Artificial intelligence has enjoyed immense practical success in recent years, largely due to advances in machine learning, especially deep learning via optimization. Rich mathematical theory explaining the many empirical results can help drive further advances, informed by feedback from those advances.
The latest results connect with celebrated techniques in learning theory, optimization, signal processing, and statistics. The interplay between rigorous theory and engineering advances pushes forward the frontiers of AI.
May 08, 2019
May 08, 2019
June 09, 2019
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, Yoshua Bengio
June 09, 2019
March 12, 2018
Leon Bottou, Martin Arjovsky, David Lopez-Paz, Maxime Oquab
March 12, 2018
April 30, 2018
Hongyi Zhang, Moustapha Cisse, Yann Dauphin, David Lopez-Paz
April 30, 2018
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Foundational models