… : sample splitting, simultaneous inference, and conditional selective inference. We explain
… Our current understanding of the scope of the problems caused by selection on subsequent …

… of tasks including unisensory and multisensory perceptual tasks, … causal inference as a
parsimonious and unifying theory in cognitive neuroscience and examine its evolution, successes…

… However, these models have not had much success in explaining visual inference beyond its
… The internal mechanisms of visual inference are faced with qualitatively similar challenges: …

… extent it is possible to draw causal inferences from repetitive TMS (rTMS) data. To that end,
we describe the logical limitations of inferences based on rTMS experiments. The presented …

… the critical challenges and future directions for applying RL to power system problems in depth.
… success in many complex tasks, the actor-critic methods are known to suffer from various …

… simultaneous population recordings to infer interactions between brain areas is a substantial
analytical challenge… Given our point of view that the success of a particular measure of …

… In view of the latest research efforts in the causal inference field, in this chapter, we provide
a comprehensive discussion of challenges and opportunities for the three core components …

… by a set of simultaneous structural equations. Another … present the background knowledge
of causal inference, including task description, mathematical notions, assumptions, challenges…

… and exploitation, simultaneously achieving robust performance on several challenging RL
… environment, where there are no rewards and success is measured by the percent of the …

… Since the 1990s, studies of tsunami deposits in this region have contributed to our current
understanding of the history of tsunamis over the last 6000 years. Following the 2011 Tōhoku …