Zobrazeno 1 - 10
of 254
pro vyhledávání: '"Zame, William"'
Autor:
Zame, William R.
The continuous time model of dynamic asset trading is the central model of modern finance. Because trading cannot in fact take place at every moment of time, it would seem desirable to show that the continuous time model can be viewed as the limit of
Externí odkaz:
http://arxiv.org/abs/2207.03397
Modeling the preferences of agents over a set of alternatives is a principal concern in many areas. The dominant approach has been to find a single reward/utility function with the property that alternatives yielding higher rewards are preferred over
Externí odkaz:
http://arxiv.org/abs/2202.10153
Modeling a system's temporal behaviour in reaction to external stimuli is a fundamental problem in many areas. Pure Machine Learning (ML) approaches often fail in the small sample regime and cannot provide actionable insights beyond predictions. A pr
Externí odkaz:
http://arxiv.org/abs/2106.02875
Phase I clinical trials are designed to test the safety (non-toxicity) of drugs and find the maximum tolerated dose (MTD). This task becomes significantly more challenging when multiple-drug dose-combinations (DC) are involved, due to the inherent co
Externí odkaz:
http://arxiv.org/abs/2101.10998
Publikováno v:
Advances in Neural Information Processing Systems 33 (2020) 17838-17849
Machine Learning has proved its ability to produce accurate models but the deployment of these models outside the machine learning community has been hindered by the difficulties of interpreting these models. This paper proposes an algorithm that pro
Externí odkaz:
http://arxiv.org/abs/2011.08596
Successful application of machine learning models to real-world prediction problems, e.g. financial forecasting and personalized medicine, has proved to be challenging, because such settings require limiting and quantifying the uncertainty in the mod
Externí odkaz:
http://arxiv.org/abs/2006.14099
Subgroup analysis of treatment effects plays an important role in applications from medicine to public policy to recommender systems. It allows physicians (for example) to identify groups of patients for whom a given drug or treatment is likely to be
Externí odkaz:
http://arxiv.org/abs/2006.07917
Randomized Controlled Trials (RCTs) are the gold standard for comparing the effectiveness of a new treatment to the current one (the control). Most RCTs allocate the patients to the treatment group and the control group by uniform randomization. We s
Externí odkaz:
http://arxiv.org/abs/1810.02876
Existing works on "black-box" model interpretation use local-linear approximations to explain the predictions made for each data instance in terms of the importance assigned to the different features for arriving at the prediction. These works provid
Externí odkaz:
http://arxiv.org/abs/1806.10270
Choosing optimal (or at least better) policies is an important problem in domains from medicine to education to finance and many others. One approach to this problem is through controlled experiments/trials - but controlled experiments are expensive.
Externí odkaz:
http://arxiv.org/abs/1802.08679