With growing awareness of societal impact artificial intelligence, fairness has become an important aspect machine learning algorithms. The issue is that human biases towards certain groups population, defined by sensitive features like race and gender, are introduced to the training data through collection labeling. Two directions ensuring research have focused on (i) instance weighting in ord...

Given the recent changes in the policy governing Internet content distribution, such as the institution of per listener royalties for Internet radio broadcasters, content distributors now have an incentive to under-report the size of their audience. Previous audience measurement schemes only protect against inflation of audience size. We present the first protocols for audience measurement that...

Taking note of the wide variety and growing list of models in the literature to explain patterns of behavior observed in laboratory experiments, this paper identifies two tests, the Variety Test (ability of a model to explain outcomes under variety or alternative scenarios) and the Psychological Test (ability of a model to conform to psychological intuition), that can be used to judge any model...

The authors demonstrate the construction of an optimal dynamic portfolio cryptoassets that minimizes either return variance or conditional value at risk. One can view such a as minimum-risk index for this asset class. They carefully backtested model and developed fair valuation options based on pricing underlying cryptoasset index. obtain by passing from natural world to equivalent martingale m...

Non-orthogonal multiple access (NOMA) makes multiple mobile users share the same frequency band. In a conventional NOMA scheme, a user pair that can be assigned to the same frequency resource is limited, which reduces the amount of capacity improvement possible. This is because a far user demodulates a signal without canceling an underlaid signal for a near user. In addition, semi-orthogonalmul...

─ Fair scheduling algorithms have been proposed to tackle the problem of bursty and location-dependent errors in wireless packet networks. Most of those algorithms ensure the fairness property and guarantee the QoS of all sessions in a large-scale cellular network such as GSM or GPRS.In this paper, we propose the Weighted-Sacrificing Fair Queueing (WSFQ) scheduling algorithm for small-area and ...