Africa
Nonparametric_Uncertainty_Quantification_for_Single_Deterministic_Neural_Network (1)
This paper proposes a fast and scalable method for uncertainty quantification of machine learning models' predictions.
#IJCAI2025 social media round-up: part one
The 34rd International Joint Conference on Artificial Intelligence (IJCAI-25) is currently taking place in Montréal, Canada. The first couple of days saw the attendees enjoy some of the many tutorials and workshops on offer, with the doctoral consortium also being held. The official opening ceremony took place this morning (Tuesday 19 August). Find out what the participants have been getting up to so far. Find out more about what the event has in store: @ijcai.org
Explainable Reinforcement Learning via Model Transforms Mira Finkelstein
Understanding emerging behaviors of reinforcement learning (RL) agents may be difficult since such agents are often trained in complex environments using highly complex decision making procedures.
THE FRANZ PARIS I CRITERION AND COMPUTATIONAL TRADE OFFS IN HIGH DIMENSIONAL STATISTICS
Many high-dimensional statistical inference problems are believed to possess inherent computational hardness.
