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https://openreview.net/forum?id=NnKIdnPXCr A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality | OpenReview Learning to decouple sources of MRI image quality related to k-space artefacts https://deepai.org/publication/breathe-second-order-gradients-and-heteroscedastic-emulation-based-design-space-exploration BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration |... Aug 16, 2023 - 08/16/23 - Researchers constantly strive to explore larger and more complex search spaces in various scientific studies and physical experime... second order design space breathe gradients https://www.tensorflow.org/agents/api_docs/python/tf_agents/bandits/networks/heteroscedastic_q_network/QBanditNetworkResult?authuser=0 tf_agents.bandits.networks.heteroscedastic_q_network.QBanditNetworkResult | TensorFlow Agents QBanditNetworkResult(q_value_logits, log_variance) tf agents bandits networks heteroscedastic https://www.swp-berlin.org/publikation/the-bootstrap-does-not-always-work-for-heteroscedastic-models The bootstrap does not always work for heteroscedastic models - Stiftung Wissenschaft und Politik https://www.econstor.eu/handle/10419/66248 EconStor: Asymptotic properties of the nonparametric part in partial linear heteroscedastic... EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. of the econstor asymptotic properties https://www.tensorflow.org/agents/api_docs/python/tf_agents/bandits/networks/heteroscedastic_q_network/HeteroscedasticQNetwork?authuser=0 tf_agents.bandits.networks.heteroscedastic_q_network.HeteroscedasticQNetwork | TensorFlow Agents Network Outputting Expected Value and Variance of Rewards. tf agents bandits networks heteroscedastic https://www.econstor.eu/handle/10419/77301 EconStor: On the meta-analysis of treatment differences in heteroscedastic samples EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. on the meta analysis econstor https://openreview.net/forum?id=GsM2qJTAg- Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees... Heteroscedastic Gaussian processes and random features provide a scalable and provably accurate motion primitive for learning from demonstration. gaussian processes heteroscedastic random https://jmlr.org/papers/v24/23-0104.html Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression expectation propagation fast heteroscedastic lasso quantile https://arxiv.org/abs/0807.2547 [0807.2547] Simultaneous estimation of the mean and the variance in heteroscedastic Gaussian... Abstract page for arXiv paper 0807.2547: Simultaneous estimation of the mean and the variance in heteroscedastic Gaussian regression of the https://openreview.net/forum?id=YeLz7FODJJ&referrer=%5Bthe%20profile%20of%20Basil%20Mustafa%5D(%2Fprofile%3Fid%3D~Basil_Mustafa1) Massively Scaling Heteroscedastic Classifiers | OpenReview Heteroscedastic classifiers, which learn a multivariate Gaussian distribution over prediction logits, have been shown to perform well on image classification... massively scaling heteroscedastic classifiers openreview https://www.econstor.eu/handle/10419/220903 EconStor: The Linear Model With Stochastic Regressors and Heteroscedastic Dependent Errors EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. linear model stochastic regressors econstor