Objective The aim of this study is to evaluate the menstrual pattern, sexual function, and anxiety, and depression in women with poststerilization regret, and potential influencing factors for regret following TL in Iranian women. MaterialsAndMethods In this cross-sectional study, 166 women with TL were subdivided into two groups including women with poststerilization regret (n=41) and women wi...

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...

BACKGROUND & OBJECTIVES It is not known if optimism influences regret following major reconstructive breast surgery. We examined the relationship between dispositional optimism, major complications and decision regret in patients undergoing microsurgical breast reconstruction. METHODS A consecutive series of 290 patients were surveyed. Independent variables were: (1) dispositional optimism an...

Problem 1: rewards from a small interval. Consider a version of the problem in which all the realized rewards are in the interval [12 , 1 2 + ] for some ∈ (0, 1 2). Define versions of UCB1 and Successive Elimination attain improved regret bounds (both logarithmic and root-T) that depend on the . Hint: Use a more efficient version of Hoeffding Inequality in the slides from the first lecture. It ...

CONTEXT In India, female sterilization accounts for 66% of contraceptive use, and age at sterilization is declining. It is likely that some women regret having been sterilized, but data on the prevalence of, and the social and economic correlates of, regret at the national level are insufficient. METHODS Data for analysis came from 30,999 sterilized women aged 15-49 interviewed in the 2005-20...

For the prediction with expert advice setting, we consider methods to construct algorithms that have low adaptive regret. The adaptive regret of an algorithm on a time interval [t1, t2] is the loss of the algorithm minus the loss of the best expert over that interval. Adaptive regret measures how well the algorithm approximates the best expert locally, and so is different from, although closely...

We study the problem of online learning with a notion of regret defined with respect to a set of strategies. We develop tools for analyzing the minimax rates and for deriving regret-minimization algorithms in this scenario. While the standard methods for minimizing the usual notion of regret fail, through our analysis we demonstrate existence of regret-minimization methods that compete with suc...

This paper studies a variety of forms of regret minimization as the criteria with which traders choose their bids/asks in a double auction. Unlike the expected utility maximizers that populate typical market models, these traders do not determine their actions using a single prior. The analysis proves that minimax regret traders will not converge to price-taking as the number of traders in the ...