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Workshop
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Selective Focusing Learning in Conditional GANs
Kyeongbo Kong · Kyunghun Kim · Woo-jin Song · Suk-Ju Kang
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Workshop
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Sat 12:23
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Selective Focusing Learning in Conditional GANs
Kyeongbo Kong · Kyunghun Kim · Woo-jin Song · Suk-Ju Kang
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Workshop
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A unified PAC-Bayesian framework for machine unlearning via information risk minimization
Sharu Jose · Osvaldo Simeone
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Spotlight
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Thu 5:45
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Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
Shengyang Sun · Jiaxin Shi · Andrew Wilson · Roger Grosse
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Poster
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Thu 9:00
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Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
Artem Artemev · David Burt · Mark van der Wilk
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Poster
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Wed 9:00
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Bayesian Optimistic Optimisation with Exponentially Decaying Regret
Hung Tran-The · Sunil Gupta · Santu Rana · Svetha Venkatesh
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Spotlight
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Wed 18:20
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Gaussian Process-Based Real-Time Learning for Safety Critical Applications
Armin Lederer · Alejandro Ordóñez Conejo · Korbinian Maier · Wenxin Xiao · Jonas Umlauft · Sandra Hirche
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Poster
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Thu 21:00
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SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
Sanyam Kapoor · Marc Finzi · Ke Alexander Wang · Andrew Wilson
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Oral
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Thu 5:00
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Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
Artem Artemev · David Burt · Mark van der Wilk
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Spotlight
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Thu 20:50
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GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
Idan Achituve · Aviv Navon · Yochai Yemini · Gal Chechik · Ethan Fetaya
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Oral
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Thu 19:20
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SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
Sanyam Kapoor · Marc Finzi · Ke Alexander Wang · Andrew Wilson
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Poster
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Thu 21:00
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High-Dimensional Gaussian Process Inference with Derivatives
Filip de Roos · Alexandra Gessner · Philipp Hennig
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