← Authors

Olgica Milenkovic

20 papers · 2016–2024 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (31) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (8) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ’Ž Century Club (20) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (71) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (9)

Conferences

NIPS (8) ICLR (5) ICML (3) AISTATS (2) JMLR (2)

Top co-authors

Pan Li (9) Eli Chien (6) Chao Pan (6) Jianhao Peng (3) Hsiang-Fu Yu (2) Jin Sima (2) Niao He (2) Wei-Cheng Chang (2) I Chien (2) Jiong Zhang (2)

Research topics

Differential Privacy (1)

Keywords

convex optimization (3) submodular function minimization (3) combinatorial optimization (2) spectral clustering (2) submodular optimization (2) semi-supervised learning (2) graph partitioning (2) community detection (2) stochastic block model (2) hypergraph clustering (2) coordinate descent (2) online learning (2) matrix factorization (1) representation learning (1) domain adaptation (1) transfer learning (1) active learning (1) graph laplacian (1) knowledge distillation (1) differential privacy (1)

Papers

FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NIPS 2024
Online Distribution Learning with Local Privacy Constraints AISTATS 2024
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation ICML 2023
Efficient Model Updates for Approximate Unlearning of Graph-Structured Data ICLR 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection NIPS 2023
Machine Unlearning of Federated Clusters ICLR 2023
Higher-Order Spectral Clustering Under Superimposed Stochastic Block Models JMLR 2023
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction ICLR 2022
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks ICLR 2022
Adaptive Universal Generalized PageRank Graph Neural Network ICLR 2021
Quadratic Decomposable Submodular Function Minimization: Theory and Practice JMLR 2020
Online Convex Matrix Factorization with Representative Regions NIPS 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection NIPS 2019
Quadratic Decomposable Submodular Function Minimization NIPS 2018
Revisiting Decomposable Submodular Function Minimization with Incidence Relations NIPS 2018
Query K-means Clustering and the Double Dixie Cup Problem NIPS 2018
Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering ICML 2018
Inhomogeneous Hypergraph Clustering with Applications NIPS 2017
Efficient Rank Aggregation via Lehmer Codes AISTATS 2017
Correlation Clustering and Biclustering with Locally Bounded Errors ICML 2016