Brugere, Ivan

8 publications

NeurIPS 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

TMLR 2025 Interpretable LLM-Based Table Question Answering Giang Nguyen, Ivan Brugere, Shubham Sharma, Sanjay Kariyappa, Anh Totti Nguyen, Freddy Lecue

NeurIPS 2025 The Unseen Threat: Residual Knowledge in Machine Unlearning Under Perturbed Samples Hsiang Hsu, Pradeep Niroula, Zichang He, Ivan Brugere, Freddy Lecue, Chun-Fu Chen

ICML 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

TMLR 2024 Hyper-Parameter Tuning for Fair Classification Without Sensitive Attribute Access Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

NeurIPS 2024 RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting Hsiang Hsu, Ivan Brugere, Shubham Sharma, Freddy Lecue, Chun-Fu Chen

NeurIPS 2023 Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions Leonidas Tsepenekas, Ivan Brugere, Freddy Lecue, Daniele Magazzeni

TMLR 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