Stat.ML Papers
@StatMLPapers
Unofficial updates of statistical machine learning papers on arXiv
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Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing ift.tt/dyLiRtq
Laplace Approximation For Tensor Train Kernel Machines In System Identification ift.tt/ERmqtTz
EcoCast: A Spatio-Temporal Model for Continual Biodiversity and Climate Risk Forecasting ift.tt/P4FwuYX
Unlocking the Power of Boltzmann Machines by Parallelizable Sampler and Efficient Temperature Estimation ift.tt/JbkIBMs
Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients ift.tt/vp25KH1
Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees ift.tt/PNbtOJf
kNNSampler: Stochastic Imputations for Recovering Missing Value Distributions ift.tt/9u57Ykt
Curiosity-Driven Development of Action and Language in Robots Through Self-Exploration ift.tt/wDo76Ov
Front-door Reducibility: Reducing ADMGs to the Standard Front-door Setting via a Graphical Criterion ift.tt/heyq1X7
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Statistics Papers
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