Milenkovic, Olgica

24 publications

NeurIPS 2025 DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform Peizhi Niu, Yu-Hsiang Wang, Vishal Rana, Chetan Rupakheti, Abhishek Pandey, Olgica Milenkovic

NeurIPS 2025 Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li

NeurIPS 2024 FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning Evelyn Ma, Chao Pan, Rasoul Etesami, Han Zhao, Olgica Milenkovic

TMLR 2024 Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic

AISTATS 2024 Online Distribution Learning with Local Privacy Constraints Jin Sima, Changlong Wu, Olgica Milenkovic, Wojciech Szpankowski

NeurIPS 2023 Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Ozgur, Olgica Milenkovic

ICLR 2023 Efficient Model Updates for Approximate Unlearning of Graph-Structured Data Eli Chien, Chao Pan, Olgica Milenkovic

JMLR 2023 Higher-Order Spectral Clustering Under Superimposed Stochastic Block Models Subhadeep Paul, Olgica Milenkovic, Yuguo Chen

ICLR 2023 Machine Unlearning of Federated Clusters Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic

ICML 2023 PINA: Leveraging Side Information in eXtreme Multi-Label Classification via Predicted Instance Neighborhood Aggregation Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu

NeurIPSW 2022 Certified Graph Unlearning Eli Chien, Chao Pan, Olgica Milenkovic

ICLR 2022 Node Feature Extraction by Self-Supervised Multi-Scale Neighborhood Prediction Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S Dhillon

ICLR 2022 You Are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic

ICLR 2021 Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic

JMLR 2020 Quadratic Decomposable Submodular Function Minimization: Theory and Practice Pan Li, Niao He, Olgica Milenkovic

NeurIPS 2019 Online Convex Matrix Factorization with Representative Regions Jianhao Peng, Olgica Milenkovic, Abhishek Agarwal

NeurIPS 2019 Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection Pan Li, I Chien, Olgica Milenkovic

NeurIPS 2018 Quadratic Decomposable Submodular Function Minimization Pan Li, Niao He, Olgica Milenkovic

NeurIPS 2018 Query K-Means Clustering and the Double Dixie Cup Problem I Chien, Chao Pan, Olgica Milenkovic

NeurIPS 2018 Revisiting Decomposable Submodular Function Minimization with Incidence Relations Pan Li, Olgica Milenkovic

ICML 2018 Submodular Hypergraphs: P-Laplacians, Cheeger Inequalities and Spectral Clustering Pan Li, Olgica Milenkovic

AISTATS 2017 Efficient Rank Aggregation via Lehmer Codes Pan Li, Arya Mazumdar, Olgica Milenkovic

NeurIPS 2017 Inhomogeneous Hypergraph Clustering with Applications Pan Li, Olgica Milenkovic

ICML 2016 Correlation Clustering and Biclustering with Locally Bounded Errors Gregory Puleo, Olgica Milenkovic