In this mathematical study, we delve into the realm of statistical inference and introduce a novel approach to variational non-Bayesian inference.
This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: U Jin Choi, Department of mathematical science, Korea Advanced Institute of Science and Technology & ujchoi@kaist.ac.kr; Kyung Soo Rim, Department of mathematics, Sogang University & ksrim@sogang.ac.kr.
Authors: Authors: U Jin Choi, Department of mathematical science, Korea Advanced Institute of Science and Technology & ujchoi@kaist.ac.kr; Kyung Soo Rim, Department of mathematics, Sogang University & ksrim@sogang.ac.kr.
Philippines Latest News, Philippines Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Predictive Power Unleashed by MIT’s Advanced Bayesian OptimizationScience, Space and Technology News 2024
Read more »
Gene trajectory inference for single-cell data by optimal transport metricsSingle-cell RNA sequencing has been widely used to investigate cell state transitions and gene dynamics of biological processes. Current strategies to infer the sequential dynamics of genes in a process typically rely on constructing cell pseudotime through cell trajectory inference.
Read more »
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Conclusion & ReferencesThis paper investigates how the configuration of on-device hardware affects energy consumption for neural network inference with regular fine-tuning.
Read more »
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Predictor AnalysisThis paper investigates how the configuration of on-device hardware affects energy consumption for neural network inference with regular fine-tuning.
Read more »
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Architecture OverviewThis paper investigates how the configuration of on-device hardware affects energy consumption for neural network inference with regular fine-tuning.
Read more »
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Hardware DetailsThis paper investigates how the configuration of on-device hardware affects energy consumption for neural network inference with regular fine-tuning.
Read more »