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Workshop
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Fri 11:27
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Non-Gaussian Process Regression
Yaman Kindap
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Workshop
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Non-Gaussian Process Regression
Yaman Kindap · Simon Godsill
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Workshop
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Integrated Fourier Features for Fast Sparse Variational Gaussian Process Regression
Talay Cheema
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Poster
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Byzantine-tolerant federated Gaussian process regression for streaming data
Xu Zhang · Zhenyuan Yuan · Minghui Zhu
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Workshop
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Gaussian Process Regression for In-vehicle Disconnect Clutch Transfer Function Development
Huanyi Shui · Yijing Zhang · Deepthi Antony · devesh upadhyay · James McCallum · Yuji Fujii · Edward Dai
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Affinity Workshop
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Gaussian Process parameterized Covariance Kernels for Non-stationary Regression
Vidhi Lalchand · Talay Cheema · Laurence Aitchison · Carl Edward Rasmussen
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Affinity Workshop
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Mixture of Gaussian Processes with Probabilistic Circuits for Multi-Output Regression
Mingye Zhu · Zhongjie Yu · Martin Trapp · Arseny Skryagin · Kristian Kersting
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Poster
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Sparse Additive Gaussian Process Regression
Hengrui Luo · Giovanni Nattino · Matthew Pratola
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Workshop
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Control and Calibration of GlueX Central Drift Chamber Using Gaussian Process Regression
Diana McSpadden · Torri Jeske · Naomi Jarvis · David Lawrence · Thomas Britton · nikhil kalra
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Poster
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Tue 9:00
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Global Convergence of Federated Learning for Mixed Regression
Lili Su · Jiaming Xu · Pengkun Yang
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Poster
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Wed 14:00
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Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning
Harikrishnan N B · Aditi Kathpalia · Nithin Nagaraj
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Workshop
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Completing the Model Optimization Process by Correcting Patterns of Failure in Regression Tasks
Thomas Bonnier
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