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Workshop
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Function Space Bayesian Pseudocoreset for Bayesian Neural Networks
Balhae Kim · Hyungi Lee · Juho Lee
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Poster
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Thu 13:30
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Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space
Michael Diao · Krishna Balasubramanian · Sinho Chewi · Adil Salim
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Poster
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Wed 14:00
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Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
Oskar Kviman · Ricky Molén · Alexandra Hotti · Semih Kurt · Víctor Elvira · Jens Lagergren
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Poster
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Tue 14:00
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Free-Form Variational Inference for Gaussian Process State-Space Models
Xuhui Fan · Edwin V. Bonilla · Terence O'kane · Scott SIsson
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Workshop
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Multilevel Control Functional
Kaiyu Li · Zhuo Sun
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Poster
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Thu 13:30
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MixFlows: principled variational inference via mixed flows
Zuheng Xu · Naitong Chen · Trevor Campbell
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Workshop
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Attention as Implicit Structural Inference
Ryan Singh · Christopher Buckley
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Workshop
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On the Identifiability of Markov Switching Models
Carles Balsells Rodas · Yixin Wang · Yingzhen Li
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Poster
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Tue 17:00
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Traversing Between Modes in Function Space for Fast Ensembling
EungGu Yun · Hyungi Lee · Giung Nam · Juho Lee
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Workshop
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Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation
Qiwen Cui · Kaiqing Zhang · Simon Du
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Poster
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Wed 17:00
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Efficient Parametric Approximations of Neural Network Function Space Distance
Nikita Dhawan · Sicong Huang · Juhan Bae · Roger Grosse
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Workshop
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Sparse Function-space Representation of Neural Networks
Aidan Scannell · Riccardo Mereu · Paul Chang · Ella Tamir · Joni Pajarinen · Arno Solin
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