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…
Project Emma
Project Emma is a wearable device initially created to help a specific person suffering from Parkinson’s, Emma Lawton, to compensate for the intentional tremors in her hands. Project Emma is named after Emma, who was…
New Microsoft Research Podcast invites you to log on, tune in and geek out
Microsoft Research Podcast Subscribe and listen on iTunes, android or email I’ve spent the better part of the last decade investigating the impact of digital media and technology on culture from an academic perspective. I…
The Future of Voice
Perception doesn’t necessarily match reality when it comes to today’s voice user interfaces. In this talk, we chart a path from today’s command-and-control assistants towards a future of more adaptive, inclusive, humane VUI for all.…
Universal Fault-Tolerant Computing with Bacon-Shor Codes
We present a fault-tolerant universal gate set consisting of Hadamard and controlled-controlled-Z (CCZ) on Bacon-Shor subsystem codes. Transversal non-Clifford gates on these codes are intriguing in that higher levels of the Clifford hierarchy become accessible…
Project Catapult Academic Tutorial: OpenCL
We will be presenting a series of online tutorial sessions to introduce and provide examples of the work that is possible in the Catapult Academic environment.
Advanced Machine Learning: Tiny Machine Learning: How Do You Make Good Predictors with As Few Bits As Possible?
We’ll cover several new and advanced topics in Machine Learning which should be of general interest. It comes after the Basic Machine Learning day and the Explore/Exploit day which should ramp people up to understand…