Showing 21–40 of 53 results
/ Date/ Name
Oct 19, 2020Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard ThresholdingOct 2, 2018A Unified Framework for Clustering Constrained Data without Locality PropertyJan 18, 2019Differentially Private High Dimensional Sparse Covariance Matrix EstimationJan 10, 2022Differentially Private $\ell_1$-norm Linear Regression with Heavy-tailed DataOct 25, 2022Lafite2: Few-shot Text-to-Image GenerationJul 28, 2022Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental LearningFeb 5, 2022Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric ApproachSep 25, 2013On the Connectivity Preserving Minimum Cut ProblemApr 12, 2013Algorithms for Cut Problems on TreesDec 10, 2014On DDoS Attack Related Minimum Cut ProblemsFeb 12, 2018Empirical Risk Minimization in Non-interactive Local Differential Privacy: Efficiency and High Dimensional CaseFeb 14, 2018Differentially Private Empirical Risk Minimization Revisited: Faster and More GeneralDec 10, 2024TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi DiagramDec 5, 2024Dynamical Persistent Homology via Wasserstein Gradient FlowNov 22, 2024Multiset Transformer: Advancing Representation Learning in Persistence DiagramsApr 29, 2024On Clustering Induced Voronoi DiagramsMar 24, 2016Deep Extreme Feature Extraction: New MVA Method for Searching Particles in High Energy PhysicsMar 24, 2025Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax OptimizationOct 4, 2024Understanding Fine-tuning in Approximate Unlearning: A Theoretical PerspectiveNov 22, 2025Understanding Private Learning From Feature Perspective