no code implementations • 23 May 2023 • Manuel Kunz, Stefan Birr, Mones Raslan, Lei Ma, Zhen Li, Adele Gouttes, Mateusz Koren, Tofigh Naghibi, Johannes Stephan, Mariia Bulycheva, Matthias Grzeschik, Armin Kekić, Michael Narodovitch, Kashif Rasul, Julian Sieber, Tim Januschowski
These include the volume of data, the irregularity, the high amount of turn-over in the catalog and the fixed inventory assumption.
1 code implementation • 8 Jul 2021 • Adèle Gouttes, Kashif Rasul, Mateusz Koren, Johannes Stephan, Tofigh Naghibi
Here, we propose a general method for probabilistic time series forecasting.
no code implementations • 15 Jun 2016 • Naoya Takahashi, Tofigh Naghibi, Beat Pfister
Phonemic or phonetic sub-word units are the most commonly used atomic elements to represent speech signals in modern ASRs.
no code implementations • NeurIPS 2014 • Tofigh Naghibi, Beat Pfister
By exploiting the duality between boosting and online learning, we present a boosting framework which proves to be extremely powerful thanks to employing the vast knowledge available in the online learning area.
no code implementations • 25 Sep 2014 • Tofigh Naghibi, Sarah Hoffmann, Beat Pfister
In the feature subset selection problem there are two main issues that need to be addressed: (i) Finding an appropriate measure function than can be fairly fast and robustly computed for high-dimensional data.