Zobrazeno 1 - 10
of 9 364
pro vyhledávání: '"Luedtke A"'
Publikováno v:
Journal of Causal Inference, Vol 10, Iss 1, Pp 480-493 (2022)
Estimation and evaluation of individualized treatment rules have been studied extensively, but real-world treatment resource constraints have received limited attention in existing methods. We investigate a setting in which treatment is intervened up
Externí odkaz:
https://doaj.org/article/04dbd0458bd540fd8abfa42dc7cb1e41
Autor:
Kothari, Harshit, Luedtke, James R.
Sample average approximation (SAA) is a technique for obtaining approximate solutions to stochastic programs that uses the average from a random sample to approximate the expected value that is being optimized. Since the outcome from solving an SAA i
Externí odkaz:
http://arxiv.org/abs/2411.09091
Inverse weighting with an estimated propensity score is widely used by estimation methods in causal inference to adjust for confounding bias. However, directly inverting propensity score estimates can lead to instability, bias, and excessive variabil
Externí odkaz:
http://arxiv.org/abs/2411.06342
In causal inference, many estimands of interest can be expressed as a linear functional of the outcome regression function; this includes, for example, average causal effects of static, dynamic and stochastic interventions. For learning such estimand
Externí odkaz:
http://arxiv.org/abs/2411.02771
We derive two types of dispersion relations for the hadronic vector-vector-axial-vector (VVA) correlator: one in generic three-point kinematics with fixed photon virtualities, the second in the kinematic limit of one soft photon. The VVA correlator e
Externí odkaz:
http://arxiv.org/abs/2410.11946
Safe and effective preventive vaccines have the potential to help stem the HIV epidemic. The efficacy of such vaccines is typically measured in randomized, double-blind phase IIb/III trials and described as a reduction in newly acquired HIV infection
Externí odkaz:
http://arxiv.org/abs/2410.05594
Real-time systems are intrinsic components of many pivotal applications, such as self-driving vehicles, aerospace and defense systems. The trend in these applications is to incorporate multiple tasks onto fewer, more powerful hardware platforms, e.g.
Externí odkaz:
http://arxiv.org/abs/2410.01528
When assessing the causal effect of a binary exposure using observational data, confounder imbalance across exposure arms must be addressed. Matching methods, including propensity score-based matching, can be used to deconfound the causal relationshi
Externí odkaz:
http://arxiv.org/abs/2409.19230
Autor:
Marton, Sascha, Grams, Tim, Vogt, Florian, Lüdtke, Stefan, Bartelt, Christian, Stuckenschmidt, Heiner
Reinforcement learning (RL) has seen significant success across various domains, but its adoption is often limited by the black-box nature of neural network policies, making them difficult to interpret. In contrast, symbolic policies allow representi
Externí odkaz:
http://arxiv.org/abs/2408.08761
We consider a two-stage stochastic decision problem where the decision-maker has the opportunity to obtain information about the distribution of the random variables $\xi$ that appear in the problem through a set of discrete actions that we refer to
Externí odkaz:
http://arxiv.org/abs/2407.10669