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Poster
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Regression under demographic parity constraints via unlabeled post-processing
Gayane Taturyan · Evgenii Chzhen · Mohamed Hebiri
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Competition
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Sat 13:50
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#1st Place- MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability
Fabien Casenave
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Workshop
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Failure Prediction from Few Expert Demonstrations
Anjali Parashar · Kunal Garg · Joseph Zhang · Chuchu Fan
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Workshop
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Efficient Bayesian Additive Regression Models For Microbiome and Gene Expression Studies
Tinghua Chen · Michelle Nixon · Justin Silverman
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Workshop
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Improving the Gaussian Approximation in Neural Networks: Para-Gaussians and Edgeworth Expansions
Mihai Nica · Janosch Ortmann
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Poster
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Wed 11:00
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Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
Haolun Wu · Ofer Meshi · Masrour Zoghi · Fernando Diaz · Xue (Steve) Liu · Craig Boutilier · Maryam Karimzadehgan
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Workshop
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Sat 11:10
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Contributed Talk: Taiwo Adebiyi - Gaussian Process Thompson Sampling via Rootfinding
Taiwo Adebiyi
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Workshop
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Are Police Biased? An NLP Approach
Jonathan Choi
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Workshop
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Sat 15:45
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Are Police Biased? An NLP Approach
Jonathan Choi
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Workshop
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Uncovering Neural Encoding Variability with Infinite Gaussian Process Factor Analysis
Changmin Yu · Mate Lengyel
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Workshop
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Sat 11:00
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Contributed Talk: Mathieu Alain - Graph Classification Gaussian Processes via Hodgelet Spectral Features
Mathieu Alain
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Workshop
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Gaussian Process Thompson Sampling via Rootfinding
Taiwo Adebiyi · Bach Do · Ruda Zhang
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