Purpose – The purpose of this paper is to assess how regret affects consumer satisfaction levels, extent of rumination, and brand-switching intention. The paper also seeks to examine any mediating effects between regret and rumination that can be found due to consumers’ negative emotions. Design/methodology/approach – A purchase-decision scenario was presented to 125 undergraduate students. A b...

This paper explores a fundamental connection between computational learning theory and game theory through a property we call no-Φ-regret. Given a set of transformations Φ (i.e., mappings from actions to actions), a learning algorithm is said to exhibit no Φ-regret if an agent experiences no regret for playing the actions the algorithm prescribes, rather than playing the transformed actions pre...

The k-regret queries aim to return a size-k subset of the entire database such that, for any query user that selects a data object in this size-k subset rather than in the entire database, her “regret ratio” is minimized. Here, the regret ratio is modeled by the level of difference in the optimality between the optimal object in the size-k subset returned and the optimal object in the entire da...

This research looks into the possibility of bringing together two distinct and empirically successful areas of behavioural economics; regret aversion and quasi-hyperbolic discounting. Standard regret aversion theory (Loomes and Sugden 1982, Bell 1982) operates in a world of uncertainty, where regret aversion arises due to the possibility of, having made an initial choice, a more preferable opti...

In this note, we study Nesterov’s accelerated gradient descent method in an online setting and establish both variational static and dynamic regret bounds using the functional variation, which “match” previous regret bounds in terms of gradient variation. To the best of our knowledge, this is the first work to study Nesterov’s accelerated gradient method in an online setting and our regret boun...

This work deals with four classical prediction games, namely full information, bandit and label efficient (full information or bandit) games as well as three different notions of regret: pseudo-regret, expected regret and tracking the best expert regret. We introduce a new forecaster, INF (Implicitly Normalized Forecaster) based on an arbitrary function ψ for which we propose a unified analysis...

The current study sought to answer three key questions about explaining the emotion of regret in the domain of casual sex: Are sex differences in sexual regret robust or attenuated in a highly egalitarian culture? What proximate psychological variables might explain sex differences in sexual regret? And what accounts for within-sex variation in experiences of sexual regret about casual sex. We ...

What do people think about the emotion of regret? Recent demonstrations of the psychological benefits of regret have been framed against an assumption that most people find regret to be aversive, both when experienced but also when recalled later. Two studies explored lay evaluations of regret experiences, revealing them to be largely favorable rather than unfavorable. Study 1 demonstrated that...

We present a reduction from cost sensitive classi cation to binary classi cation based on (a modi cation of) error correcting output codes. The reduction satis es the property that regret for binary classi cation implies l2-regret of at most 2 for cost-estimation. This has several implications: 1) Any regret-minimizing online algorithm for 0/1 loss is (via the reduction) a regret-minimizing onl...

"Regret aversion" is proposed to explain a tendency to avoid future choices that have induced past regret. However, regret might also motivate us to repeat previous regret-related choices to make up for their previous selection, a behavior resembling "chasing" in the context of gambling. In the current experiment, we acquired fMRI brain data while participants placed monetary bets on repeated g...