NIPS 2017

I am very glad to be able to announce that out of the 3240 submissions that were made, our paper Inverse Filtering for Hidden Markov Models is one of the 678 that were accepted for presentation at the 31st Annual Conference on Neural Information Processing Systems (NIPS). This year, the conference is held December 4-9 in the Long Beach Convention Center, Long Beach, USA.

The paper is joint work between me, Cristian Rojas, Vikram Krishnamurthy and Bo Wahlberg. The paper introduces and provides initial solutions to a new class of inference problems. Potential areas of applications include, e.g., machine learning, signal processing, fault detection, microeconomics and finance.