1 citations · 1 across the 3 of their papers we have counts for
3 papers
A Continuous-time Tractable Model for Present-biased Agents
Yasunori Akagi, Hideaki Kim, Takeshi Kurashima
Present bias, the tendency to overvalue immediate rewards while undervaluing future ones, is a well-known barrier to achieving long-term goals. As artificial intelligence and behav…
Joint Pricing and Matching for Resource Allocation Platforms via Min-cost Flow Problem
Yuya Hikima, Yasunori Akagi, Hideaki Kim
Stochastic matching is the stochastic version of the well-known matching problem, which consists in maximizing the rewards of a matching under a set of probability distributions as…
Meta-Learning for Neural Network-based Temporal Point Processes
Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata +4
Human activities generate various event sequences such as taxi trip records, bike-sharing pick-ups, crime occurrence, and infectious disease transmission. The point process is wide…