Dalirrooyfard, Mina

10 publications

ICML 2025 Breaking the $n^1.5$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrović, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu

NeurIPS 2025 Differentially Private Gomory-Hu Trees Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrović, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu

ICML 2025 Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann

ICML 2025 Sparse-Pivot: Dynamic Correlation Clustering for Node Insertions Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrović

AISTATS 2024 Graph Partitioning with a Move Budget Mina Dalirrooyfard, Elaheh Fata, Majid Behbahani, Yuriy Nevmyvaka

TMLR 2024 Learning to Abstain from Uninformative Data Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen

ICML 2024 Pruned Pivot: Correlation Clustering Algorithm for Dynamic, Parallel, and Local Computation Models Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrovic

UAI 2023 In- or Out-of-Distribution Detection via Dual Divergence Estimation Sahil Garg, Sanghamitra Dutta, Mina Dalirrooyfard, Anderson Schneider, Yuriy Nevmyvaka

UAI 2023 Information Theoretic Clustering via Divergence Maximization Among Clusters Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo Cecchi

NeurIPS 2023 Nearly Tight Bounds for Differentially Private Multiway Cut Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka