Eleonora Kreacic

21 papers A* 2A 2Misc 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Decentralized Convergence to Equilibrium Prices in Trading Networks.
AAAI
Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic, Sujay Bhatt, Alec Koppel, Sumitra Ganesh, Paul W. Goldberg
2025 A conf
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls.
UAI
Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2025 J jnl
Privacy-Aware Time Series Synthesis via Public Knowledge Distillation.
CoRR
Penghang Liu, Haibei Zhu, Eleonora Kreacic, Svitlana Vyetrenko
2025 J jnl
Privacy-Aware Time Series Synthesis via Public Knowledge Distillation.
Trans. Mach. Learn. Res.
Penghang Liu, Haibei Zhu, Eleonora Kreacic, Svitlana Vyetrenko
2025 A* conf
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning.
ICML
Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien
2024 J jnl
Decentralized Convergence to Equilibrium Prices in Trading Networks.
CoRR
Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic, Sujay Bhatt, Alec Koppel, Sumitra Ganesh, Paul W. Goldberg
2024 J jnl
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls.
CoRR
Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2024 J jnl
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
Trans. Mach. Learn. Res.
Mufei Li, Eleonora Kreacic, Vamsi K. Potluru, Pan Li
2024 J jnl
Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing.
CoRR
Shuaiqi Wang, Rongzhe Wei, Mohsen Ghassemi, Eleonora Kreacic, Vamsi K. Potluru
2024 Misc conf
Learning Payment-Free Resource Allocation Mechanisms.
WSC
Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh
2024 J jnl
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.
Trans. Mach. Learn. Res.
Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
2024 J jnl
Synthetic Data Applications in Finance.
CoRR
Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch
2024 J jnl
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning.
CoRR
Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien
2023 J jnl
Differentially Private Synthetic Data Using KD-Trees.
CoRR
Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023 A conf
Differentially private synthetic data using KD-trees.
UAI
Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
2023 J jnl
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
CoRR
Mufei Li, Eleonora Kreacic, Vamsi K. Potluru, Pan Li
2023 J jnl
Near-Optimal Fair Resource Allocation for Strategic Agents without Money: A Data-Driven Approach.
CoRR
Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh
2023 J jnl
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.
CoRR
Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
2023 — conf
Sequential Fair Resource Allocation under a Markov Decision Process Framework.
ICAIF
Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh
2023 J jnl
Sequential Fair Resource Allocation under a Markov Decision Process Framework.
CoRR
Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh
2022 J jnl
Differentially Private Learning of Hawkes Processes.
CoRR
Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso