Since its inception in 1985, AISTATS has been an interdisciplinary gathering of researchers at the intersection of artificial intelligence, machine learning, statistics and related areas.
For this 25th edition, which was held online this year again, from the 28th to the 30th of March, the academic team of the DSAIDIS chair presented two papers:
- A. Barakat, P. Bianchi, J. Lehmann, “Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation“, Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, Valencia, Spain. PMLR: Volume 151.
- M. Goibert, S. Clemencon, E. Irurozki, P. Mozharovskyi, “Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications“, Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, Valencia, Spain. PMLR: Volume 151.
- J. Chen, R. Yuan, G. Garrigos, R.M. Gower, SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, Valencia, Spain. PMLR: Volume 151:279-318.
- R. Yuan, R.M. Gower, A. Lazaric, A general sample complexity analysis of vanilla policy gradient, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, Valencia, Spain. PMLR: Volume 151.
More info on the AISTATS conference
