Ivan Brugere

49 papers A* 4C 2Journal 33Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains.
EACL (Volume 1: Long Papers)
Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Charese Smiley, Ivan Brugere, Kundan Thind, Mohammad M. Ghassemi
2026 J jnl
How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains.
CoRR
Reza Khanmohammadi, Erfan Miahi, Simerjot Kaur, Ivan Brugere, Charese H. Smiley, Kundan Thind, Mohammad M. Ghassemi
2026 J jnl
The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples.
CoRR
Hsiang Hsu, Pradeep Niroula, Zichang He, Ivan Brugere, Freddy Lécué, Chun-Fu Chen
2025 J jnl
Balancing Fairness and Accuracy in Data-Restricted Binary Classification.
ACM Trans. Knowl. Discov. Data
Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Furong Huang, Min Wu
2025 — conf
BuDDIE: A Business Document Dataset for Multi-task Information Extraction.
COLING Workshops
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
2025 A* conf
Calibrating LLM Confidence by Probing Perturbed Representation Stability.
EMNLP
Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese Smiley, Kundan Thind, Mohammad M. Ghassemi
2025 J jnl
Calibrating LLM Confidence by Probing Perturbed Representation Stability.
CoRR
Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem, Simerjot Kaur, Ivan Brugere, Charese H. Smiley, Kundan Thind, Mohammad M. Ghassemi
2025 J jnl
Interpretable LLM-based Table Question Answering.
Trans. Mach. Learn. Res.
Giang Nguyen, Ivan Brugere, Shubham Sharma, Sanjay Kariyappa, Anh Totti Nguyen, Freddy Lécué
2025 J jnl
Investigating the Temporal Association of Biomedical Research on Small Business Funding: A Bibliometric and Data Analytic Approach.
IEEE Trans. Comput. Soc. Syst.
Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi
2025 J jnl
MAFE: Multi-Agent Fair Environments for Decision-Making Systems.
CoRR
Zachary McBride Lazri, Anirudh Nakra, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Furong Huang, Dana Dachman-Soled, Min Wu
2024 J jnl
A Canonical Data Transformation for Achieving Inter- and Within-Group Fairness.
IEEE Trans. Inf. Forensics Secur.
Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu
2024 J jnl
Balancing Fairness and Accuracy in Data-Restricted Binary Classification.
CoRR
Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Min Wu
2024 A* conf
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data.
ICML
Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled
2024 J jnl
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data.
CoRR
Yvonne Zhou, Mingyu Liang, Ivan Brugere, Dana Dachman-Soled, Danial Dervovic, Antigoni Polychroniadou, Min Wu
2024 J jnl
BuDDIE: A Business Document Dataset for Multi-task Information Extraction.
CoRR
Ran Zmigrod, Dongsheng Wang, Mathieu Sibue, Yulong Pei, Petr Babkin, Ivan Brugere, Xiaomo Liu, Nacho Navarro, Antony Papadimitriou, William Watson, Zhiqiang Ma, Armineh Nourbakhsh, Sameena Shah
2024 J jnl
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models.
CoRR
Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang
2024 J jnl
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access.
Trans. Mach. Learn. Res.
Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
2024 J jnl
Interpretable LLM-based Table Question Answering.
CoRR
Giang Nguyen, Ivan Brugere, Shubham Sharma, Sanjay Kariyappa, Anh Totti Nguyen, Freddy Lécué
2024 A* conf
RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting.
NeurIPS
Hsiang Hsu, Ivan Brugere, Shubham Sharma, Freddy Lécué, Richard Chen
2024 J jnl
The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments.
CoRR
Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi
2023 J jnl
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness.
CoRR
Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu
2023 A* conf
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions.
NeurIPS
Leonidas Tsepenekas, Ivan Brugere, Freddy Lécué, Daniele Magazzeni
2023 J jnl
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine.
J. Am. Medical Informatics Assoc.
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
2023 J jnl
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss.
Trans. Mach. Learn. Res.
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
2023 J jnl
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access.
CoRR
Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
2022 J jnl
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions.
CoRR
Leonidas Tsepenekas, Ivan Brugere
2022 J jnl
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale.
CoRR
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
2021 C conf
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning.
AIES
Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong
2021 J jnl
Parameterized Explanations for Investor / Company Matching.
CoRR
Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso
2020 J jnl
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning.
CoRR
Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong
2020 J jnl
Inferring Network Structure From Data.
CoRR
Ivan Brugere, Tanya Y. Berger-Wolf
2020 J jnl
Privacy Shadow: Measuring Node Predictability and Privacy Over Time.
CoRR
Ivan Brugere, Tanya Y. Berger-Wolf
2018 J jnl
Coordination Event Detection and Initiator Identification in Time Series Data.
ACM Trans. Knowl. Discov. Data
Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf
2018 — ch.
Modeling and Analysis of Spatiotemporal Social Networks.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Venkata M. V. Gunturi, Ivan Brugere, Shashi Shekhar
2018 — conf
Network Model Selection Using Task-Focused Minimum Description Length.
WWW (Companion Volume)
Ivan Brugere, Tanya Y. Berger-Wolf
2018 J jnl
Network Structure Inference, A Survey: Motivations, Methods, and Applications.
ACM Comput. Surv.
Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf
2017 J jnl
A General Framework For Task-Oriented Network Inference.
CoRR
Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf
2017 J jnl
Evaluating Social Networks Using Task-Focused Network Inference.
CoRR
Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf
2017 J jnl
Network Model Selection Using Task-Focused Minimum Description Length.
CoRR
Ivan Brugere, Tanya Y. Berger-Wolf
2017 — conf
Network Model Selection for Task-Focused Attributed Network Inference.
ICDM Workshops
Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf
2017 J jnl
Network Model Selection for Task-Focused Attributed Network Inference.
CoRR
Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf
2016 J jnl
FLICA: A Framework for Leader Identification in Coordinated Activity.
CoRR
Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf
2016 J jnl
Network Structure Inference, A Survey: Motivations, Methods, and Applications.
CoRR
Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf
2015 — conf
Latent Graph Inference and Validation.
ICDM Workshops
Ivan Brugere
2014 — ch.
Modeling and Analysis of Spatiotemporal Social Networks.
Encyclopedia of Social Network Analysis and Mining
Ivan Brugere, Venkata M. V. Gunturi, Shashi Shekhar
2012 — conf
Approximate Search on Massive Spatiotemporal Datasets.
ICDM Workshops
Ivan Brugere, Karsten Steinhaeuser, Shyam Boriah, Vipin Kumar
2011 — conf
A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests.
CIDU
Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael S. Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah
2011 C conf
Gopher: Global observation of Planetary Health and Ecosystem Resources.
IGARSS
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
2011 — conf
Incorporating Natural Variation into Time Series-Based Land Cover Change Detection.
CIDU
Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster