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ORCIDIvan Brugere
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2020 – today
- 2024
[j6]Zachary McBride Lazri
, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu:
A Canonical Data Transformation for Achieving Inter- and Within-Group Fairness. IEEE Trans. Inf. Forensics Secur. 19: 7449-7464 (2024)- [j5]Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. Trans. Mach. Learn. Res. 2024 (2024) - [c10]Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled:
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data. ICML 2024 - [i19]Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi:
The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments. CoRR abs/2401.00942 (2024) - [i18]Yvonne Zhou, Mingyu Liang, Ivan Brugere, Dana Dachman-Soled, Danial Dervovic, Antigoni Polychroniadou, Min Wu:
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data. CoRR abs/2402.04375 (2024) - [i17]Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Min Wu:
Balancing Fairness and Accuracy in Data-Restricted Binary Classification. CoRR abs/2403.07724 (2024) - [i16]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:
BuDDIE: A Business Document Dataset for Multi-task Information Extraction. CoRR abs/2404.04003 (2024) - [i15]Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang:
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. CoRR abs/2406.01899 (2024) - 2023
- [j4]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:
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. J. Am. Medical Informatics Assoc. 31(1): 35-44 (2023) - [j3]Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss. Trans. Mach. Learn. Res. 2023 (2023) - [c9]Leonidas Tsepenekas, Ivan Brugere, Freddy Lécué, Daniele Magazzeni:
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions. NeurIPS 2023 - [i14]Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. CoRR abs/2302.01385 (2023) - [i13]Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu:
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness. CoRR abs/2310.15097 (2023) - 2022
- [i12]Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale. CoRR abs/2206.14853 (2022) - [i11]Leonidas Tsepenekas, Ivan Brugere:
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions. CoRR abs/2208.12731 (2022) - 2021
- [c8]Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. AIES 2021: 884-894 - [i10]Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Parameterized Explanations for Investor / Company Matching. CoRR abs/2111.01911 (2021) - 2020
- [i9]Ivan Brugere, Tanya Y. Berger-Wolf:
Inferring Network Structure From Data. CoRR abs/2004.02046 (2020) - [i8]Ivan Brugere, Tanya Y. Berger-Wolf:
Privacy Shadow: Measuring Node Predictability and Privacy Over Time. CoRR abs/2004.02047 (2020) - [i7]Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. CoRR abs/2012.03900 (2020)
2010 – 2019
- 2018
- [j2]Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf:
Network Structure Inference, A Survey: Motivations, Methods, and Applications. ACM Comput. Surv. 51(2): 24:1-24:39 (2018) - [j1]Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf:
Coordination Event Detection and Initiator Identification in Time Series Data. ACM Trans. Knowl. Discov. Data 12(5): 53:1-53:33 (2018) - [c7]Ivan Brugere, Tanya Y. Berger-Wolf:
Network Model Selection Using Task-Focused Minimum Description Length. WWW (Companion Volume) 2018: 961-968 - [r2]Venkata M. V. Gunturi, Ivan Brugere, Shashi Shekhar:
Modeling and Analysis of Spatiotemporal Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [c6]Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf:
Network Model Selection for Task-Focused Attributed Network Inference. ICDM Workshops 2017: 118-125 - [i6]Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf:
A General Framework For Task-Oriented Network Inference. CoRR abs/1705.00645 (2017) - [i5]Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf:
Evaluating Social Networks Using Task-Focused Network Inference. CoRR abs/1707.02385 (2017) - [i4]Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf:
Network Model Selection for Task-Focused Attributed Network Inference. CoRR abs/1708.06303 (2017) - [i3]Ivan Brugere, Tanya Y. Berger-Wolf:
Network Model Selection Using Task-Focused Minimum Description Length. CoRR abs/1710.05207 (2017) - 2016
- [i2]Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf:
FLICA: A Framework for Leader Identification in Coordinated Activity. CoRR abs/1603.01570 (2016) - [i1]Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf:
Network Structure Inference, A Survey: Motivations, Methods, and Applications. CoRR abs/1610.00782 (2016) - 2015
- [c5]Ivan Brugere:
Latent Graph Inference and Validation. ICDM Workshops 2015: 1494-1495 - 2014
- [r1]Ivan Brugere, Venkata M. V. Gunturi, Shashi Shekhar:
Modeling and Analysis of Spatiotemporal Social Networks. Encyclopedia of Social Network Analysis and Mining 2014: 950-960 - 2012
- [c4]Ivan Brugere, Karsten Steinhaeuser, Shyam Boriah, Vipin Kumar:
Approximate Search on Massive Spatiotemporal Datasets. ICDM Workshops 2012: 773-780 - 2011
- [c3]Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster:
Incorporating Natural Variation into Time Series-Based Land Cover Change Detection. CIDU 2011: 45-59 - [c2]Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael S. Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah:
A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests. CIDU 2011: 248-262 - [c1]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:
Gopher: Global observation of Planetary Health and Ecosystem Resources. IGARSS 2011: 1449-1452
Coauthor Index
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last updated on 2024-10-07 22:23 CEST by the dblp team
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