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AISTATS 2022 Test of Time Award

This year, AISTATS features a Test of Time Award to recognize a paper from 10 years ago that has had a prominent impact in the field. The AISTATS 2022 Test of Time Award goes to J. Zico Kolter (Carnegie Mellon University) and Tommi S. Jaakkola (MIT) for their paper Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation. Congratulations!

AISTATS 2022 Best Paper Award

Congratulations to Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas and Francois-Xavier Briol for their paper Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap.

Honorable Mentions

• A general class of surrogate functions for stable and efficient reinforcement learning, Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Müller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro and Nicolas Le Roux.
• Survival regression with proper scoring rules and monotonic neural networks, David Rindt, Robert Hu, David Steinsaltz and Dino Sejdinovic.
• Towards an Understanding of Default Policies in Multitask Policy Optimization, Ted Moskovitz, Michael Arbel, Jack Parker-Holder and Aldo Pacchiano.

Congratulations to all the authors!

Award Committee

The committee in charge of providing the awards was formed by:

• Miguel-Ángel Fernández-Torres, Universitat de València
• Gherardo Varando, Universitat de València
• Isabel Valera, Saarland University
• Francisco J. R. Ruiz, DeepMind
• Gustau Camps-Valls, Universitat de València