Precision-Recall versus Accuracy and the Role of Large Data Sets
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
A Reduction Principle for Generalizing Bona Fide Risk Bounds in Multi-class Setting
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
Extreme Classification in Healthcare
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
Extreme Multi-label Learning via Nearest Neighbor Graph Partitioning and Embedding
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
Active Positive Semidefinite Matrix Completion With Applications to Large Scale Bandit Problems
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
Generalization Error Bounds for Extreme Multi-class Classification
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
A Parallel Primal-Dual Sparse Method for Extreme Classification
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
Tight Learning Bounds for Multi-Class Classification
Extreme classification is a rapidly growing research area focusing on multi-class and multi-label problems involving an extremely large number of labels. Many applications have been found in diverse areas ranging from language modeling to document…
A Panorama of the Skies
A Panorama of the Skies is a prototype of an immersive audiovisual installation created in collaboration between Maja Petrić, an artist, and Hrvoje Benko, a human-computer interaction researcher at Microsoft Research. Together they have been…
The skies epitomized
The Skies Epitomized is a series of artworks exploring the essence of the sky from the perspective of humans gazing at it. The works were created in collaboration between Maja Petrić, an artist, and Nebojša…