STOCHASTICRANK: GLOBAL OPTIMIZATION OF SCALE-FREE DISCRETE FUNCTIONS

von Ustimenko, Aleksei
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 13 of 15 (2021)

Overlapping Spaces for Compact Graph Representations

von Shevkunov, Kirill
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 14 of 36 (2022)

SGLB: STOCHASTIC GRADIENT LANGEVIN BOOSTING

von USTIMENKO, ALEKSEI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 13 of 16 (2022)

GRAPH-BASED NEAREST NEIGHBOR SEARCH: FROM PRACTICE TO THEORY

von Prokhorenkova, Liudmila
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 10 of 15 (2021)

SYSTEMATIC ANALYSIS OF CLUSTER SIMILARITY INDICES: HOW TO VALIDATE VALIDATION MEASURES

von GÖSGENS, MARTIJN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 5 of 16 (2022)

Good Classification Measures and How to Find Them

von Gösgens, Martijn
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 21 of 36 (2022)

A Statistical Test of Heterogeneous Subgraph Densities to Assess Clusterability

von Miasnikof, Pierre
Veröffentlicht in LION (13. : 2019 : Chania) Learning and intelligent optimization (2020)