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Oral Session
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Tue 13:15
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PM: Monte Carlo and Sampling Methods
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Spotlight
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Wed 8:10
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Structured Stochastic Gradient MCMC
Antonios Alexos · Alex Boyd · Stephan Mandt
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Spotlight
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Tue 14:25
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Algorithms for the Communication of Samples
Lucas Theis · Nour Ahmed
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Poster
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Wed 15:30
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Structured Stochastic Gradient MCMC
Antonios Alexos · Alex Boyd · Stephan Mandt
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Poster
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Tue 15:30
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Algorithms for the Communication of Samples
Lucas Theis · Nour Ahmed
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Spotlight
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Tue 13:50
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A Langevin-like Sampler for Discrete Distributions
Ruqi Zhang · Xingchao Liu · Qiang Liu
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Spotlight
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Wed 8:35
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Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner · Justin Domke
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Spotlight
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Thu 10:55
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Linear Complexity Randomized Self-attention Mechanism
Lin Zheng · Chong Wang · Lingpeng Kong
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Spotlight
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Tue 13:45
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LSB: Local Self-Balancing MCMC in Discrete Spaces
EMANUELE SANSONE
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Spotlight
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Thu 7:50
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Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
Elad Tolochinksy · Ibrahim Jubran · Dan Feldman
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Poster
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Wed 15:30
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Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner · Justin Domke
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Poster
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Tue 15:30
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A Langevin-like Sampler for Discrete Distributions
Ruqi Zhang · Xingchao Liu · Qiang Liu
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