discov. Data, 2018

Network Structure Inference, A Survey: Motivations, Methods, and Applications.

Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf

ACM Comput. Surv., 2018

Network Model Selection Using Task-Focused Minimum Description Length.

Ivan Brugere, Tanya Y. Berger-Wolf

Proceedings of the Companion Proceedings of the The Web Conference 2018, 2018

2017

Evaluating Social Networks Using Task-Focused Network Inference.

Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf

CoRR, 2017

A General Framework For Task-Oriented Network Inference.

Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf

CoRR, 2017

Network Model Selection for Task-Focused Attributed Network Inference.

Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

FLICA: A Framework for Leader Identification in Coordinated Activity.

Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf

CoRR, 2016

2015

Latent Graph Inference and Validation.

Ivan Brugere

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Modeling and Analysis of Spatiotemporal Social Networks.

Ivan Brugere, Venkata M. V. Gunturi, Shashi Shekhar

Encyclopedia of Social Network Analysis and Mining, 2014

2012

Approximate Search on Massive Spatiotemporal Datasets.

Ivan Brugere, Karsten Steinhaeuser, Shyam Boriah, Vipin Kumar

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Gopher: Global observation of Planetary Health and Ecosystem Resources.

Ashish Garg, Varun Mithal, Yashu Chamber, Ivan Brugere, Vijay Chaudhari, Marc Dunham, Vikrant Krishna, Sairam Krishnamurthy, Sruthi Vangala, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Albert Cho, J. D. Stanley, Teji Abraham, Juan Carlos Castilla-Rubio, Christopher Potter, Steven A. Klooster

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Incorporating Natural Variation into Time Series-Based Land Cover Change Detection.

Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests.

Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael S. Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011