Oral Session

Tue 13:15

PM: Monte Carlo and Sampling Methods

Spotlight

Wed 8:10

Structured Stochastic Gradient MCMC
Antonios Alexos · Alex Boyd · Stephan Mandt

Spotlight

Tue 14:25

Algorithms for the Communication of Samples
Lucas Theis · Nour Ahmed

Poster

Wed 15:30

Structured Stochastic Gradient MCMC
Antonios Alexos · Alex Boyd · Stephan Mandt

Poster

Tue 15:30

Algorithms for the Communication of Samples
Lucas Theis · Nour Ahmed

Spotlight

Tue 13:50

A Langevin-like Sampler for Discrete Distributions
Ruqi Zhang · Xingchao Liu · Qiang Liu

Spotlight

Wed 8:35

Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner · Justin Domke

Spotlight

Thu 10:55

Linear Complexity Randomized Self-attention Mechanism
Lin Zheng · Chong Wang · Lingpeng Kong

Spotlight

Tue 13:45

LSB: Local Self-Balancing MCMC in Discrete Spaces
EMANUELE SANSONE

Spotlight

Thu 7:50

Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
Elad Tolochinksy · Ibrahim Jubran · Dan Feldman

Poster

Wed 15:30

Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner · Justin Domke

Poster

Tue 15:30

A Langevin-like Sampler for Discrete Distributions
Ruqi Zhang · Xingchao Liu · Qiang Liu